เงื่อนไขการค้นหา

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Big Data, Hive, SAS

ประเภทงาน:

งานประจำ

• Design, implement, and maintain data analytics pipelines and processing systems.
• Experience of data modelling techniques and integration patterns.
• Write data transformation jobs through code.
• Analyze large datasets to extract insights and identify trends.
• Perform data management through data quality tests, monitoring, cataloging, and governance.
• Knowledge in data infrastructure ecosystem.
• Collaborate with cross-functional teams to identify opportunities to leverage data to drive business outcomes.
• Build data visualizations to communicate findings to stakeholders.
• A willingness to learn and find solutions to complex problems.
• Stay up-to-date with the latest developments in data analytics and science.
• Experience migrating from on-premise data stores to cloud solutions.
• Knowledge of system design and platform thinking to build sustainable solution.
• Practical experience with modern and traditional Big Data stacks (e.g BigQuery, Spark, Databricks, duckDB, Impala, Hive, etc).
• Experience working with data warehouse solutions ELT solutions, tools, and techniques (e.g. Airflow, dbt, SAS, Matillion, Nifi).
• Experience with agile software delivery and CI/CD processes.
• Bachelor's or Master's degree in computer science, statistics, engineering, or a related field.
• At least 3 years of experience in data analysis and modeling.
• Proficiency in Python, and SQL.
• Experience with data visualization tools such as Tableau, Grafana or similar.
• Familiarity with cloud computing platforms, such as GCP, AWS or Databricks.
• Strong problem-solving skills and the ability to work independently as well as collaboratively.
• This role offers a clear path to advance into machine learning and AI with data quality and management, providing opportunities to work on innovative projects and develop new skills in these exciting fields..
• Contact: [email protected] (K.Thipwimon).
• ท่านสามารถอ่านและศึกษานโยบายความเป็นส่วนตัวของธนาคารกรุงไทย จำกัด (มหาชน) ที่ https://krungthai.com/th/content/privacy-policy ทั้งนี้ ธนาคารไม่มีเจตนาหรือความจำเป็นใดๆ ที่จะประมวลผลข้อมูลส่วนบุคคลที่มีความอ่อนไหว รวมถึงข้อมูลที่เกี่ยวข้องศาสนาและ/หรือหมู่โลหิต ซึ่งอาจปรากฏอยู่ในสำเนาบัตรประจำตัวประชาชนของท่านแต่อย่างใด ดังนั้น กรุณาอย่าอัปโหลดเอกสารใดๆ รวมถึงสำเนาบัตรประจำตัวประชาชน หรือกรอกข้อมูลส่วนบุคคลที่มีความอ่อนไหวหรือข้อมูลอื่นใด ซึ่งไม่เกี่ยวข้องหรือไม่จำเป็นสำหรับวัตถุประสงค์ในการสมัครงานไว้บนเว็บไซต์ นอกจากนี้ กรุณาดำเนินการให้แน่ใจว่าได้ดำเนินการลบข้อมูลส่วนบุคคลที่มีความอ่อนไหว (ถ้ามี) ออกจากเรซูเม่และเอกสารอื่นใดก่อนที่จะอัปโหลดเอกสารดังกล่าวไว้บนเว็บไซต์แล้วด้วย ทั้งนี้ ธนาคารมีความจำเป็นต้องเก็บรวบรวมข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านเพื่อบรรลุวัตถุประสงค์ในการพิจารณารับบุคคลเข้าทำงาน หรือการตรวจสอบคุณสมบัติ ลักษณะต้องห้าม หรือพิจารณาความเหมาะสมของบุคคลที่จะให้ดำรงตำแหน่ง ซึ่งการให้ความยินยอมเพื่อเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านมีความจำเป็นสำหรับการเข้าทำสัญญาและการได้รับการพิจารณาตามวัตถุประสงค์ดังกล่าวข้างต้น ในกรณีที่ท่านไม่ให้ความยินยอมในการเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรม หรือมีการถอนความยินยอมในภายหลัง ธนาคารอาจไม่สามารถดำเนินการเพื่อบรรลุวัตถุประสงค์ดังกล่าวข้างต้นได้ และอาจ ทำให้ท่านสูญเสียโอกาสในการได้รับการพิจารณารับเข้าทำงานกับธนาคาร .

ทักษะ:

Compliance, Data Analysis, Power BI

ประเภทงาน:

งานประจำ

• Build and maintain an HR data repository tailored to the food business under ThaiBev group, focusing on metrics critical to food operations, such as labor productivity, turnover by location, and shift coverage efficiency.
• Ensure data integrity and compliance with industry-specific labor regulations, maintaining a transparent and accurate source of HR information.
• Collaborate with operations teams to integrate labor data from multiple food business units, enabling holistic insights across various branches and regions.
• Assist HR Line Manager on Strategic HR Analytics for Workforce OptimizationConduct data analysis on staffing patterns, turnover rates, and workforce efficiency to identify optimization opportunities aligned with food business cycles.
• Use predictive analytics to anticipate workforce needs for peak and off-peak seasons, aiding in proactive staffing and cost control with operation team to centralization.
• Assist on Commercial Structure and Labor Cost Management for Food OperationsAnalyze labor costs relative to revenue and operational efficiency within different food outlets, providing insights to optimize staffing while maximizing profitability.
• Support the development of labor cost budgets that align with product pricing and sales targets in the food sector, helping maintain competitive yet profitable operations.
• Generate regular reports on labor cost performance against targets, identifying areas for improvement and enabling business leaders to adjust strategy as needed.
• Be Leader on developing Power BI Development for Real-Time Food Business InsightsDesign and deploy Power BI dashboards specific to food operations, offering real-time insights on key metrics like labor costs, staffing levels, and turnover rates across outlets.
• Collaborate with senior leaders in the food division to customize dashboards, highlighting KPIs that impact food production, service speed, and customer satisfaction.
• Continuously update Power BI capabilities to provide comprehensive, up-to-date views on HR metrics essential to food business strategy.
• 3+ years of experience in analytics, data management not specific in HR experience.
• Demonstrated proficiency in Power BI development and advanced Excel skills, including VBA, macros, and pivot tables.
• Prior experience in labor cost analysis, commercial structure evaluation.
• Contact Information:-.
• Oishi Group Public Company Limited.
• CW Tower, No.90. Ratchadapisek Road, Huai Khwang, Bangkok.

ทักษะ:

Sales, Business Development, Legal

ประเภทงาน:

งานประจำ

• Bachelor's degree or equivalent practical experience.
• 10 years of experience in Oil and Gas enterprise sales.
• Experience in a technology related Sales or business development role at a Business-to-Business software company.
• Preferred qualifications:10 years of experience promoting infrastructure software, databases, analytic tools, or applications software.
• Experience working with and managing partners on complex implementation projects, including global system integrators and packaged software vendors.
• Experience in commercial and legal negotiations, working with Procurement, Legal, and Business teams.
• Experience working with and presenting to C-level executives.
• Ability to work with sales engineers and customer's technical leads to inventory existing software estate, define migration plans, and build business cases for migrations.
• As a member of the Google Cloud team, you inspire leading companies, schools, and government agencies to work smarter with Google tools like Google Workspace, Search, and Chrome. You advocate the innovative power of our products to make organizations more productive, collaborative, and mobile. Using your passion for Google products, you help spread the magic of Google to organizations around the world.
• As a Field Sales Representative, you will leverage existing relationships with Oil and Gas accounts, develop relationships, and act as a trusted business partner to understand their company issues and goals. You will promote the innovative power of our products to make organizations productive and collaborative.
• Google Cloud accelerates organizations' ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology - all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
• ResponsibilitiesBuild relationships with enterprise customers, influence strategic direction and serve as a business partner.
• Lead account strategy in generating and developing business growth opportunities, work collaboratively with Customer Engineers and Google Partners to optimize business results in the territory and open up opportunities with existing and prospective customers.
• Understand the technology footprint, strategic growth plans, business drivers, and technology strategy of assigned accounts.
• Manage multiple opportunities through the entire business cycle simultaneously, work with cross-functional teams and serve as the primary customer contact for all business/adoption related activities, including the development of strategic agreements.
• Deliver complex business agreements through business development, forecast accurately, and achieve strategic goals by leading customers through the entire business cycle.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See alsoGoogle's EEO Policy andEEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing ourAccommodations for Applicants form.

ทักษะ:

Industry trends, Statistics, Python

ประเภทงาน:

งานประจำ

• Develop and execute a forward-thinking analytics strategy tailored to the retail industry, focusing on leveraging data platforms to drive revenue growth, operational efficiency, and customer satisfaction.
• Lead, mentor, and inspire a team of data scientists and analysts, fostering a culture of innovation, collaboration, and data-driven decision-making.
• Stay ahead of industry trends, emerging technologies, and best practices in data science and retail analytics to maintain CP Axtra s competitive edge.
• Analytics Execution.
• Oversee the integration of diverse data sources, including POS systems, CRM platforms, online transactions, and third-party providers, into our cloud-based data platform.
• Design and develop advanced machine learning models, algorithms, and statistical analyses to uncover actionable insights related to customer behavior, product performance, and market trends.
• Apply expertise in recommendation and personalization algorithms to enhance customer experiences and engagement.
• Deliver data-driven solutions to optimize pricing strategies, inventory management, and promotional campaigns, leveraging state-of-the-art analytics tools and methodologies.
• Business Partnership.
• Partner closely with retail operations, marketing, and sales teams to understand business challenges and provide tailored analytical support that aligns with strategic objectives.
• Identify opportunities to enhance customer segmentation, personalized marketing efforts, and customer retention strategies through advanced data science techniques.
• Act as a key advisor to senior leadership, translating complex data insights into actionable recommendations and business value.
• Performance Monitoring and Optimization.
• Define and monitor key performance indicators (KPIs) related to retail operations, such as sales conversion rates, customer lifetime value, and basket analysis.
• Leverage analytics to continuously assess and optimize business processes, driving operational efficiency and profitability.
• Communication and Presentation.
• Present complex analytical findings, models, and recommendations to stakeholders in a clear, impactful, and visually compelling manner.
• Collaborate across departments to implement data-driven initiatives that align with CPaxtra s goals and drive tangible outcomes.
• Education and Experience.
• Bachelor s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related field (Master s or PhD strongly preferred).
• Extensive experience in analytics, data science, or business intelligence roles, with significant exposure to the retail industry.
• Technical Skills.
• Advanced proficiency in Python, R, SQL, and machine learning frameworks.
• Expertise in data visualization tools (e.g., Tableau, Power BI) and cloud-based data platforms (e.g., AWS, GCP, Azure).
• In-depth knowledge of big data technologies (e.g., Spark, Hadoop) and modern data engineering practices.
• Strong understanding of recommendation/personalization algorithms and data processing technologies.
• Leadership and Business Acumen.
• Proven ability to lead high-performing teams in a dynamic, fast-paced environment.
• Exceptional strategic thinking and problem-solving skills with a demonstrated focus on delivering business value.
• Deep understanding of retail operations, including inventory management, customer journey mapping, and merchandising strategies.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Data Analysis, Python, SQL, Power BI

ประเภทงาน:

งานประจำ

• Data Collection and Cleaning: Gather data from various sources and prepare it for analysis by cleaning and checking for completeness or errors.
• Data Analysis: Utilize statistical techniques to study, analyze, discover insights, and derive meaningful data-driven conclusions.
• Reporting: Create reports in various formats, presenting data through graphs, features, or figures for stakeholders' use.
• Collaboration: Work with other teams to plan data analysis or resolve specific issues affecting organizational goals.
• Performance Monitoring: Define and track key performance indicators (KPIs) to measure the effectiveness and efficiency of various projects.
• Strategic Planning: Assist the management team in strategic planning by using data analysis to improve workflows and processes.
• Bachelor's or master's degree in computer science, information systems, or a related field.
• Strong programming skills in languages such as PowerBI, R, Python, SQL. C++.
• At least 5 year experience with data modeling, database design, and data warehousing concepts.
• Proficiency in working with relational databases (e.g., MySQL, PostgreSQL).
• Knowledge of ETL tools and techniques for data integration and transformation is a plus.
• Location: BTS Ekkamai
• Working Day: Mon-Fri.

ทักษะ:

YouTube, Digital Marketing, Google Analytics

ประเภทงาน:

งานประจำ

• Plan Slot and execute media & campaigns in multiple channels (Makro: FB /IG / LINE / YouTube).
• Provide accounts and handle day-to-day operations to ensure the campaign s results achieve the goals.
• Monitor the results of all owned media campaigns to ensure they run smoothly and achieve goals.
• Provide monthly performance reports, conclusions, and recommendations.
• Coordinate with the Makro Store to provide Google Business and Line@store.
• Work together with venders, and the communication team to make offline and online material for Makro campaigns.
• Bachelor s degree in marketing, communications, business, or a related field.
• 2-3 years of experience in digital media planning and buying, preferably in Retail, FMCG industries.
• Proven experience with digital media platforms such as Facebook, LINE, YouTube, Google advertising, and display networks.
• Strong understanding of digital marketing metrics, tools, and analytics (e.g., Google Analytics, Facebook Ads Manager).
• Data-driven mindset with the ability to analyze campaign performance and optimize accordingly.
• Excellent communication and management skills.
• Ability to work in a fast-paced environment and manage multiple projects simultaneously.
• Proficiency in Microsoft Excel, Word, and PowerPoint.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Product Development, Quantitative Analysis, Data Analysis

ประเภทงาน:

งานประจำ

• General: This role is a blend of hands on 'in the business' and executive level 'on the business' work. To succeed you will enjoy rolling up your sleeves, leading a team and contributing to strategy.
• Project Delivery: Manage, standardize & validate the structure of business cases for product development, headcount, engineering resources, budgets, general strategic & roadmap prioritization.
• Experimentation: Define success, measure / validate experiments and help ingrain an ...
• Forecasting and Insights: Provide a macro-led business intelligence view to the organization to prevent missed opportunities, surmount obstacles at all organizational levels and drive commercial behaviors.
• Analytics & Alerts: Quantitative analysis, data mining and presentation of business metrics; identify drivers and build an end-to-end communication framework based on business value, effort and urgency.
• Process Improvement: Work with all teams to drive inter- and intra- departmental efficiencies, optimize processes and prioritize system enhancements.
• Reporting: Build dashboards, internal / external reports and present key datasets to enable all team members to efficiently and effectively monitor performance and prioritize their efforts.
• Leadership: Lead a small team of experts to deliver the above functions and be excited by the challenge of mentoring team members across the chain and connectivity teams.
• 7+ years of leadership experience in analytics/data science/insights/strategy.
• 4+ years' experience leading analytics, operational, product or other technical teams.
• Expert domain of data analysis and data visualization tools and software such as Excel, SQL, Tableau, Python, R, or similar.
• Strong statistical modelling and machine learning knowledge.
• Strong experience in finding data insights and provide business recommendation to the business.
• Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
• Ability to multi-task, prioritize and coordinate resources.
• Strong program/project management experience.
• Bachelor's degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• Experience in articulating strategic issues and negotiating with C-level executives - experience in leading strategy consulting projects a plus.
• People management - track record of developing stars.
• Ability and willingness to drive projects independently, working efficiently to deliver results rapidly and engaging the relevant stakeholders throughout the process.
• Master's degree in statistics, economics, mathematics or similar discipline.
• Experience in conducting A/B testing experimentation.
• Travel industry / e-commerce / tech / consulting experience.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Product Development, Quantitative Analysis, Data Analysis

ประเภทงาน:

งานประจำ

• General: This role is a blend of hands on 'in the business' and executive level 'on the business' work. To succeed you will enjoy rolling up your sleeves, leading a team and contributing to strategy.
• Project Delivery: Manage, standardize & validate the structure of business cases for product development, headcount, engineering resources, budgets, general strategic & roadmap prioritization.
• Experimentation: Define success, measure / validate experiments and help ingrain an ...
• Forecasting and Insights: Provide a macro-led business intelligence view to the organization to prevent missed opportunities, surmount obstacles at all organizational levels and drive commercial behaviors.
• Analytics & Alerts: Quantitative analysis, data mining and presentation of business metrics; identify drivers and build an end-to-end communication framework based on business value, effort and urgency.
• Process Improvement: Work with all teams to drive inter- and intra- departmental efficiencies, optimize processes and prioritize system enhancements.
• Reporting: Build dashboards, internal / external reports and present key datasets to enable all team members to efficiently and effectively monitor performance and prioritize their efforts.
• Leadership: Lead a small team of experts to deliver the above functions and be excited by the challenge of mentoring team members across the chain and connectivity teams.
• 5+ years of leadership experience in analytics/data science/insights/strategy.
• 2+ years' experience leading analytics, operational, product or other technical teams.
• Expert domain of data analysis and data visualization tools and software such as Excel, SQL, Tableau, Python, R, or similar.
• Strong statistical modelling and machine learning knowledge.
• Strong experience in finding data insights and provide business recommendation to the business.
• Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
• Ability to multi-task, prioritize and coordinate resources.
• Strong program/project management experience.
• Bachelor's degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• Experience in articulating strategic issues and negotiating with C-level executives - experience in leading strategy consulting projects a plus.
• People management - track record of developing stars.
• Ability and willingness to drive projects independently, working efficiently to deliver results rapidly and engaging the relevant stakeholders throughout the process.
• Master's degree in statistics, economics, mathematics or similar discipline.
• Experience in conducting A/B testing experimentation.
• Travel industry / e-commerce / tech / consulting experience.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Product Development, Quantitative Analysis, Data Analysis

ประเภทงาน:

งานประจำ

• General: This role is a blend of hands on 'in the business' and executive level 'on the business' work. To succeed you will enjoy rolling up your sleeves, leading a team and contributing to strategy.
• Project Delivery: Manage, standardize & validate the structure of business cases for product development, headcount, engineering resources, budgets, general strategic & roadmap prioritization.
• Experimentation: Define success, measure / validate experiments and help ingrain an ...
• Forecasting and Insights: Provide a macro-led business intelligence view to the organization to prevent missed opportunities, surmount obstacles at all organizational levels and drive commercial behaviors.
• Analytics & Alerts: Quantitative analysis, data mining and presentation of business metrics; identify drivers and build an end-to-end communication framework based on business value, effort and urgency.
• Process Improvement: Work with all teams to drive inter- and intra- departmental efficiencies, optimize processes and prioritize system enhancements.
• Reporting: Build dashboards, internal / external reports and present key datasets to enable all team members to efficiently and effectively monitor performance and prioritize their efforts.
• Leadership: Lead a small team of experts to deliver the above functions and be excited by the challenge of mentoring team members across the chain and connectivity teams.
• 8+ years of leadership experience in analytics/data science/insights/strategy.
• 5+ years' experience leading analytics, operational, product or other technical teams.
• Expert domain of data analysis and data visualization tools and software such as Excel, SQL, Tableau, Python, R, or similar.
• Strong statistical modelling and machine learning knowledge.
• Strong experience in finding data insights and provide business recommendation to the business.
• Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
• Ability to multi-task, prioritize and coordinate resources.
• Strong program/project management experience.
• Bachelor's degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• Experience in articulating strategic issues and negotiating with C-level executives - experience in leading strategy consulting projects a plus.
• People management - track record of developing stars.
• Ability and willingness to drive projects independently, working efficiently to deliver results rapidly and engaging the relevant stakeholders throughout the process.
• Master's degree in statistics, economics, mathematics or similar discipline.
• Experience in conducting A/B testing experimentation.
• Travel industry / e-commerce / tech / consulting experience.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Business Development, Assurance, Salesforce

ประเภทงาน:

งานประจำ

• Design and architect client-specific tagging and analytics solutions for digital experience optimization, multi-platform implementations, A/B testing, user behavior analytics, conversion tracking, key measurement, custom tracking solutions, report and dashboard.
• Lead technical discovery workshops to develop measurement strategies while providing consultation during client pitches and new business development.
• Develop comprehensive analytics & tagging implementation guidelines including data l ...
• Partner with growth & business development teams for solutions implementation and lead technical scoping for client projects.
• Establish technical standards across implementations to ensure consistency, scalability, and data quality.
• Advise clients, ensure quality assurance, and drive innovation in measurement solutions.
• Lead evaluation of new tracking technologies and capabilities for client analytics advancement.
• Develop relationships with analytics technology partners and vendors for effective client solutions.
• Create training programs to enhance team's technical capabilities and client's understanding of solutions.
• Qualifications Bachelor's degree in Computer Science, Analytics, or related technical field.
• 3-5+ years experience in digital analytics & tag implementation.
• Expert knowledge of cloud & CDP platforms (GCP, AWS, Salesforce Data Cloud, Tealium, Segment, Treasure Data), tag management systems (GTM, Tealium, Adobe Launch), analytics platforms (GA4, Adobe Analytics), testing tools (Optimize, Optimizely, VWO), marketing technology platforms, JavaScript and front-end technologies.
• Experience in creating dashboards and reports using Looker Studio, Google BigQuery, Firebase Analytics, Power BI or similar data visualization tools with understanding of SQL and basic data manipulation.
• Strong experience in client consulting and requirement gathering, creating technical documentation, leading implementation projects, delivery processes, and multi-platform tracking solutions.
• Excellent client-facing communication and presentation skills with ability to translate complex technical concepts to various stakeholders with problem solving skills.
• Deep understanding of digital marketing and advertising, user experience optimization, data governance & privacy regulations, web performance optimization, and marketing technology landscape.
• Location: Bangkok Brand: Dentsu Cxm Time Type: Full time Contract Type: Permanent

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

Product Development, Quantitative Analysis, Data Analysis

ประเภทงาน:

งานประจำ

• General: This role is a blend of hands on 'in the business' and executive level 'on the business' work. To succeed you will enjoy rolling up your sleeves, leading a team and contributing to strategy.
• Project Delivery: Manage, standardize & validate the structure of business cases for product development, headcount, engineering resources, budgets, general strategic & roadmap prioritization.
• Experimentation: Define success, measure / validate experiments and help ingrain an ...
• Forecasting and Insights: Provide a macro-led business intelligence view to the organization to prevent missed opportunities, surmount obstacles at all organizational levels and drive commercial behaviors.
• Analytics & Alerts: Quantitative analysis, data mining and presentation of business metrics; identify drivers and build an end-to-end communication framework based on business value, effort and urgency.
• Process Improvement: Work with all teams to drive inter- and intra- departmental efficiencies, optimize processes and prioritize system enhancements.
• Reporting: Build dashboards, internal / external reports and present key datasets to enable all team members to efficiently and effectively monitor performance and prioritize their efforts.
• Leadership: Lead a small team of experts to deliver the above functions and be excited by the challenge of mentoring team members across the chain and connectivity teams.
• 6+ years of leadership experience in analytics/data science/insights/strategy.
• 3+ years' experience leading analytics, operational, product or other technical teams.
• Expert domain of data analysis and data visualization tools and software such as Excel, SQL, Tableau, Python, R, or similar.
• Strong statistical modelling and machine learning knowledge.
• Strong experience in finding data insights and provide business recommendation to the business.
• Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
• Ability to multi-task, prioritize and coordinate resources.
• Strong program/project management experience.
• Bachelor's degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• Experience in articulating strategic issues and negotiating with C-level executives - experience in leading strategy consulting projects a plus.
• People management - track record of developing stars.
• Ability and willingness to drive projects independently, working efficiently to deliver results rapidly and engaging the relevant stakeholders throughout the process.
• Master's degree in statistics, economics, mathematics or similar discipline.
• Experience in conducting A/B testing experimentation.
• Travel industry / e-commerce / tech / consulting experience.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Product Development, Quantitative Analysis, Data Analysis

ประเภทงาน:

งานประจำ

• Leadership & Strategy: Blend hands-on work with executive-level strategy. Roll up your sleeves, lead a team, and contribute to our growth.
• Project Delivery: Manage and standardize business case structures for product development, resource allocation, and strategic prioritization.
• Experimentation: Define success metrics, validate experiments, and foster an experimental mindset within teams.
• Forecasting & Insights: Provide macro-level business intelligence to prevent missed opportunities and drive commercial behaviors.
• Analytics & Alerts: Conduct quantitative analysis, data mining, and present business metrics. Build an end-to-end communication framework based on business value, effort, and urgency.
• Process Improvement: Drive efficiency across departments, optimize processes, and prioritize system enhancements.
• Reporting: Build dashboards, create internal and external reports, and present key datasets to enable efficient performance monitoring.
• Mentorship: Lead a team of experts and mentor team members across the chain and connectivity teams.
• 5+ years of leadership experience in analytics, data science, insights, or strategy.
• 2+ years of experience leading analytics, operational, product, or technical teams.
• Expertise in data analysis and visualization tools such as Excel, SQL, Tableau, Python, R, or similar.
• Strong knowledge of statistical modeling and machine learning.
• Proven ability to derive business insights from data and provide actionable recommendations.
• Excellent written, verbal, and interpersonal communication skills.
• Strong project management skills and the ability to multi-task, prioritize, and coordinate resources.
• Bachelor's degree in a business or quantitative field (e.g., computer science, mathematics, engineering, economics, or finance).
• Experience in articulating strategic issues and negotiating with C-level executives. Experience in leading strategy consulting projects is a plus.
• Proven track record of developing talent and managing teams.
• Ability and willingness to drive projects independently and engage stakeholders throughout the process.
• Master's degree in statistics, economics, mathematics, or a similar discipline.
• Experience in conducting A/B testing and experimentation.
• Experience in the travel industry, e-commerce, tech, or consulting.
• Why Join Us?.
• Impactful Work: Drive strategic initiatives and shape the future of our Supply department.
• Collaborative Environment: Work with diverse, cross-functional teams and top-level executives.
• Growth Opportunities: Develop your skills and career in a dynamic and supportive environment.
• Exciting Location: Experience the vibrant culture and opportunities in Bangkok, with relocation assistance provided.
• Ready to Make a Difference?.
• Join us and be part of an exciting journey to innovate and excel. Apply now to become our next Manager, Analytics & Insights!.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

SEO, Quality Assurance, Assurance

ประเภทงาน:

งานประจำ

• Managing and mentoring the SEO team.
• Reviewing all SEO work streams for quality assurance.
• Leading client meetings and delivering well informed SEO POV s.
• Communicating to internal and external stakeholders in a clear and timely manner.
• Developing SEO strategies and initiatives, with support from the SEO Associate Director.
• Ensuring SEO initiatives are being executed as agreed against the scope of work and completed to a high standard.
• Developing client KPIs and updating roadmaps to measure performance and success of workstreams carried out.
• Seeking pro-active opportunities that would benefit the client s business KPIs.
• Staying well-informed of all the latest SEO developments and news and sharing relevant updates with the client and SEO team.
• Effectively delegating work to SEO Executive and ensuring they understand their role and responsibilities.
• Identifying any SEO issues that may arise and be able to provide recommendations to rectify these.
• Maintaining a positive, motivating and inspiring team culture.
• Working with the SEM team and wider business units where required.
• Be a part of the wider media community which offers: networking opportunities across the globe, agencies and much more.
• Extensive career training and development, giving you the knowledge and confidence needed for greatness.
• The perfect role to diversify your skills in Search and beyond, looking to integrate with wider business units such as SEM, Social and Data & Analytics.
• Understand the client s scope of work and undertake training across their key product/service offerings.
• Build knowledge across GroupM s bespoke Search tools and our vision/purpose, and be able to articulate services to the agency and client.
• Develop relationships with all key client and agency stakeholders, as well as members within your immediate team.
• Ensure work streams are being carried out to a high standard.
• Establish consultative relationships with key client stakeholders and ensure work is being delivered against agreed client KPIs.
• Confidently oversee the Executive s work streams to ensure work is being delivered to a high standard and as agreed against the scope of work.
• Ensure workstreams are delivering against client KPIs and look to grow opportunities outside of the existing scope of work.
• Lead the strategic direction of the client account.
• Build the knowledge of SEO within the client s wider business.
• A passion for SEO and the positive impact it can have not just on Search but also wider business units e.g. Social, SEM and Affiliate Marketing.
• Confidence to present and speak to different stakeholders with a varying understanding of SEO.
• Knowledge of how to provide career development and guidance to direct reports.
• At least 7 years of SEO experience, with a strong technical SEO background.
• 3+ years experience managing and developing a team or handling a client.
• Advanced understanding of tools such as Google Analytics, Adobe Analytics, SEMRush, Ahrefs, Screaming Frog, Google Search Console.
• Understanding of HTML, CSS and Javascript.
• Clear and effective written and verbal communication skills and the ability to confidently interact with different stakeholders.
• Excellent time management and organisational skills, and a strong ability to handle conflicting demands.
• Previous track record of creating SEO strategies that have driven and aligned to successful client business results.
• Experience in diagnosing and resolving complex SEO issues.
• Background in a SEO or performance agency is a plus.
• More about GroupM.
• GroupM - GroupM leads and shapes media markets by delivering performance enhancing media products and services, powered by data and technology. Our global network agencies and businesses enable our people to work collaboratively across borders with the best in class, providing them the opportunity to accelerate their progress and development. We are not limited by teams or geographies; our scale and diverse range of clients lets us be more adventurous with our business and talent. We give our talent the space, support and tools to innovate and grow.
• Discover more about GroupM at www.groupm.com
• Follow @GroupMAPAC on Twitter
• Follow GroupM on LinkedIn - https://www.linkedin.com/company/groupm
• More about Thailand.
• In a population of 69 million people, Thailand s mobile penetration is at a whopping 120% with smart phone penetration at 50%. Digital spend has grown 38% year-on-year and most people are now accessing the internet via mobile devices. Bangkok is one of the top Facebook cities in the world and Thailand ranks high in time spend viewing YouTube.
• The audience fragmentation, following years of a virtual FTA TV duopoly, is creating huge trading and content opportunities. Thailand is one of the fastest-growing media markets in the region. Those looking for a rewarding and dynamic career in media have no better place to be than Thailand.
• GroupM is an equal opportunity employer. We view everyone as an individual and we understand that inclusion is more than just diversity - it s about belonging. We celebrate the fact that everyone is unique and that s what makes us so good at what we do. We pride ourselves on being a company that embraces difference and truly represents the global clients we work with.

ทักษะ:

Software Development, Scrum, Automation

ประเภทงาน:

งานประจำ

• Design and develop applications for the iOS platform.
• Contribute to all aspects of the software development lifecycle.
• Participate in Agile/Scrum software development process.
• Collaborate with teams to analyze, design, and ship new features.
• Fix software defects and improve applications performance.
• Implement unit and automation test, security best practice, and API integrations in the applications.
• Continuously learn and implement new technologies to maximize application performance.
• Proficient with Swift, Objective-C, and iOS frameworks such as Core Data, Cocoapods, Carthage, and Manual.
• Experience with Alamofire, SwifyJson, ObjectMapper, CryptoSwift, Grand Central Dispatch.
• Experience with Reactive programming RxSwift, RxCocoa, and Concurrency concept.
• Proficient understanding of design patterns such as MVC, MVP, MVVM, and VIPER Patterns.
• Familiar with CI/CD process, Jenkins, Fastlane, and Xcode Server.
• Experience with unit and automate test.
• Knowledge of analytics tools such as Firebase, Google Analytics, Crashlytics.
• Experience with code versioning tools such as Git, SourceTree.
• Understanding of security algorithms such as SHA1, SHA256, encryption, and decryption.
• Experience with developing SDK and OAuth concept a big plus.
• Location: True Digital Park, Punnawithi.

ทักษะ:

Research, Data Analysis, Problem Solving

ประเภทงาน:

งานประจำ

• Enable omni-channel customer journey and experience design.
• Operating model based on analytics practices.
• Digital enablement and platform implementation.
• You will support Deloitte and client s business growth by:Identifying client s business requirements / overall strategy and vision, and any opportunities for efficiencies in existing process / service design.
• Undertaking extensive desktop and on-the-ground research on various aspects relevant to our current and potential clients viz. market sizing, competitive benchmarking across channels, products, customer experience, digital capabilities, customer servicing, etc.
• Developing draft pitch proposals including storyboarding, data analysis, opportunity sizing, proposed team composition, project costing and fee estimates.
• Using tech, human-centered design thinking and innovative approaches to solve business needs.
• Participating in team problem solving efforts and offer ideas to solve client issues.
• Facilitating client workshops to complete current state assessment and providing basis for future state design and rollout planning.
• Conducting relevant research, data analysis, and create reports.
• Maintaining responsibility for quality, completion, and accuracy of work products.
• Assessing restructuring operating models, organizational structures, and business processes to streamline core operations service delivery.
• Assisting in proposal development, as requested.
• Actively expanding consulting skills and professional development through training courses, mentoring, and daily interaction with Deloitte colleagues and clients.
• As a Manager you will:Focus on the delivery of client work and lead a cross-service line team for major deliverables and projects. Take charge of fulfilling the responsivities and deliverables planned for project working closely with the team and client to obtain sign-off and ensure client satisfaction as a result, build trusted relationships with the client.
• You will be continually encouraged to devise innovative solutions to help our clients maximise the value of their data assets by helping them transform data into insight. You will also assume real ownership of projects and key stakeholders at executive levels as you help them execute their strategy to build an efficient analytics organisation, processes and supporting technology.
• In addition, Managers should support practice development and business management activities to help grow the Analytics & Cognitive practice as well as aligning to an industry to exploit depth of knowledge and professional experience.
• Working as a key business partner to high profile clients, you'll have the chance to develop your expertise from strategy to execution, as well as in delivery and implementation. As a Manager in the FS Data and AI, you'll be able to put your own creative ideas into practice as you take ownership of deliverables and resources on transformation projects and hone your commercial skills.
• Design and develop tailor-made solutions, strengthen presence of AI&D Practice for in the SEA market, identify revenue-generating opportunities, and get involved in proposal writing, pitch presentations, etc.
• Your role as a leaderAt Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Managers across our Firm are expected to:Develop diverse, high-performing people and teams through new and meaningful development opportunities.
• Collaborate effectively to build productive relationships and networks.
• Understand and lead the execution of key objectives and priorities for internal as well as external stakeholders.
• Align your team to key objectives as well as set clear priorities and direction.
• Make informed decisions that positively impact the sustainable financial performance and enhance the quality of outcomes.
• Influence stakeholders, teams, and individuals positively - leading by example and providing equal opportunities for our people to grow, develop and succeed.
• Lead with integrity and make a strong positive impact by energising others, valuing individual differences, recognising contributions, and inspiring self-belief.
• Deliver superior value and high-quality results to stakeholders while driving high performance from people across Deloitte.
• Apply their understanding of disruptive trends and competitor activity to recommend changes, in line with leading practices.
• Requirements:Bachelor or Masters' Degree in any relevant discipline.
• Minimum 8-10 years of working experience in the Consulting Industry within Financial Services clientele.
• It would be great to haveBusiness problem solving in the banking or Insurance domain, using analytical tools i.e Machine Learning libraries, LLM (Large Language Model) such as Open AI, Anthrophyic, Google Bard.
• Hands-on Experience in finding Data Science solutions, developing AI Models using ML Workbench (i.e PIVOTAL Cloudera, Ms Azure, NVDIA Omniverse).
• Good foundation in Data Management, Data Governance (AI Model, ML Ops).
• Banking domain analytics within mass market;wealth or private banking sales & customer 360 analytics.
• fraud-compliance-risk analytics.
• operational productivity & capacity analytics.
• human resource analytics or various advanced analytical frameworks for SME / commercial banking.
• transaction banking, payments, etc..
• Insurance Domain within Bancassurance, Life, General Insurance domain such as agency sales & distribution, customer acquisition & servicing analytics, claims processing, fraud, etc.
• It would be nice should you haveGood foundation in programming language i.e (at least one) R, Python, Scala.
• Certification with relevant to Cloud / Machine Learning / Artificial Intelligence.
• Regional Financial Services Experience, across SEA.
• Strong client relationship skills, including an ability to independently engage with clients.
• An appreciation of the consulting lifestyle and ability to travel (both locally and abroad) is a pre-requisite to fit our short-term and long-term project assignments.
• Additionally:Lead or Manage:Opportunity Management - RFI / RFP Process, Solution Designing, Budgeting and Account Planning.
• Delivery Management - Project Management, Manage Project Team, Project P&L.
• Leadership - Mentor and coach team members, fostering their professional growth and development within the insurance consulting domain.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.Requisition ID: 105649In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Research, Market Research, Excel, English

ประเภทงาน:

งานประจำ

• Actively drive issue-based analyses, deliver proactive insights, and build effective analytical presentations and consultative storytelling to clients with insightful and actionable recommendations.
• Deliver three aspects of actionable insights KPIs: (1) quality of data, (2) quality of analysis and (3) quality of delivery (including. reporting and presentation).
• Build strong relationships with clients through an empathetic understanding of clients needs/requirements and consultative advisory.
• Interacting with prospective/existing clients and help with identifying new business opportunities by providing solutions to their business problems.
• Assist in driving continuous innovation and leverage new techniques and technologies into the field of qualitative research.
• A LITTLE BIT ABOUT YOU.
• Business acumen and well organized, including planning and focus to deliver the financial outcome.
• Highly motivated, self-directed, pro-active & possess a driven personality capable of working within tight deadlines or an agile environment. Ability to manage multiple projects simultaneously while maintaining a strong client service orientation.
• Qualifications Bachelor s Degree or equivalent, Master s Degree desirable; relevant Degree in sociology, anthropology, psychology or business is desirable.
• Having at least 3-5 years working in Qualitative Market Research, Ethnographic Market Research or related jobs.
• Diverse practical experience in different qualitative research methods (e.g. focus groups, ethnography, in-depth/expert interviews, grounded theory, projective techniques, etc.).
• Strong research discipline and exposure, with the ability to synergize both quantitative and qualitative research.
• Experienced in helping to manage a team.
• Excellent client management and relationship building skills and ability to converse with mid-level stakeholders in client organization.
• Proficient in Microsoft Excel & Powerpoint and Google Spreadsheet & Slides.
• Excellent written & verbal communication skills in Thai and and English.
• Additional Information
• Our Benefits.
• Flexible working environment.
• Volunteer time off.
• LinkedIn Learning.
• Employee-Assistance-Program (EAP).
• About NIQ.
• NIQ is the world s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights delivered with advanced analytics through state-of-the-art platforms NIQ delivers the Full View&trade. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world s population.
• For more information, visit NIQ.com.
• Want to keep up with our latest updates?.
• Follow us on: LinkedIn | Instagram | Twitter | Facebook.
• Our commitment to Diversity, Equity, and Inclusion.
• NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion.

ทักษะ:

SQL, Data Warehousing, ETL, English

ประเภทงาน:

งานประจำ

• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Retrieve, prepare, and process a rich data variety of data sources.
• Apply data quality, cleaning and semantic inference techniques to maintain high data quality.
• Explore data sources to better understand the availability and quality/integrity of data.
• Gain fluency in AI/ML techniques.
• Experience with relational database systems with expertise in SQL.
• Experience in data management, data warehousing or unstructured data environments.
• Experience with data integration or ETL management tools such as Talend, Apache Airflow, AWS Glue, Google DataFlow or similar.
• Experience programming in Python, Java or other equivalent is a plus.
• Experience with Business Intelligence tools and platforms is a plus, e.g. Tableau, QlikView, Google DataStudio, Google Analytics or similar.
• Experience with Agile methodology and Extreme Programming is a plus.
• Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment.
• Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership.
• Good communication in English.

ทักษะ:

Big Data, Java, Python

ประเภทงาน:

งานประจำ

• Background in programming, databases and/or big data technologies OR.
• BS/MS in software engineering, computer science, economics or other engineering fields.
• Partner with Data Architect and Data Integration Engineer to enhance/maintain optimal data pipeline architecture aligned to published standards.
• Assemble medium, complex data sets that meet functional /non-functional business requirements.
• Design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction transformation, and loading of data from a wide variety of data sources big data technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including Domain leads, and Teams to assist with data-related technical issues and support their data infrastructure needs.
• Ensure technology footprint adheres to data security policies and procedures related to encryption, obfuscation and role based access.
• Create data tools for analytics and data scientist team members.
• Functional Competency.
• Knowledge of data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Defining data retention policies, monitoring performance and advising any necessary infrastructure changes based on functional and non-functional requirements.
• In depth knowledge of data engineering discipline.
• Extensive experience working with Big Data tools and building data solutions for advanced analytics.
• Minimum of 5+ years' hands-on experience with a strong data background.
• Solid programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Hadoop ecosystem, Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).
• Practical knowledge across data extraction and transformation tools - traditional ETL tools (e.g. Informatica, Ab Initio, Altryx) as well as more recent big data tools.
• Educational.
• Background in programming, databases and/or big data technologies OR.
• BS/MS in software engineering, computer science, economics or other engineering fields.
• Partner with Data Architect and Data Integration Engineer to enhance/maintain optimal data pipeline architecture aligned to published standards.
• Assemble medium, complex data sets that meet functional /non-functional business requirements.
• Design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction transformation, and loading of data from a wide variety of data sources big data technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including Domain leads, and Teams to assist with data-related technical issues and support their data infrastructure needs.
• Ensure technology footprint adheres to data security policies and procedures related to encryption, obfuscation and role based access.
• Create data tools for analytics and data scientist team members.
• Functional Competency.
• Knowledge of data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Defining data retention policies, monitoring performance and advising any necessary infrastructure changes based on functional and non-functional requirements.
• In depth knowledge of data engineering discipline.
• Extensive experience working with Big Data tools and building data solutions for advanced analytics.
• Minimum of 5+ years' hands-on experience with a strong data background.
• Solid programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Hadoop ecosystem, Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).
• Practical knowledge across data extraction and transformation tools - traditional ETL tools (e.g. Informatica, Ab Initio, Altryx) as well as more recent big data tools.

ทักษะ:

Automation, Product Owner, Python

ประเภทงาน:

งานประจำ

• The candidate will be responsible for design, and implement new solutions for complex data ingestions from multiple sources to enterprise data products with focus on automation, performance, resilience and scalability, etc.
• Partner with Lead Architect, Data Product Manager (Product Owner) and Lead Data Integration Engineer to create strategic solutions introducing new technologies.
• Work with stakeholders including Management, Domain leads, and Teams to assist with data-related technical issues and support their data infrastructure needs.
• Strong development & programming experience in Informatica (IICS), Python, ADF, Azure Synapse, snowflake, Cosmos and Databricks.
• Solid understanding of databases, real-time integration patterns and ETL/ELT best practices.
• Defining data retention policies, monitoring performance and advising any necessary infrastructure changes based on functional and non-functional requirements.
• Responsible for ensuring enterprise data policies, best practices, standards and processes are followed.
• Write up and maintain technical specifications, design documents and process flow.
• Mentor a team of onshore and offshore development resources to analyze, design, construct and test software development projects focused on analytics and data integration.
• Elaborate user stories for technical team and ensure that the team understands the deliverables.
• Effectively communicate, coordinate & collaborate with business, IT architecture and data teams across multi-functional areas to complete deliverables.
• Provide direction to the Agile development team and stakeholders throughout the project.
• Assist in Data Architecture design, tool selection and data flows analysis.
• Work with large amounts of data, interpret data, analyze results, perform gap analysis and provide ongoing reports.
• Handle ad-hoc analysis & report generation requests from the business.
• Respond to data related inquiries to support business and technical teams.
• 6+years of proven working experience in ETL methodologies, Data integration and data migration. Informatica IICS, Databricks/Spark & Python hands-on development skills a must.
• Clear hands-on experience with database systems - SQL server, Oracle, Azure Synapse, Snowflake and Cosmos, Cloud technologies (e.g., AWS, Azure, Google), and NoSQL databases (e.g., Cosmos, MongoDB, DynamoDB).
• Extensive experience developing complex solutions focused on data ecosystem solutions.
• Extensive knowledge of data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• In depth knowledge of data engineering and architecture disciplines.
• Extensive experience working with Big Data tools and building data solutions for advanced analytics.
• Solid understanding of P&C Insurance data.
• Technical expertise regarding data architecture, models and database design development.
• Strong knowledge of and experience with Java, SQL, XML s, Python, ETL frameworks and Databricks.
• Working knowledge/familiarity with Git version control.
• Strong Knowledge of analyzing datasets using Excel.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Proficient in learning new technologies with the ability to quickly understand capabilities and work with others to guide these into development.
• Good communication and presentation skills.
• Solid problem solving, decision making and analytical skills.
• Knowledge & working experience with Duck creek is an added plus.
• Knowledge & working experience with Insurity Policy Decisions and/or IEV is an added plus.
• Experience with JIRA.
• Experience being part of high-performance agile teams in a fast-paced environment.
• Must understand the system scope and project objectives to achieve project needs through matrix management and collaboration with other enterprise teams.
• Proven ability to produce results in the analysis, design, testing and deployment of applications.
• Strong team emphasis and relationship building skills; partners well with business and other IT/Data areas.
• Strong coaching / mentoring skills.
• Applies technical knowledge to determine solutions and solve complex problems.
• Ability to be proactive, self-motivated, detail-oriented, creative, inquisitive and persistent.
• Excellent communication and negotiation skills.
• Ability to organize, plan and implement work assignments, juggle competing demands and work under pressure of frequent and tight deadlines.
• The candidate will be responsible for design, and implement new solutions for complex data ingestions from multiple sources to enterprise data products with focus on automation, performance, resilience and scalability, etc.
• Partner with Lead Architect, Data Product Manager (Product Owner) and Lead Data Integration Engineer to create strategic solutions introducing new technologies.
• Work with stakeholders including Management, Domain leads, and Teams to assist with data-related technical issues and support their data infrastructure needs.
• Strong development & programming experience in Informatica (IICS), Python, ADF, Azure Synapse, snowflake, Cosmos and Databricks.
• Solid understanding of databases, real-time integration patterns and ETL/ELT best practices.
• Defining data retention policies, monitoring performance and advising any necessary infrastructure changes based on functional and non-functional requirements.
• Responsible for ensuring enterprise data policies, best practices, standards and processes are followed.
• Write up and maintain technical specifications, design documents and process flow.
• Mentor a team of onshore and offshore development resources to analyze, design, construct and test software development projects focused on analytics and data integration.
• Elaborate user stories for technical team and ensure that the team understands the deliverables.
• Effectively communicate, coordinate & collaborate with business, IT architecture and data teams across multi-functional areas to complete deliverables.
• Provide direction to the Agile development team and stakeholders throughout the project.
• Assist in Data Architecture design, tool selection and data flows analysis.
• Work with large amounts of data, interpret data, analyze results, perform gap analysis and provide ongoing reports.
• Handle ad-hoc analysis & report generation requests from the business.
• Respond to data related inquiries to support business and technical teams.
• 6+years of proven working experience in ETL methodologies, Data integration and data migration. Informatica IICS, Databricks/Spark & Python hands-on development skills a must.
• Clear hands-on experience with database systems - SQL server, Oracle, Azure Synapse, Snowflake and Cosmos, Cloud technologies (e.g., AWS, Azure, Google), and NoSQL databases (e.g., Cosmos, MongoDB, DynamoDB).
• Extensive experience developing complex solutions focused on data ecosystem solutions.
• Extensive knowledge of data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• In depth knowledge of data engineering and architecture disciplines.
• Extensive experience working with Big Data tools and building data solutions for advanced analytics.
• Solid understanding of P&C Insurance data.
• Technical expertise regarding data architecture, models and database design development.
• Strong knowledge of and experience with Java, SQL, XML s, Python, ETL frameworks and Databricks.
• Working knowledge/familiarity with Git version control.
• Strong Knowledge of analyzing datasets using Excel.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Proficient in learning new technologies with the ability to quickly understand capabilities and work with others to guide these into development.
• Good communication and presentation skills.
• Solid problem solving, decision making and analytical skills.
• Knowledge & working experience with Duck creek is an added plus.
• Knowledge & working experience with Insurity Policy Decisions and/or IEV is an added plus.
• Experience with JIRA.
• Experience being part of high-performance agile teams in a fast-paced environment.
• Must understand the system scope and project objectives to achieve project needs through matrix management and collaboration with other enterprise teams.
• Proven ability to produce results in the analysis, design, testing and deployment of applications.
• Strong team emphasis and relationship building skills; partners well with business and other IT/Data areas.
• Strong coaching / mentoring skills.
• Applies technical knowledge to determine solutions and solve complex problems.
• Ability to be proactive, self-motivated, detail-oriented, creative, inquisitive and persistent.
• Excellent communication and negotiation skills.
• Ability to organize, plan and implement work assignments, juggle competing demands and work under pressure of frequent and tight deadlines.

ทักษะ:

SQL, Research, Java

ประเภทงาน:

งานประจำ

• Background in SQL, databases and/or data science OR.
• BS/MS in software engineering, computer science, mathematics.
• Document data sources in enterprise data catalog with metadata, lineage and classification information.
• Develop aggregations and algorithms needed for reporting and analytics with low level complexity.
• Implement minor changes to existing data visualization applications, reporting dashboards.
• Document modifications to reporting applications based on modifications applied.
• Comprehend and adhere to all data security policies and procedures.
• Create data tools for analytics and data scientist team members.
• Build analytical tools to provide actionable insights into key business KPIs, etc.
• Work with data engineers to optimize pipelines for scalability and data delivery.
• Functional Competency.
• Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Experience with data tools for visualizations, analytics and reporting.
• Strong analytical skills with ability to research, assess and develop observations/findings.
• Ability to communicate findings, approaches to cross functional teams and stakeholders.
• 3+ years' hands-on experience with a data science background.
• Some programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).
• Educational.
• Background in SQL, databases and/or data science OR.
• BS/MS in software engineering, computer science, mathematics.
• Document data sources in enterprise data catalog with metadata, lineage and classification information.
• Develop aggregations and algorithms needed for reporting and analytics with low level complexity.
• Implement minor changes to existing data visualization applications, reporting dashboards.
• Document modifications to reporting applications based on modifications applied.
• Comprehend and adhere to all data security policies and procedures.
• Create data tools for analytics and data scientist team members.
• Build analytical tools to provide actionable insights into key business KPIs, etc.
• Work with data engineers to optimize pipelines for scalability and data delivery.
• Functional Competency.
• Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Experience with data tools for visualizations, analytics and reporting.
• Strong analytical skills with ability to research, assess and develop observations/findings.
• Ability to communicate findings, approaches to cross functional teams and stakeholders.
• 3+ years' hands-on experience with a data science background.
• Some programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).