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Job type:

Full-time

• Collect and organize data from various sources, Ensure the accuracy, completeness, and consistency of data for analysis
• Maintain and update datasets, ensuring that they remain current and relevant.
• Apply statistical techniques and data analysis methods to interpret complex datasets.
• Identify trends, patterns, correlations, and anomalies within the data that can inform business decisions.
• Use data visualization tools (e.g., Tableau, Power BI, or Excel) to create interactive charts, dashboards, and graphs that present key insights.
• Communicate findings clearly through visual representation, making complex data easier to understand for non-technical stakeholders.
• Prepare and present reports summarizing data analysis, trends, and recommendations.
• Create regular performance reports, including key performance indicators (KPIs), to track business performance.
• Identify business problems that can be addressed through data analysis.
• Provide actionable insights and recommendations to improve business processes, performance, or strategy.
• Work closely with other departments (e.g., marketing, sales, finance, operations) to understand their data needs and provide analytical support.
• Collaborate with data scientists, business analysts, or IT teams to ensure data is captured, processed, and analyzed correctly.
• Continuously improve analytical processes and methodologies to increase efficiency and accuracy.
• Other job which may assign by Asst. Manager / HOD.
• Problem solving skills
• Negotiations skills
• Time management skills
• Familiar with any management system
• Advanced skills in operating computer office programs
• Good command of English and be able to correspondence with oversea
• Good personality, diligent, willing to work hard, self responsibility and honest.

Skills:

Power BI, SQL, Python, English

Job type:

Full-time

• Understand and document the business requirements for developing effective data solutions.
• Develop dashboards, reports, and analyses that provide actionable insights.
• Balance retail/wholesale business acumen with data management expertise and technical proficiency.
• Collaborate closely with data engineers, data scientists, and business partners.
• Deliver robust, scalable data solutions with a focus on speed, performance, security, governance, and architecture.
• Mentor junior data analysts and promote best practices within the team.
• Requirements5+ years of experience as a data analyst, preferably in retail or wholesale industries.
• Proven expertise in Power BI, SQL, Python and Cloud Data Platforms.
• Demonstrated ability to translate complex business requirements into effective data solutions.
• Strong leadership skills, including:Mentoring and developing junior analysts.
• Managing cross-functional projects.
• Guiding teams through complex BI development initiatives.
• Excellent communication skills, including:Fluency in verbal and written English.
• Ability to clearly articulate technical concepts to stakeholders with varying technical backgrounds.
• Track record of successful collaboration with various departments and stakeholders.

Skills:

Power BI, SQL, Python, English

Job type:

Full-time

• Understand and document business requirements for developing data solutions.
• Develop dashboards, reports, and analyses that provide actionable insights.
• Balance retail/wholesale business acumen with data management expertise and technical proficiency.
• Collaborate closely with data engineers, data scientists, and business partners.
• Contribute to the delivery of robust, scalable data solutions with a focus on performance, security, and governance.
• RequirementsBachelor s degree in a STEM or related fields.
• 1-3 years of experience as a data analyst, preferably in the retail or wholesale industries.
• Proficiency in Power BI, SQL, and Python.
• Basic understanding of cloud data platforms.
• Ability to translate business requirements into effective data solutions.
• Strong communication skills, including:Fluency in verbal and written English.
• Ability to clearly articulate technical concepts to stakeholders with varying technical backgrounds.

Skills:

SQL, Data Warehousing, ETL, English

Job type:

Full-time

• 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.

Experience:

3 years required

Skills:

Business Development, Data Analysis, SQL, English

Job type:

Full-time

• Lead the development and execution of data-driven strategies to optimize sales and business development efforts within seller segment.
• Analyze large datasets to identify trends, opportunities, and potential risks, providing actionable insights to the sales and category management teams.
• Collaborate with cross-functional teams to design and implement data visualization tools and dashboards for monitoring performance and decision-making.
• Monitor market trends, competitors, and customer behavior to inform category strategies and adjust as needed to maintain a competitive edge.
• Develop and maintain predictive models to forecast sales, identify potential upselling and cross-selling opportunities, and assess the impact of promotional activities.
• Bachelor's degree in Business Administration.
• Minimum of 3 years of experience in data analytics, with a focus on sales and/or category management in a fast-paced, e-commerce environment.
• Proficient in using data analysis tools such as SQL, Python, R, and experience with data visualization platforms like Tableau or Power BI.
• Strong understanding of statistical analysis and modeling techniques, with the ability to communicate complex findings to non-technical stakeholders.
• Excellent interpersonal and communication skills, capable of building relationships and influencing decision-making across different teams.

Skills:

Data Analysis, Tableau, Power BI, English

Job type:

Internship

• Perform data analysis using your weapon of choice - either Tableau or Power BI.
• Perform data manipulation, analysis, and forecasting via MS Excel.
• Learn how to analyse and capture insights using real world data.
• Learn what service intelligence is and it's impact.
• Work with partners across the globe.
• Get to be part of world's leading fintech company.
• What we are looking for: You will have an interest in technology demonstrated either via your academic studies, work experience, or extracurricular activities. For instance, you may be part of a Computing Society, have taught yourself how to code or have focused on technology as part of a university project. Basic SQL, will be a good starting point to have for this internship.
• Although not a requirement if you understood Python, Power BI, and Tableau skills this would be a plus.
• A curiosity for data and an ability to analyse information to draw conclusions and propose solutions.
• Individuals who are able to connect the dots and think creatively.
• People who can collaborate with others, using their strong English communication skills in the process. (written and verbal).
• To be apply, you must be a penultimate year student due to complete your degree 2026. You should have a good grade and studying a technology, engineering or computing related degree. Application close: 31 December 2024, however we recommend an early application because we consider candidates on a rolling recruitment basis. Due to the volume of applications, we might close the applications earlier. LSEG is an equal opportunities employer, that seeks to offer an inclusive environment to all colleagues. Furthermore, LSEG has committed to reduce its carbon emissions by 50% by 2030, and to reach net zero by 2040. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Skills:

Power BI, Excel, Microsoft Office

Job type:

Full-time

• วิเคราะห์ และจัดทำรายงานเปรียบเทียบข้อมูล ต่างๆ เช่น รายวัน, รายเดือน, รายปี โดยเปรียบเทียบกับข้อมูลในอดีตเป้าหมาย และการประมาณการในอนาคต เพื่อนำเสนอผู้บริหาร.
• จัดทำงบประมาณประจำปีในส่วนของ ยอดขาย และค่าใช้จ่ายส่งเสริมการขาย.
• จัดทำรายงานสรุป Profit & Loss ประจำเดือนในมุมมองบริหารฯ เพื่อนำเสนอผู้บริหาร.
• จัดทำฐานข้อมูลตามแนวทางต่างๆ เพื่อสนับสนุน การคำนวณ/การทำรายงานของส่วนงานอื่นๆ ที่เกี่ยวข้อง เช่น เป้าหมายการจ่ายเงินจูงใจให้กับพนักงาน, เป้าหมายการจ่ายเงินรางวัล เป็นต้น.
• ออกแบบ Dashboard สำหรับข้อมูลด้านต่างๆ ที่เกี่ยวข้อง ให้ผู้ใช้งานเข้าใจ และสามารถนำไปใช้ได้ง่าย เช่น Power BI.
• ออกแบบ Template ให้ส่วนงานต่างๆที่เกี่ยวข้อง เพื่อรองรับการทำงานในการรวบรวมข้อมูล เพื่อช่วยให้การทำงาน ได้ผลลัพธ์ที่รวดเร็วขึ้น.
• วิเคราะห์ข้อมูลอื่น ๆ ที่เกี่ยวข้อง ตามที่ได้รับมอบหมาย.
• ให้คำแนะนำในกาวิเคราะห์ข้อมูล แก่หน่วยงาน ต่าง ๆ ที่มีการใช้งานข้อมูล.
• งานอื่น ๆ ที่ได้รับมอบหมาย.
• มีทักษะในการใช้คอมพิวเตอร์โปรแกรม MS Excelขั้นสูง.
• มีทักษะการใช้คอมพิวเตอร์อื่นๆ ได้เป็นอย่างดี: Microsoft Office; Word, Power Point.
• มีความสามารถทางการวิเคราะห์ การวางแผน และการจัดการอย่างเป็นระบบ และมีมาตรฐานในการทำงาน.
• มีทักษะในการสื่อสาร และความสามารถ ในการเจรจา ต่อรอง.
• มีความสามารถในการเรียนรู้สิ่งใหม่ ๆ ได้รวดเร็ว.
• มีทักษะในการนำเสนองาน.
• มีทักษะในการใช้ Power BI (ถ้ามี).
• มีความรู้พื้นฐานด้านการเขียนโปรแกรมต่าง ๆ (ถ้ามี).
• ติดต่อสอบถาม.
• บริษัท โมเดิร์นเทรด แมนเนจเม้นท์ จำกัด.
• อาคารเล้าเป้งง้วน 1 ชั้น 26 ถนนวิภาวดีรัสิต แขวงจอมพล เขตจตุจักร แขวงจอมพล เขตจตุจักร จังหวัดกรุงเทพมหานคร.

Skills:

Finance, Compliance

Job type:

Full-time

• Conduct detailed analysis of Enterprise Service revenue to identify trends in products and services within AIS Group.
• Verify the accuracy and completeness of revenue collection, promotion packages, and new services to ensure compliance with business conditions.
• Develop appropriate QA measures to minimize revenue loss and operational errors.
• Detect and investigate irregularities affecting revenue, such as real loss, opportunity loss, and fraud.
• Collaborate with relevant departments to address and rectify issues impacting revenue.
• Ensure the accuracy of service charges, promotion packages, and offerings for enterprise customers.
• Review and validate the calculation of postpaid voice, IDD, and IR services in the RBM system to prevent revenue loss.
• Utilize data analytics skills to analyze data from various sources, reflecting trends, performance, and efficiency of products and services.
• Prepare analysis reports to support management in strategy formulation and risk assessment.

Skills:

Excel, Python, Power BI

Job type:

Full-time

• Identify and provide list of non-performing inventory, never been sold inventory, non-Planogram, Inventory to Merchandise & Buyer, follow up action and simulate impact from Mark down price.
• Analyze root cause which impact to non-performing inventory increasing and provide conclusion and recommendation for next step action in term of work in a process with relevant parties.
• Work with Store Operations to follow up execution to clear these inventory.
• Bachelor Degree of Supply Chain, Logistic, Economics, Mathematic and other relate filed.
• Have experience in Data analyst, Inventory Analyst, Inventory Planning at least 3-5 Years.
• Excellent for Excel (Pivot, VLOOKUP, VBA), Python, Power BI, Power Query, Tableau.
• Have experience in Retail business /FMCG would be advantage.
• Good Analytic skills.

Skills:

SQL, Research, Java

Job type:

Full-time

• 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).

Skills:

Data Analysis, Excel, Power BI

Job type:

Full-time

• Graduate with a Bachelor's/Master's Degree in Economics, Engineer, IT, or other related fields.
• Have an Experience in data analysis or performance reporting.
• Strong data analysis skills using Excel, Power BI, and SQL.
• Able to use VBA/Macro will be given special consideration.
• Experience in Retail businesses will be given special consideration..
• Tasks & responsibilities.
• Prepare and deliver daily, weekly, and monthly business reports to key stakeholders and business controllers.
• Recommend IT solutions for optimizing report generation across Financial, Commercial, and Operational areas.
• Ensure accuracy and consistency in data, readying it for comprehensive reporting.
• Provide data support to internal teams to meet reporting needs.
• Prepare additional ad hoc reports as assigned..

Job type:

Full-time

• Analyze data and provide business insight.
• Assess risk and design mitigation actions based on data insight.
• Design dashboards / predictive models for decision-making management.
• Lead and Supervise team by projects.

Skills:

Data Analysis, English

Job type:

Full-time

• Data Innovation Team.
• ปฎิบัติงานยัง บริษัท Infinitas by Krungthai
• As a data analyst in Infinitas, you would expect a new level of analytical experiences here. Being part of Data Innovation team, your goal is to make data useful for all stakeholders. Under the big umbrella of the leading bank in Thailand, Infinitas leverage the largest financial data sets from both traditional banking and mobile banking services. From customer digital footprint to branch, ATM and call center. We mea ...
• Job Responsibilities
• Conduct data inventory research with product owner, business owner and IT BA to gain full understandings of data availability.
• Communicate with business owners to translate business problem/challenge into actionable analytical solution
• Initiate EDA ideas to tag hidden opportunities for customer, product, channel and other various areas.
• Analyze digital and traditional user journey funnel and customer persona
• Visualize data for fast decision making and insight interpretation
• Define customer segmentations for strategy planning and marketing targeting
• Plan holistic A/B testing campaigns to evaluate data values on business impact
• Design and fulfill monitoring dashboards and automated reports
• English as working language
• Minimum of 3 years data analytics related working experiences
• At least 1 year of working experience directly communicate to business team
• Proficient in Python or SQL
• Advanced hands on experiences with visualization tool
• Strong communication and analytical thinking skills
• Good balance of data and business knowledge
• Fintech or banking industry
• Internet companies with mobile application.
• 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 .

Experience:

3 years required

Skills:

Product Development, Publishing, Statistics

Job type:

Full-time

• Department: Marketing.
• Company: บริษัท จีเอ็มเอ็ม มิวสิค จำกัด (มหาชน).
• Analyze data from various channels to develop business strategies, such as increasing sales, recommending suitable marketing campaigns, or providing insights for product development.
• Identify correlations across diverse data sources to perform a thorough analysis.
• Prepare data for analysis by designing data ingestion processes, creating data warehouses, defining related data dimensions, and ensuring data readiness. Additionally, determine methods for data publishing across different channels to maximize utility.
• Perform data visualization and reporting to communicate insights effectively..
• Bachelor s degree in Statistics, Finance, Economics, Computer Science, or a related field.
• At least 3 years of experience in data management and development.
• Advanced skills in Excel or Google Sheets.
• Previous experience with Power BI, Google Data Studio, or dashboards.
• Basic familiarity with tools such as Fanpage Karma or Supermetrics.
• Ability to manage and integrate data from multiple sources.
• Strong attention to detail, high responsibility, and at least 1 year of experience in the data field..
• ประสบการณ์ 3 ปีขึ้นไป.
• จำนวน 1 อัตรา.

Skills:

Excel, Python, Power BI

Job type:

Full-time

• Create, Develop and Monitor Auto Replenishment & Parameter.
• Maintain and adjust parameters to optimize stock availability/ stock level during normal/month and promotion periods.
• Investigate and identify root cause of overstocking and OOS at Store/DC.
• Monitoring of target stock on normal/seasonal period to suit with business sale target.
• Adjust daily sales in system to correct average daily sales after promotion period.
• Forecasting demand in each promotion campaign to manage Parameter setting.
• Develop Daily KPI Dashboard to monitor sales performance VS Suggest number from system.
• Bachelor Degree of Supply Chain, Logistic, Economics, Mathematic and other relate filed.
• Have experience in Data analyst, Inventory Analyst, Inventory Planning at least 3-5 Years.
• Strong Mathematic skills is a must.
• Excellent for Excel (Pivot, VLOOKUP, VBA), Python, Power BI, Tableau.
• Have experience in Retail business /FMCG would be advantage.
• Good Analytic skills.

Skills:

Excel, Meet Deadlines, Power BI

Job type:

Full-time

• Collect HR Data from a variety of data sources, including HRMS, Excel, Google Sheet and Text files.
• Preparing data and developing analytical reports in the HR area, such as HR Dashboard, to support executive decision-making.
• Analyzes and prepares Executive Dashboard in order to predict and find solutions with HR team member.
• Support the HR team by providing insightful information to support HR strategies.
• Bachelor s Degree in Business Administration or a related field.
• Minimum of 2 years of experience in an HR Data Analyst or HRIS role.
• Ability to manage multiple tasks/projects, work under pressure, and meet deadlines.
• Strong verbal and written communication skills, with excellent presentation abilities.
• Results-driven and solution-oriented.
• Experience with data visualization and analytics platforms such as Microsoft Power BI or Tableau.
• Proficiency in SQL, including platforms like PostgreSQL and Oracle DB.

Experience:

3 years required

Skills:

Excel, Python, Power BI

Job type:

Full-time

• Create, Develop and Monitor Auto Replenishment & Parameter.
• Maintain and adjust parameters to optimize stock availability/ stock level during normal/month and promotion periods.
• Investigate and identify root cause of overstocking and OOS at Store/DC.
• Monitoring of target stock on normal/seasonal period to suit with business sale target.
• Adjust daily sales in system to correct average daily sales after promotion period.
• Forecasting demand in each promotion campaign to manage Parameter setting.
• Develop Daily KPI Dashboard to monitor sales performance VS Suggest number from system.
• Bachelor Degree of Supply Chain, Logistic, Economics, Mathematic and other relate filed.
• Have experience in Data analyst, Inventory Analyst, Inventory Planning at least 3-5 Years.
• Have experience in Retail business /FMCG would be advantage.
• Excellent for Excel (Pivot, VLOOKUP, VBA), Python, Power BI, Tableau.
• Good Analytic skills.

Experience:

1 year required

Skills:

ETL, Data Analysis, Industry trends

Job type:

Full-time

• Analyze and interpret complex data sets to uncover insights and trends that drive business strategy and decision-making.
• Collaborate with cross-functional teams to understand their data needs and provide actionable recommendations.
• Design and maintain dashboards, reports, and visualizations using tools to communicate insights effectively.
• Extract data from various sources, including databases, APIs, and third-party services, ensuring data quality and accuracy.
• Develop and implement data models, ETL processes, and automated reporting solutions to streamline data analysis.
• Stay updated with industry trends and new technologies to enhance the company's data analytics capabilities.
• Participate in data governance initiatives, ensuring compliance with data privacy and security regulations.
• Bachelor's degree in Statistics, Data Science, or a related field; an MBA or advanced degree is a plus.
• Minimum of 5 years of experience in business intelligence or data analysis, preferably in a fast-paced e-commerce environment.
• Proficient in SQL and at least one data visualization tool (e.g., Tableau, Power BI), with a solid understanding of data warehousing concepts.
• Strong analytical skills, with the ability to manipulate, clean, and derive insights from large datasets.
• Effective communicator with excellent presentation skills, capable of translating complex data into simple, actionable insights for non-technical stakeholders.

Experience:

10 years required

Skills:

Industry trends, Compliance, Statistics

Job type:

Full-time

• 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. .

Experience:

8 years required

Skills:

Data Analysis, Tableau, Excel

Job type:

Full-time

• Work closely with stakeholders to understand business requirements, identify opportunities, and whitespace to commercialize data-driven insights and solutions.
• The candidate will need to lead data analysis and sales pitching for the Annual Media planning process, and have good commercial awareness and communication skills to be able to connect with multiple stakeholders.
• Break down business questions into analytical frameworks, and being able to talk the language of technical teams as well as commercial stakeholders is a key requirement ...
• The candidate will need to lead the development of end-to-end data lead media solutions, and media measurements to keep ahead of the media industry standards and own roadmap to deploy and modernize media measurements across different media platforms, channels, and mechanics.
• Candidates should have some idea of offline and online SSP and DSP platforms and architecture, and market direction to strategically build and improve media solutions, either owned or in partnership with external parties.
• Be proactive and co-own the go to market strategy along with commercial stakeholders for multiple media channels/ and other data commercialization initiatives, and proactively help plan the right focus areas for the team, develop solutions and products to help build the roadmap and pipeline for commercial opportunities.
• Develop and implement predictive models, statistical algorithms, and machine learning models to support business needs.
• Develop and implement data visualizations using PowerBI/ Data Studio/QuickSight/ Tableau/ Excel to effectively communicate insights to stakeholders.
• Collaborate with cross-functional teams, including business analysts, product managers, and developers, to implement data-driven solutions.
• Stay up to date with emerging technologies, marketing technology platforms, omni-channel media and industry trends to identify new opportunities for improving data analytics and applications.
• Mentor and coach junior data scientists and data analysts to develop their skills and expertise.
• Bachelor s or Master s degree in data science/ engineering/ statistics/economics/ computer science/ mathematics, or a related field is a requirement.
• MBA/Business degree with strong background in technical understanding and hands-on expertise is preferable.
• Online media experience will be a strong advantage.
• 8+ years of experience as a data scientist or data analyst in marketing across any industry is a requirement.
• Strong proficiency in Python/ Pyspark/ SQL/ R is a requirement.
• Strong experience in story telling from data, analysis and insight is required.
• Commercial understanding, and having a balanced approach for go-to-market strategy is a requirement.
• Experience with machine learning algorithms and statistical modeling is a bonus.
• Strong communication skills and the ability to collaborate with cross-functional teams is a requirement.
• Proven ability to work independently and manage multiple projects simultaneously is a requirement.
• The candidate must display a high sense of accountability and be agile in handling high value projects, and be able to motivate the team to deliver as a shared objective with the commercial plan.
• Experience in mentoring and coaching junior/ senior DA/ DS is a requirement.