เงื่อนไขการค้นหา

ทักษะ:

Finance, Excel, Data Analysis, Analytical Thinking, English

ประเภทงาน:

งานประจำ

• Master s Degree in Finance, Business Administration, Economics, Engineering or related field.
• At least 4 years of experience in related field, especially in Wholesale Banking Strategy Analysis in Banking or financial institutions.
• Strong leadership, financial, conceptual, communication, details orientedand analytical skills.
• Good command of written and spoken English.
• Excellence in Advance Microsoft Excel and Presentation.
• 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:

Research, Google Analytics, Firebase, English

ประเภทงาน:

งานประจำ

• Work with management to prioritize business strategies and information needs.
• Design analysis report to track and monitor performance and validate Accuracy of Data.
• Provide sales, marketing, product, and customer analysis toward marketing calendar / business situation / campaign performance in various business measurements combining with consumers research for supporting business strategy.
• Understand, interpret data and provide business insight in order to support management to develop strategy / plan to support new business opportunity.
• Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
• Recommends actions for future developments & strategic business opportunities, as well as enhancements to operational policies.
• Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings.
• Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities.
• Leverage analytics and data science teams for actionable insights, algorithms, test designs and model validation.
• Present insights to executive leaders/ business partners to drive strategic improvement and support key business decisions.
• Educate cross-functional parties and build awareness on how to interpret the data and analytics to drive decision making that will move the business forward.
• At least 7 years working experience in related field (having working experience in retail or e-commerce is a plus).
• Basic knowledge of BI/ App analytics platforms such as Google Analytics, Firebase, AppsFlyer, Adobe Marketing Cloud, Tableau, Power BI, Data Studio, etc.
• SQL proficiency or equivalent.
• Good knowledge of computer literacy especially MS Excel and PowerPoint.
• Excellent command of English and presentation skill, Analytical and logical thinking is a must.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Automation, Data Analysis, ETL, English

ประเภทงาน:

งานประจำ

• Analyze and understand B2B2C product data, and all related data flows and structures.
• Understand business requirements, analyze large data sets for patterns, visualize results in dashboards and presentations, develop data mart solutions, improve efficiency by automating business processes and become subject matter expert for B2B2C product data.
• Oversee end-to-end ownership of data projects and independently collaborate with eng ...
• Design and implement data pipelines and data warehouse architecture; centralize, automate and scale data creation, processing, and storage; optimize data warehouse performance and reliability.
• Explore and experiment in application development, to challenge existing development processes and drive data automation and usage.
• Ensure data quality and consistency; provide clean data models, that are scalable and useful for different stakeholders.
• Use business intelligence, data science, and visualization tools to build data products.
• Develop, maintain, standardize and improve data documentation.
• What You'll Need to Succeed.
• Bachelor's or advanced degree in Engineering or Information Systems, or other related fields. Internal.
• At least 5 years of experience as an Analytics Engineer or Data Engineer, or experience in the Data Analysis area.
• Excellent communication skills (both verbal and written in English), with proven ability to convey complex messages clearly to stakeholders.
• Must have Hadoop experience at least 3 years.
• Experience in ETL tools, data warehouse design, data modeling, and visualization.
• Strong SQL command and the ability to write complex queries on big data sets.
• Strong programming skills (e.g., Python, Java).
• Quick learner, analytical problem-solving aptitude, effective prioritization, proactive, "can do" mentality and strong attention to detail.
• High sense of ownership and growth mindset.
• A self-motivated, ability to work well independently and as part of a team.
• It's Great If You Have.
• Intellectually curious, fast and self-driven learner on areas including new business models, analytical techniques, technical skills etc.
• Experience with large scale data platforms (Hadoop, Impala, Spark, Vertica).
• Experience with software development processes for Agile/Scrum and CI/CD utilizing technologies such as GIT, Jenkins, Terraform.
• Experience with object-oriented/functional script languages, such as Python, Scala, C++ etc.
• 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.

ทักษะ:

Data Analysis, Python, SQL

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:

SQL, Python, SAS, English

ประเภทงาน:

งานประจำ

• Operating and support internal audit strategies in IT and Engineering process.
• Due to professional internal audit standards for work with corporate stakeholders (auditee).
• Gather information and analyze data related to audit plan using any techniques.
• Analyze data, risks, and sufficiency of the internal control system in the organization s operations.
• Data investigation and monitoring.
• Presenting and writing the summary issue in the report and the data visualization.
• Bachelor or higher in Computer Engineering / Computer Science / IT or any related field.
• Experience at least 2 years in Data Analytics, Information Security, IT Auditor related field.
• Good understanding of data management such as data governance, data analytics, data security, etc.
• Good developing of SQL command, Python, Visual C+, and programming techniques.
• Experience in data visualization tools such as PowerBI, SAS Viya, Tableau etc.
• Skill of project management or team leader.
• Professional certificate of CISA (Certified Information Systems Auditor) or related certificates are advantage.
• Good command in English and Computer literacy.

ประเภทงาน:

ฝึกงาน

• TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
• Why Join Us.
• Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
• Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
• To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team.
• Status quo? Never. Courage? Always.
• At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
• Join us.
• In particular, the e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated.
• With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users.
• We are looking for talented individuals to join us for an internship in 2024. Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok.
• Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
• Assist Seller Management Analytics team in tracking weekly and monthly seller data, including but not limited to sellers' growth and performance, feature adoption rate and assortment completeness.
• Assist Seller Management Analytics team to analyze seller data and generate actionable insights to optimize seller performance.
• Collaborate with cross function team to support and maintain sellers' learning curve and experience.
• Any ad-hoc Seller management operational tasks or troubleshooting.
• Good with analytics; able to process large datasets and generate relevant and actionable insights - Proficient in excel (e.g. Excel formula, PivotTable).
• Strong verbal and written communication skills.
• Proficient in English.
• Actively enrolled university student, preferably with Bachelor degree in Business, Accounting, Mathematics, Computer Science, Finance or Economics.
• Preferred Qualifications.
• Able to learn quickly.
• Has an interest in e-commerce/ social-commerce.
• Able to present data effectively and easy for target audience to understand.
• TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
• By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy. If you have any questions, please reach out to us at [email protected].

ทักษะ:

eCommerce, Finance, Project Management, English

ประเภทงาน:

งานประจำ

• Ensure P&L performance alignment with company targets.
• Work closely with the finance team and business units on cost identification and profit optimization.
• Lead the development and execution of O2O business strategy, identifying key strategic initiatives to achieve
• financial goals.
• Collaborate with other business units to govern and deliver key strategic initiatives within the established
• timeline.
• Lead business analysis efforts, identify insights, and define actions for each function to optimize performance.
• Prepare and deliver business performance presentations, providing key findings and updates to senior
• management.
• Bachelor's degree in Business Administration, Marketing, or a related field (Master s degree preferred).
• Strong project management skills with experience using P&L management and project management tools.
• Ability to analyze data, identify trends, and make data driven recommendations.
• Excellent communication, presentation, and stakeholder management skills.
• Knowledge of digital marketing, customer engagement strategies, and retail operations.
• Ability to thrive in a dynamic, fast changing environment.
• Familiarity with Agile methodologies is a plus.
• Proficient in English.
• 2+ years of experience in strategy development, project management, or a related field, focusing on O2O or E commerce.
• Proven track record of leading cross functional projects in a fast paced environment.
• Experience in eCommerce, Retail Business, or FMCG is an advantage.
• 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:

2 ปีขึ้นไป

ทักษะ:

Automation, Finance, SQL, DevOps, Python

ประเภทงาน:

งานประจำ

• Automation of Analytics PipelinesDevelop and Maintain Automated Data Pipelines: Build and maintain robust data pipelines for reporting and analytics using cloud-native technologies such as AWS Glue, Redshift, and Lambda.
• Streamline Automation Frameworks: Ensure the high availability, performance, and cost-efficiency of data workflows by adhering to Zero Ops by Design principles, ensuring that data pipelines run seamlessly with minimal manual intervention.
• Timely, Accurate Reporting: Automate reporting processes to ensure consistent, accur ...
• Advanced Reporting & AnalyticsReporting Systems Design & Optimization: Design, implement, and optimize reporting systems that deliver actionable insights to key business stakeholders.
• BI Tools & Dashboards: Use visualization tools such as Tableau, Grafana, and AWS Quick Sight to create dynamic, self-service dashboards and reports, empowering teams to make data-driven decisions.
• Data Modeling and Schema ManagementDevelop Robust Data Models & Schemas: Design and maintain data models and schemas that support analytics, reporting, and operational needs.
• Single Version of Truth: Ensure consistency, accuracy, and reliability by establishing a "single version of truth," providing a consistent data framework across the organization.
• Quality-as-a-Service DevelopmentBuild Scalable Quality Solutions: Design and maintain "Data/AI Quality-as-a-Service" solutions to monitor data drift, analyze performance metrics, and detect data issues early in the process.
• Zero-Ops Design for Quality Monitoring: Ensure the high availability and performance of quality solutions while aligning with zero-ops design principles, minimizing operational overhead.
• Cross-Functional CollaborationCollaborate with Teams: Work closely with data scientists, analysts, and application developers to integrate data solutions seamlessly into their workflows, enabling advanced analytics and enhancing decision-making capabilities.
• Compliance & SecurityEnsure Data Security & Compliance: Uphold data security and privacy standards while ensuring all solutions comply with banking regulations and industry governance requirements.
• Governance Standards: Maintain rigorous governance practices for data access, privacy, and security across all automated reporting systems.
• Continuous ImprovementTechnology Advocacy: Stay informed about emerging trends in cloud data engineering, automation, and analytics. Advocate for the adoption of new technologies that can enhance system capabilities and maintain a competitive edge.
• Drive Continuous Improvement: Continuously refine processes and solutions to ensure they remain optimized for both performance and cost..
• Essential Skills & ExperienceBachelor's degree in Computer Science, Engineering, Business Information System or a related field.
• 2+ years of experience in data engineering, automation, or analytics engineering, focusing on reporting and business intelligence in the financial or banking sector.
• Expertise in cloud platforms (AWS preferred) and technologies such as AWSGlue, Redshift, Lambda, and S3.
• Experience with BI/Visualization tools (e.g., Tableau, Grafana, AWS QuickSight).
• Strong understanding of data modeling principles, ETL/ELT processes, and creating data schemas for reporting and analytics.
• Proficiency in SQL, Python, or other relevant programming languages.
• Familiarity with "Zero Ops by Design" principles and automation frameworks..
• Preferred SkillsKnowledge of financial regulations and their impact on data governance and reporting in the banking sector.
• Experience in building and maintaining "Data/AI Quality-as-a-Service" solutions for monitoring and ensuring data quality.
• Familiarity with DevOps practices and CI/CD pipelines for analytic engineering solutions.
• Experience in setting up and maintaining high-performing, scalable reporting systems.
• Understanding of advanced analytics and machine learning concepts.
• 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".

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Market Research, Research, Microsoft Office, English

ประเภทงาน:

งานประจำ

• Providing performance overview analysis and business issue analysis to Automotive and other Tech and Durable clients.
• Providing in-depth consulting services and delivering insights and analytics as well as thought leadership.
• Developing deep knowledge of NielsenIQ M.I Service (Tech & Durable Vertical) and Panel solutions and delivering value for clients.
• Working closely with the Consulting Lead and Customer Service to transform customer experience.
• Consulting clients to optimize the use of NielsenIQ Essentials.
• Developing and delivering business solutions for client performance tracking.
• Qualifications At least a Bachelor's Degree, preferably in business.
• Around 3 to 5 years of work experience, preferably within consumer or trade marketing, analytics and insights or market research.
• Knowledge of the Automotive industry but not mandatory, Tech and Durable Industries is also prefered.
• Knowledge of research techniques and methodologies would be an advantage.
• Excellent analytical skills.
• Excellent communication skills and presentation skills.
• An ability to work independently and in a team.
• Good interpersonal skills are a must.
• Fluent in spoken and written English.
• Competent in Microsoft Office (Excel, Powerpoint, Word, etc).
• 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:

Leadership Skill, Negotiation, Project Management

ประเภทงาน:

งานประจำ

• Responsible for analyzing and Interpreting Business Direction and trends, Market landscape and Customer insight into total Food & Non-Food category strategy and communicate to all related parties.
• Ensuring and improving of total category strategy. as tangible actions which aligning together with big picture through each category,.
• Ensuring and improving the execution the E2E Program under responsible category to deliver new initiatives, cost saving budget and drive business growth.
• Leading cross functional team with Category Merchandiser, Trade, Supply Chain and Technical team to deliver new business strategy and E2E development that can maximize benefits from the E2E value chain.
• Integrating the transformed data and insight to improve category performance/strategy creating a market leading customer proposition that drives sales and market share.
• Using analytical skills and modelling with category managers insight and requirement to provide category action plan and solution to category managers.
• Monitoring and ensuring all action plan to gauge the project status, troubleshooting until the result deliver and sustain.
• Seeking opportunities, initiate and conduct e2e development to improve fresh E2E cost.
• Developing and leading a high performing team, giving them the opportunities to be their best.
• Following our Business Code of Conduct and always acting with integrity and due diligence.
• Performing other business assignment as appropriate.
• Extensive experience in supply planning, forecasting & replenishment processes in a retail environment.
• Understanding of the E2E movement of product through to the shelf edge.
• Experience in working cross functionally to deliver step change projects.
• Experience in commercial and able to create/ analyze financial report.
• Strong leadership skill and High resilience.
• Commercial Acumen.
• Commercial System & Process.
• Negotiation, Persuasion & Influence.
• Project Management.
• New Product Development (Research & Development).
• Finance and Management Reporting.
• Continuous Improvement using a lean system approach.
• 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..

ประเภทงาน:

งานประจำ

• ฝ่ายแบบจำลองและวิเคราะห์ความเสี่ยงด้านสินเชื่อ.
• งานระบบบริหารสินเชื่อ (Loan Origination).
• เป็นศูนย์กลางพัฒนาและติดตามการใช้งานระบบบริหารสินเชื่อ รวมทั้งกำหนดสิทธิ์และระดับการเข้าใช้งานระบบ.
• ประสานงานระหว่างผู้ใช้ และหน่วยงาน IT เพื่อให้การสนับสนุนทุกด้านเกี่ยวกับการใช้งานระบบตลอดจนการปรับปรุงแก้ไขระบบงาน.
• กำหนด และรวบรวมระเบียบการปฏิบัติงานที่เกี่ยวข้อง เพื่ออ้างอิงและปรับปรุงแก้ไขให้เป็นปัจจุบันอยู่เสมอ.
• ควบคุมดูแลผู้ใช้ระบบ และกำหนดมาตรฐานการบันทึกข้อมูลในระบบงานให้ถูกต้อง.
• บริหารข้อมูลที่มีอยู่ในระบบเพื่อนำมาใช้ในเชิงวิเคราะห์ และสรุปผลงาน/รายงานต่างๆ ที่เกี่ยวข้องให้กับธนาคาร.
• งานบริหารจัดการข้อมูลความเสี่ยงด้านสินเชื่อ.
• สร้างและดูแลจัดการ Data Pipeline Architecture ให้เกิดประโยชน์สูงสุด.
• ให้ Requirement IT รวบรวมข้อมูลจากระบบฐานข้อมูลของธนาคารที่เกี่ยวข้องและระบบงานต่างๆเพื่อจัดทำ และดูแล Datamart ให้มีข้อมูลที่เป็นปัจจุบัน และสมบูรณ์พร้อมใช้งาน เช่น ใช้ในการพัฒนา ทดสอบและติดตามประสิทธิภาพแบบจำลอง และใช้ในการบริหารความเสี่ยงสินเชื่อธุรกิจ.
• ประมวลผลข้อมูลเพื่อให้ข้อมูลสามารถนำไปใช้ในการวิเคราะห์ความเสี่ยงด้านสินเชื่อและจัดทำรายงาน ส่งหน่วยงานอื่น.
• 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:

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. .

ทักษะ:

node.js, Java, Spring Boot

ประเภทงาน:

งานประจำ

• Develop and maintain robust backend services using Node.js, Nest.js, Java, Spring Boot, Camel, and cloud platforms like AWS and GCP.
• Design and build scalable, event-driven, and failure-tolerant systems. Advocate for and implement best practices in DevSecOps, test-driven development (TDD), and continuous delivery pipelines.
• Collaborate on diverse projects in domains such as Payment, Cart, Fulfillment, Search, and Recommendation.
• Vector Search: Working with vector similarity search to enhance relevance.
• ML Models (XGBoost, CNNs): Applying machine learning models for search relevance and personalization.
• LLMs & PEFT: Fine-tuning large language models using Parameter-Efficient Fine-Tuning (PEFT).
• (These skills are not mandatory but would be considered a strong plus.).
• 7+ years of experience in backend development, focusing on Node.js, Nest.js, Java, Spring Boot, Camel, and cloud platforms like AWS and GCP.
• Strong knowledge of PostgreSQL, Redis, distributed locking mechanisms, functional programming, design patterns, and advanced isolation levels.
• Hands-on experience with REST and GraphQL API development.
• Familiarity with Kafka, SQS, Kubernetes, and containerized application deployment.
• Practical experience with OLAP databases like BigQueryand Redshift, analytics tools such as Mixpanel and Amplitude, and AI platforms like SageMaker, MLflow, and Vertex AI.
• Knowledge of NLP, data structures like graphs, BK Trees, B+ Trees, and the Pub/Sub paradigm.
• Excellent communication, collaboration, and problem-solving skills with a growth-oriented mindset.
• 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:

Automation, Javascript, Data Analysis, English

ประเภทงาน:

งานประจำ

• Learn about and understand core issues affecting the business, identify opportunities for improvement, and develop testable hypotheses to fix the problem.
• Support product initiatives and ensure good coordination and collaboration between the teams in various Agoda's departments as well as within the CEG organization to achieve projects milestones and goals.
• Lead operational flows configuration analysis aiming at processes improvement, automation of activities and implementation of new product improvements.
• Translate, improve, and encode existing process flows on the agent interface software using low-code products, or utilizing pieces of pre-defined code and logic statements. Note that hands-on encoding (using a tool built on top of JavaScript) can be >60% of work during a certain stage of the project.
• Lead User Acceptance Testing (UAT) with selected teams and launch new processes globally.
• Analyze data to ensure that the outputs of processes are achieved; identify key issues and risks, report accordingly to management and propose solutions to be implemented.
• Ensure constant communication between project teams and other stakeholders.
• Resolve problems through data analysis, provide efficient reporting and effective communication.
• Work closely with Product Management/Engineering/Tech to improve the tool for end users.
• This is a hands-on role where you often have to build on a low-code/simplified JavaScript tool and/or conduct many of your own data analyses (primarily SQL, Metabase, & Tableau).
• Experience in project/program management, software development, process flow automation development, management consulting, finance, or data-heavy operations.
• Familiar with operational process configuration tools, e.g., MS Visio, agent guidance software, low-code development, basic computer programming.
• Able to analyze business challenges with a data-driven approach and communicate actionable recommendations to business leaders.
• Analytical and able to define analysis structure and interpret data. Ideally, you have some programming background.
• Skilled at statistical software e.g. SQL, VBA, SAAS, Tableau, etc.
• Programming skills (JavaScript, Python, etc.).
• Comfortable with uncertainty and experimentation.
• Proven track record of developing and implementing action plans to achieve business objectives with clear and tangible metrics.
• Strong English communication skills (additional language is a plus), conceptual ability and ability to work with stakeholders at all levels.
• Experience in project/stakeholder management, process improvement, planning, and performance management.
• Able to work in a fast-paced, dynamic, multicultural environment.
• Take initiatives and look for opportunities for improvements. Willing to take and give feedback to colleagues.
• Detail-oriented, hands-on with the ability to complete tasks with speed and accuracy.
• What we offer.
• Competitive compensation package (relocation support for successful overseas candidates).
• Exciting, high impact career opportunity including moves between teams and global locations. You will be interacting with departmental senior leadership team regularly.
• Dynamic multinational working environment with colleagues of diverse educational and professional background.
• Continuous learning and development opportunities through corporate learning programs.
• Modern office space and convenient location at the heart of Bangkok metropolitan.
• This role can serve as a good transition from software engineering/technical field to business, and vice versa.
• PRJM.
• 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:

6 ปีขึ้นไป

ทักษะ:

Finance, Data Analysis, Excel

ประเภทงาน:

งานประจำ

• Work closely with a diverse set of stakeholders in Finance and other parts of the organization.
• Consult stakeholders to propose the best suited data solution.
• Build end-to-end solutions including data workflows, dashboards, reports etc.
• Become familiar with financial data ecosystem at Agoda.
• Help the Finance Analytics team drive value for the Finance department and Agoda as a whole.
• Undergraduate degree.
• 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.
• Experience in ETL tools, data modelling and have proficient knowledge of SQL and Relational Databases: the ability to write, execute and interpret queries is essential.
• Quick learner, problem-solving aptitude, effective prioritization, proactive and strong attention to detail.
• High sense of ownership and growth mindset, ability to be self-directed.
• Ability to understand business questions/requests and be able to suggest proper BI solutions which are measurable and scalable.
• Excellent communication skills and ability to influence peers and build strong relationships within Finance and cross-functionally.
• 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.
• Accounting/Financial knowledge and commercial acumen.
• Master's degree in statistics, economics, mathematics or similar discipline.
• Solid technical/functional knowledge in statistics.
• Familiarity with scrum/agile methodology.
• Other helpful skills - T-SQL, batch scripting, ODBC, data mining, Hadoop.
• Experience with Wallet and Financial Payment systems, including integration and data analysis.
• Understanding of digital payment processes and financial transaction data.
• 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:

PHP, SQL, Automation

ประเภทงาน:

งานประจำ

• Scope of responsibilities: STL plant, and as the part of Domain Leader need to support another site partially.
• As Digital Transformation representative to drive all digital development and deployment across factory and comply with Schneider Cybersecurity policy and Schneider Digital development standard.
• As digital & analytics representative to define the governance and support analytics deployment on the factory site and support in term of analytics competency developm ...
• Fulfill MMR (Minimum Mandatory Requirement) Smart Factory to get Advanced Certification.
• Reduce Non-Value Added (NVA) process for organization through digital development and enhance existing process for each department.
• Improve Energy Management to be more advance through advanced Analytics.
• Improve Assets Performance Management to be more advance through advanced Analytics.
• Develop Digital Best Practices as part of Continuous Improvement and Actively share in Analytics Community and share best practices to other sites.
• Deploy digital analytics solution on data operation to strengthen collaboration across East Asia.
• Support organization to develop process governance for each KPI and standard documentation.
• Developing the Web Based Application (.Net, PHP, HTML, LEAP).
• Developing Database (Ms. SQL, My SQL).
• Developing RPA (Robotic Process Automation).
• Tableau or BI Dashboard creation.
• Data Analytic (Business Analyst).
• Manufacturing Dashboard.
• QualificationsDigital & Analytics Projects.
• Advanced analytics through AI & Gen AI.
• Experience Lean Office deployment through digital solutions.
• Experience Lead Continuous Improvement in the factory.
• Computer Science, Computer Engineering, Mechatronics, Industrial Automation.
• Above 5-8 years in Digital Transformation & Process Automations.
• Analytics Development & Deployment.
• Artificial Intelligence & Generative Artificial Intelligence.
• Web Application Development & Database Management.
• Robotic Process Automation, Business Intelligence.
• Enterprise Resource Planning (ERP) & Manufacturing Execution System (MES).
• Bachelor s degree in engineering, Data Science, Computer Science, or a related field; master s degree preferred.
• Proven experience (5+ years) in digital transformation, data analytics, or a related role within manufacturing or industrial operations.
• Strong understanding of manufacturing processes and operational excellence methodologies (Lean, Six Sigma, etc.).
• Proficiency in data analytics tools (e.g., Tableau, Power BI, Python, R) and enterprise software solutions (e.g., ERP, MES).
• Knowledge of Programming language (C#, javascript, angular, etc).
• Knowledge of Programming platform (LEAP,.Net, Ecostruxure, etc).
• Knowledge of database (Ms.SQL Server, mySQL).
• Knowledge on RPA and Tableau Dashboard.
• Able to make Business Intelligence Dashboard.
• Knowledge on Industrial/manufacturing Operation.
• Digital Learner and high digital literacy.
• Excellent problem-solving skills and the ability to communicate complex data insights to non-technical stakeholders.
• Strong leadership and project management skills, with a track record of successfully leading cross-functional teams.
• Primary Location: TH-11-Samut Prakan.
• Schedule: Full-time Unposting Date: Ongoing

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:

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.

ทักษะ:

Microsoft Office, Excel, Statistics, English

ประเภทงาน:

งานประจำ

• Summarize data in tables, charts, and graphs.
• Analyze and interpret sales data and consumer data + One NielsenIQ portfolio data.
• Deliver final reports and presentations (category overview as well as issue-based) building a story and final recommendations.
• Review data for errors and inconsistencies.
• Use internal tools and data sources.
• Follow and fully owns Center of Excellence (COE) ways of the working process, manages Clients'/Client Business Partners (CBPs') expectations.
• Interacts with client staff on routine issues.
• Independently discusses analysis design to best answer client questions with CBP/client.
• Discuss design and calculate the Quantified Business Opportunity.
• Drive time/cost-effectiveness on the project.
• Support meeting the COE objectives as a whole.
• Inspire peers and co-workers.
• QualificationsCuriosity will bring you to understand where the market is moving and to provide business solutions based on the client's needs. Your chance to deliver high-quality client services all the time is here, working together with our client business partners, while your communication skills will help you to adapt to the multi-diverse working culture.
• Bachelor s Degree from reputable Universities, min GPA 2.5.
• Fresh Graduate are welcome to apply.
• Strong business and financial acumen (including business environment and client) with excellent analytical skills.
• Understanding of growth and brand strategy.
• Strong communication skills & presentation skills, able to interpret numbers or data by storytelling techniques.
• Ability to work independently and comfortable working in a digitally enabled environment.
• Strong Organizational & interpersonal skills.
• Good client service skills and able to communicate and write effectively in English and Thai.
• Knowledge of Microsoft Office, especially PowerPoint and Excel.
• Retail data experience is a plus.
• Basic knowledge in statistics would be an added advantage.
• 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.

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.