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:

Sales, Business Development, English

ประเภทงาน:

งานประจำ

• Bachelor's degree or equivalent practical experience.
• 10 years of experience in a sales role in software sales.
• Experience with security solutions or security software product.
• Experience selling to enterprise sector.
• Preferred qualifications:Experience in promoting cyber security solution and cloud-based security solutions.
• Understanding of broad range of security and networking technologies.
• Ability to work with sales engineers and customer technical leads to inventory existing software, define migration plans, and build business cases for migrations.
• Ability to provide accurate forecasting to the reporting manager regularly.
• Excellent leadership, influencing, and relationship development skills.
• Ability to communicate in Thai and English fluently in order to engage and support customers.
• As a Security Sales Specialist, you will help grow cybersecurity business by building and expanding relationships with customers. You will work with customers to deliver business value, demonstrate product functionality, and provide a comprehensive overview of key business use cases. You'll lead day-to-day relationships with external customer stakeholders, leading with empathy, while identifying innovative ways to multiply impact. In this role, you will have shared responsibility to uphold and grow a team culture. You will partner with internal Google Cloud Platform Sales teams to grow their security businesses and drive overall value for Google Cloud Platform.
• Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. 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.
• ResponsibilitiesBe responsible for new business development via prospecting, qualifying, promoting, and closing software and hardware solutions, services, and products.
• Create and manage the channel partner network for products under the distribution product portfolio together with the Regional Channel Sales Manager.
• Provide account management to an existing territory and be responsible for quarterly and annual business goals.
• Manage client relationships through all phases of the business cycle providing a consultative solutions based sales process.
• Develop expertise in the entire Google Cloud's security portfolio (including Mandiant solutions and services) and be able to articulate product features, use cases, and differentiate them from the competition.
• 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:

Business Development, Risk Management, English, Thai

ประเภทงาน:

งานประจำ

• เป็นศูนย์กลางพัฒนาและติดตามการใช้งานระบบบริหารสินเชื่อ รวมทั้งกำหนดสิทธิ์และระดับการเข้าใช้งานระบบ.
• ประสานงานระหว่างผู้ใช้ และหน่วยงาน IT เพื่อให้การสนับสนุนทุกด้านเกี่ยวกับการใช้งานระบบตลอดจนการปรับปรุงแก้ไขระบบงาน.
• กำหนด และรวบรวมระเบียบการปฏิบัติงานที่เกี่ยวข้อง เพื่ออ้างอิงและปรับปรุงแก้ไขให้เป็นปัจจุบันอยู่เสมอ.
• ควบคุมดูแลผู้ใช้ระบบ และกำหนดมาตรฐานการบันทึกข้อมูลในระบบงานให้ถูกต้อง.
• บริหารข้อมูลที่มีอยู่ในระบบเพื่อนำมาใช้ในเชิงวิเคราะห์ และสรุปผลงาน/รายงานต่างๆ ที่เกี่ยวข้องให้กับธนาคาร.
• งานบริหารจัดการข้อมูลความเสี่ยงด้านสินเชื่อ.
• สร้างและดูแลจัดการ Data Pipeline Architecture ให้เกิดประโยชน์สูงสุดให้ Requirement IT.
• รวบรวมข้อมูลจากระบบฐานข้อมูลของธนาคารที่เกี่ยวข้องและระบบงานต่างๆเพื่อจัดทำ และดูแล Datamart ให้มีข้อมูลที่เป็นปัจจุบัน และสมบูรณ์พร้อมใช้งาน เช่น ใช้ในการพัฒนา.
• ทดสอบและติดตามประสิทธิภาพแบบจำลอง และใช้ในการบริหารความเสี่ยงสินเชื่อธุรกิจ.
• ประมวลผลข้อมูลเพื่อให้ข้อมูลสามารถนำไปใช้ในการวิเคราะห์ความเสี่ยงด้านสินเชื่อและจัดทำรายงานส่งหน่วยงานอื่น.
• ติดตามและประเมินคุณภาพของข้อมูลความเสี่ยงด้านสินเชื่อรวมทั้งปรับปรุงคุณภาพของข้อมูลที่เกี่ยวข้องกับความเสี่ยงให้มีความถูกต้องน่าเชื่อถือ.
• ควบคุมดูแลการใช้ข้อมูล และสิทธิ์การเข้าถึงการใช้ข้อมูล (เฉพาะระบบงานและ Datamart ที่ฝ่ายฯ เป็น owner).
• จัดทำคู่มือมาตรฐานการปฏิบัติงาน (SOP) และคู่มือการปฏิบัติงาน (User Manual) ของหน่วยงาน.
• ปฏิบัติหน้าที่ด้านการพนักงน และฝึกอบรม งบประมาณ ค่าใช้จ่าย สารบรรณ และรวบรวมแผนการดำเนินงานของหน่วยงาน.
• ปฏิบัติหน้าที่อื่นใดตามที่ได้รับมอบหมาย.
• มีประสบการณ์ในการในงานด้าน Project Management.
• มีความรู้และความเข้าใจด้านสินเชื่อธุรกิจขนาดใหญ่.
• มีความรู้ที่จำเป็นต่อ model development และ maintenance ได้แก่.
• ความรู้เกี่ยวกับการพัฒนาแบบจำลองและสถิติ (Modelling, Statistics) การวิเคราะห์ข้อมูลขนาดใหญ่ (Data Analytics, Big Data) และ computer programming (e.g. Data Science) และมีความรู้อย่างน้อยอย่างใดอย่างหนึ่ง ต่อไปนี้ เช่น แบบจำลองความเสี่ยงด้านสินเชื่อ (Credit Risk Modelling, IFRS9, Basel, Credit Rating, Credit Pricing Model).
• การวิเคราะห์ข้อมูลด้านความเสี่ยงสินเชื่อ (Credit Risk Analysis) ความรู้ทางด้านเศรษฐศาสตร์การเงินและเศรษฐกิจมหภาค และการจัดการข้อมูล (MIS, Data Engineering).
• มีวุฒิการศึกษาระดับปริญญาโทขึ้นไป ด้าน Statistics, Econometrics, Data Science, Data Analytics, Computer Science, Computer Engineering, Operational Research, Risk Analytics/Modelling, Mathematical Finance, Financial Engineering, Economics, MIS หรือสาขาที่เกี่ยวข้อง.
• ทักษะความสามารถพิเศษอื่น ๆ.
• มีทักษะภาษาอังกฤษในระดับดีหรือดีมาก.
• มีทักษะการทำงานเป็นทีมและทักษะการสื่อสาร รวมถึงการนำเสนอผลงานที่ดี.
• มีทักษะทางคอมพิวเตอร์ สามารถใช้คอมพิวเตอร์ได้เป็นอย่างดี เช่น โปรแกรม SAS, SQL, Machine Learning, Deep Learning, MS เชิงลึก และ Python เป็นต้น และสามารถสร้างและบริหารจัดการฐานข้อมูลได้อย่างมีประสิทธิภาพ.
• 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:

Power BI, Statistics, Python

ประเภทงาน:

งานประจำ

• Develop and implement key performance indicators (KPIs) to measure campaign effectiveness, in-app conversion rates, and product performance.
• Analyze customer behavior patterns to identify opportunities for product recommendations and cross-selling.
• Build and maintain data dashboards and reports using Power BI to visualize and communicate insights to stakeholders.
• Collaborate with marketing and commercial teams to optimize campaigns and drive business growth.
• Analyze in-app user behavior to optimize user experience and conversion rates and identify opportunities for product placement and cross-selling within the app.
• Develop and implement predictive models for sales forecasting, campaign performance, customer churn, and customer lifetime value.
• Build and deploy machine learning models for recommendation systems, personalized product recommendations, and customer segmentation.
• Conduct A/B testing and experimentation to optimize website and in-app experiences.
• Collect, clean, and validate large datasets from various data sources for e-commerce platform and marketing channels.
• Master s degree or PhD in Statistics, Computer Science, Mathematics, or a related field.
• Strong programming proficiency in Python or R.
• Expertise in machine learning algorithms and techniques (e.g., regression, classification, clustering, time series analysis).
• Experience with data mining and statistical modeling tools.
• Proficiency in data visualization tools (e.g., Power BI, Tableau).
• Strong problem-solving and critical thinking skills.
• Excellent communication and presentation skills.
• Experience in the e-commerce industry.
• Knowledge of SQL and database management systems.
• Experience with cloud-based data platforms (e.g., AWS, GCP, Azure).
• Understanding of A/B testing methodologies.
• Experience with mobile app analytics tools like Mixpanel.

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:

SQL, Python, SAS

ประเภทงาน:

งานประจำ

• Manage and plan the data direction and strategy for business need.
• Drive successful of data insight initiatives and effective collaboration with stakeholders.
• Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.
• Create reports and dashboards based on data mining, evaluation, analysis, and visualization.
• Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.
• Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement.
• 5 years of experience as a data analyst or business data analyst.
• Advanced knowledge in SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience with data studio, Big Query,model,generative AI.
• Experience with R, Python, SAS, SPSS, other analytic tools.
• Experience supporting and working with cross-functional teams in a dynamic environment.

ประสบการณ์:

6 ปีขึ้นไป

ประเภทงาน:

งานประจำ

• Bachelor's degree or equivalent practical experience.
• 6 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with cloud infrastructure engineering, on-premise infrastructure engineering, virtualization, or containerization platforms.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
• Preferred qualifications:Experience in migrating applications and services to cloud platforms.
• Experience with networking concepts such as software-defined networking, routing, virtual private networks, load balancers and firewalls.
• Experience in, or supporting Banking and Financial Services clients.
• Experience with security concepts such as encryption, identity management, access control, attack vectors, and pen testing.
• Experience prospecting, building, and maintaining customer relationships from scratch.
• The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
• As a Customer Solutions Consultant, you will partner with technical Sales teams to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud.You will be a part of a diverse team of fellow Googlers working in an environment of respect and inclusion where we promote equal opportunities to succeed.
• Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. 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.
• ResponsibilitiesWork with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
• Share in-depth enterprise infrastructure modernization expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
• Guide customers through assessments of existing legacy application environment(s) and provide recommendations on a prioritization roadmap for infrastruction and application modernization.
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud.
• 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.

ประสบการณ์:

10 ปีขึ้นไป

ทักษะ:

Industry trends, Compliance, Statistics

ประเภทงาน:

งานประจำ

• Develop and execute a comprehensive analytics strategy tailored to the retail sector, integrating our data platform layer to improve sales, customer retention, and operational efficiency.
• Lead and mentor a team of analysts at CP Axtra, fostering a culture of data-driven decision-making and continuous improvement.
• Stay abreast of industry trends and technological advancements in retail analytics and data platforms to maintain a competitive edge.
• Implement and oversee robust data governance practices specific to retail, ensuring data accuracy, integrity, and compliance with regulatory standards within our data platform layer.
• Manage seamless integration of data from multiple sources including POS systems, CRM platforms, online transactions, and third-party data providers into our data platform at CP Axtra.
• Design and develop advanced analytical models and algorithms leveraging our data platform layer to derive actionable insights related to customer behavior, product performance, and market trends.
• Conduct in-depth analysis using statistical methods and machine learning techniques to optimize pricing strategies, inventory management, and promotional campaigns.
• Collaborate closely with retail operations, marketing, and sales teams at CPaxtra to understand business objectives and provide analytical support for strategic decision-making, leveraging insights from the integrated data platform.
• Identify opportunities to enhance customer segmentation, personalized marketing efforts, and overall customer satisfaction through data-driven recommendations.
• Define and monitor key performance indicators (KPIs) related to retail metrics such as sales conversion rates, basket analysis, and customer lifetime value, utilizing data from our integrated platform at CPaxtra.
• Continuously assess and optimize business processes based on data insights to drive revenue growth and operational efficiency.
• Present complex analytical findings and recommendations derived from our data platform in a clear and compelling manner to senior leadership and stakeholders at CP Axtra.
• Collaborate with cross-functional teams to implement data-driven solutions and initiatives that align with organizational goals and leverage our integrated data platform layer effectively.
• Bachelor s degree in Statistics, Mathematics, Economics, Computer Science, or a related field (Master s or PhD preferred).
• 10+ years of progressive experience in analytics, data science, or business intelligence within the retail industry, with a strong focus on data platform integration.
• Experience with cloud-based data platforms and big data technologies.
• Proficiency in statistical analysis tools (e.g., Python, R), database querying languages (e.g., SQL), and data visualization software (e.g., Tableau).
• Strong understanding of retail operations, including inventory management, merchandising strategies, and customer journey mapping, coupled with experience in leveraging integrated data platforms.
• Excellent leadership skills with a proven ability to manage and inspire a team of analysts in a dynamic and fast-paced environment.
• Strategic thinking and problem-solving skills with a focus on driving business value.
• Strong understanding of recommendation/personalization algorithms and data processing technologies.
• 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. .

ทักษะ:

Sales, Business Development, Legal

ประเภทงาน:

งานประจำ

• Bachelor's degree or equivalent practical experience.
• 10 years of experience in Telecommunications 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 Telecommunications (Telco) 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:

Swift, Firebase, Google Analytics

ประเภทงาน:

งานประจำ

• Develop and enhance iOS applications using the latest Swift and iOS SDKs.
• Engage in code reviews, pair programming, design meetings, and brainstorming sessions.
• Optimize app performance for smooth UX, low memory usage, and battery efficiency.
• Work within a cross-functional agile team to meet project goals.
• Utilize unit testing to ensure code reliability and functionality.
• Collaborate on the continuous improvement of the development process and CI pipeline.
• Mentor junior developers and contribute to the team s knowledge-sharing.
• Solid understanding of the iOS SDK, UIKit, GCD, and Auto Layout.
• Proficient with dependencies managers such as Cocoapods, SPM, and Manual.
• Strong background in unit testing, visual tests, automated tests, and memory management.
• Knowledge of analytics tools such as Firebase, Google Analytics, and Crashlytics.
• Knowledge of mobile security best practices.
• Comfortable with Git and version control best practices.
• Deep understanding of the native mobile app ecosystem.
• Passion for creating user-centric applications with elegant and intuitive interfaces.
• Experience with developing SDK, Kotlin multiplatform.
• 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. .

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).

ทักษะ:

Research, Google Analytics, Javascript, English

ประเภทงาน:

งานประจำ

• Engage with clients in various account management tasks like strategy alignment performance updates and reporting.
• Plan, develop and implement SEO strategies to improve website organic traffic and search ranking.
• Identify key SEO KPIs and monitor performance.
• Analyze content traffic, SEO metrics and the effectiveness of campaigns and messaging (through well-defined KPIs) to explore ways of improving content marketing ROI.
• Conduct keyword research for client websites.
• Implement on-page optimisation for content pieces.
• Coordinate with publishers and run backlink outreach campaigns.
• Conduct SEO competitive analysis.
• Support technical audit teams.
• Execute year-long SEO strategies for client projects.
• Keep up to date on latest SEO trends, strategies and algorithm updates.
• Manage content production process via content calendar and ability to manage content writers.
• Work with front-end developers & cross-marketing teams to implement SEO best practices properly.
• Be able to explain SEO best practices for site navigation, breadcrumbing, internal links (including anchor text optimization), and HTML sitemaps to client websites.
• Build framework for tracking, measurement and analysis of all SEO initiatives based on ROI.
• Enhance company s SEO SOP to offer industry-leading processes and SEO offerings.
• Team up-skilling and expansion.
• The Qualifications.
• Proven track record in managing SEO campaigns.
• At least 3 years of experience in SEO, either as an in-house team or at an agency.
• Strong knowledge of search engine optimization practices, including hands-on technical and content optimization, as well as link building.
• Good understanding of Google Analytics and Google Tag Manager.
• Expertise in using SEO tools, including Google Search Console, ScreamingFrog, Ahrefs, SEMRush.
• Working knowledge of HTML, CSS, and JavaScript.
• Fluency in Thai and English.
• Can-do attitude and open mindedness.
• Good work ethic.
• Strong teamwork and communication skills.
• Based in Thailand.
• The Benefits.
• 10 (15) days annual paid vacation.
• Flexible working hours.
• Hybrid working policy.
• Health & Life insurance.
• Free Lunch every Tuesday & Thursday.
• Learning Support.
• An office in the heart of Bangkok, connected with MRT Queen Sirikit station, with easy access to the highway.
• International work environment with over 25 different nationalities in the team.
• Working with a wide and interesting portfolio of clients in SEA and globally.
• Opportunity to visit events and conferences.
• Standard perks such as free drinks and snacks in the office, team activities, trips and great parties.
• ประสบการณ์ที่จำเป็น
• 3 ปี.
• ระดับตำแหน่งงาน
• ระดับหัวหน้างาน.
• สายงาน
• ไอที / เขียนโปรแกรม.
• การตลาด / โฆษณา.
• บริหารผลิตภัณฑ์ / บริหารแบรนด์สินค้า.
• ประเภทงาน
• งานประจำ.
• เงินเดือน
• สามารถต่อรองได้.

ทักษะ:

Data Analysis, SQL, Problem Solving, English

ประเภทงาน:

งานประจำ

• Working closely with business and technical domain experts to identify data requirements that are relevant for analytics and business intelligence.
• Implement data solutions and data comprehensiveness for data customers.
• Working closely with engineering to ensure data service solutions are ultimately delivered in a timely and cost effective manner.
• Retrieve and prepare data (automated if possible) to support business data analysis.
• Ensure adherence to the highest standards in data privacy protection and data governance.
• Bachelor s of Master s Degree in Computer Science, Computer Engineering, or related.
• Minimum of 1 Year with relational/non-relational database systems and good command in SQL.
• 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.
• Experience with cloud-based platforms such as AWS, Google Cloud platform or similar.
• Experience in data processing batch / real time / nearly realtime.
• Experience with data integration or ETL management tools such as AWS Glue, Databrick,or similar.
• Experience with web or software development with Java,Python or similar.
• Experience with Agile methodology is a plus.
• Good in communication and writing in English.
• Good interpersonal and communication skills.

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.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

SQL, Excel, Power BI, English

ประเภทงาน:

งานประจำ

• Responsible for preparing daily, weekly, and monthly client/internal reports & performance dashboards.
• Preparing ad-hoc reports & analyzing data for management that provide insight.
• Data extraction/upload from the client system to the CNX side.
• Partner with business & support strategic projects involving data mining & analytics.
• Optimize use of tools/technology to improve efficiency & effectiveness of the reporting group.
• Analytical skills that allow for the development of data-driven reports.
• Self-starter, ability to complete work with limited degree of supervision.
• Working Knowledge of SQL scripting, VBA Macros.
• Understanding of Call Center Operational Metrics.
• Thai national.
• Bachelor degree.
• 1-2 years of experience with detail data.
• Strong verbal & written communication in English.
• Experience on Advance Excel + Business Intelligence tools (Power BI, Tableau, Google Studio & other BI tools).
• Experience on reporting through CRM switch and tools viz. CMS (Avaya), OB Dialer, Genesys, IEX etc.
• Monthly KPI & Attendance incentives.
• Medical/Accident Insurance.
• Full time If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents.

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:

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, 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.

ประสบการณ์:

3 ปีขึ้นไป

ประเภทงาน:

งานประจำ

• Crimson Education is a Series C, global EdTech startup founded in 2013 with the idea that through personalized education and technology, we can transform students into the world leaders of tomorrow. We re now in 28 markets and have an ambitious team of 700 that s rapidly expanding across the globe. Our tech platform connects 3000 tutors/mentors to students aiming to achieve admission and scholarships to top universities or their dream career pathways.
• This is a full-time position, that can be worked remotely or in one of our many offi ...
• What are the main responsibilities for this role?.
• Content Development: Craft engaging ad copy based on thorough keyword research. Manage and optimize key campaign elements, including conversion rates and bidding strategies, to maximize impact.
• Data-Driven Analysis: Employ advanced analytics to dissect campaign data, evaluate keyword costs, and test the effectiveness of landing pages. Share insights on emerging opportunities and potential risks, fostering informed decision-making.
• Tracking and Accuracy: Guarantee the integrity of campaign data through meticulous tracking using Google Tag Manager and Analytics, ensuring actionable insights for continuous improvement.
• Market Intelligence: Keep abreast of the latest digital marketing trends and Google Ads best practices, applying this knowledge to keep our campaigns at the forefront of the industry.
• Team Empowerment: Mentor team members in Paid Search excellence, guiding their campaigns towards success and encouraging the adoption of innovative strategies.
• Revenue Growth: Collaboratively spearhead initiatives with the performance marketing team to boost revenue through strategic non-brand campaigns.
• Innovative Experimentation: Pilot and perfect new Paid Search strategies and channels, embracing experimentation to uncover growth avenues and expand our digital footprint.
• Optimize for Success: Improve campaign efficiency by conducting ad copy tests, carrying out continuous optimizations, and ensuring campaigns perform at their peak levels.
• What skills and experience are required?.
• Experience: Minimum 3-5 years in paid search (advanced Google and Bing skills required) and 3+ years using Google Analytics, Looker, or similar tools.
• Language Skills: Proficiency in written and spoken English.
• Track Record: Proven lead generation and audience growth capabilities.
• Team Player: Ability to collaborate effectively with diverse teams and regions.
• Proficiency with bid management platforms like Kenshoo, Marin, or Search Ads 360 and basic knowledge of Asana or similar tools.
• Why work for Crimson?.
• Rapidly growing start up, with a flexible working environment where you will be empowered to structure how you work.
• Limitless development and exposure - our internal promotions/role changes made up 33% of all recruitment last year.
• 1000 individual training budget per year, we love to Level Up (it s one of our core values)!.
• Psychologist on staff.
• Insightful fireside chats and workshops to help support our high-performing and ambitious team.
• Radical Candor is a feedback approach we live by.
• We re a global player with 28 markets (and growing) across the globe. Most roles have the option to work from one of our many offices or remotely!.
• If you're passionate about growing in a fast-paced, collaborative environment, and want to work with cutting-edge technology then we'd love to hear from you!.
• Please keep an eye on your spam/junk email folder for correspondence from the Team.

ประสบการณ์:

12 ปีขึ้นไป

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 Senior 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 expect our people to embrace and live our purpose and shared values, challenging themselves every day to identify issues that are most important to our clients, our people and the communities, and to make an impact that matters. In addition to living our purpose, Senior Managers across our Firm are expected to:Establish a strong leadership brand by inspiring others through passion, integrity, and appreciation.
• Create opportunities to drive impact by leveraging each person s strengths to build high performing teams.
• Apply deep knowledge of trends and activity to drive continuous improvement and build lasting relationships across a diverse network.
• Translate and communicate broader strategy into a convincing team vision and goals, in order to align the team and sets priorities to achieve objectives.
• Actively contribute to building the talent pipeline by championing a talent experience that attracts, develops and retains top talent and high performing teams.
• Enough about us, let's talk about youIf you are someone with:Bachelor or Masters' Degree in any relevant discipline.
• Minimum 12 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.
• Next Steps So what are you waiting for? Join the winning team now.
• 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.
• LI-VK Requisition ID: 105124In 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.