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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.

Skills:

Automation, SQL, Data Warehousing

Job type:

Full-time

• Act as the first point of contact for users facing issues related to data and reporting.
• Manage, track, and resolve incidents, service requests, and inquiries via the ticketing system.
• Classify and prioritize incoming tickets based on severity, impact, and urgency.
• Respond to and resolve user tickets in a timely and efficient manner.
• Escalate unresolved or complex issues to appropriate internal teams while maintaining clear communication with the users.
• Diagnose, troubleshoot, and resolve data-related issues, including reporting errors, data discrepancies, and system malfunctions.
• Collaborate with other teams (data engineers, data scientists, data analysts, and other IT teams) to address complex issues.
• Provide clear and comprehensive updates to users on incident status and resolution timelines.
• Provide technical support to end-users via phone, email, chat, and ticketing system.
• Process user requests for new reports, data extracts, or updates to existing data views.
• Coordinate with relevant stakeholders to ensure requests are completed accurately and efficiently.
• Respond to user inquiries about reporting tools, data access, and system functionalities.
• Provide guidance and training to users on self-service reporting tools and best practices.
• Maintain an updated knowledge base for frequently asked questions and user guidance.
• Contribute to the development and maintenance of knowledge base articles.
• Analyze recurring issues and recommend changes to improve system stability and user experience.
• Collaborate with development and data teams to identify opportunities for automation and improved processes.
• Collaborate with other teams to improve system performance and user experience.
• Provide on-call support during evenings, weekends, or holidays as required.
• RequirementsBachelor's degree in Computer Science, Information Technology, or related field.
• Proficiency in SQL and database querying for troubleshooting and resolving data-related issues.
• Strong understanding of database management and concepts.
• Knowledge of data warehousing concepts and ETL processes.
• Experience with business intelligence and data visualization tools (e.g., Power BI, Oracle OBIEE, Oracle BIP).
• Familiarity with data visualization and reporting systems.
• Experience with cloud platforms (AWS, Azure, GCP, or Oracle Cloud).
• Strong analytical and problem-solving skills.
• Excellent communication skills, both written and verbal, with the ability to explain technical concepts to non-technical users.
• Ability to manage multiple tasks, prioritize effectively, and work under pressure.
• Strong customer service orientation and detail-oriented with a focus on delivering high-quality results.

Job type:

Full-time

• จัดเตรียมเอกสาร daily briefing ให้กับทีม.
• ดึง redemption daily report เพื่อตรวจสอบความถูกต้อง และรายการต่อ Manager / Supervisor.
• จัดทำรายงานเคสและ feedback ข้อเสนอแนะต่างๆ ของลูกค้า เป็นรายงานประจำวัน / สัปดาห์ / เดือน / ไตรมาส.
• การจัดทำคู่มือ และ material ของฝ่ายฯ.
• Support Daily Operation หน้างานของฝ่ายลูกค้าสัมพันธ์.
• การจัดสต๊อกของรางวัลสำหรับการแลกโปรโมชั่น และบันทึกอย่างเป็นระบบ เพื่อตรวจสอบได้ง่าย.
• การประสานรับ และ ส่งมอบคืน Gift Card สำหรับขาย และ สำหรับแจก ให้กับทีมแคชเชียร์.
• การประสานกับหน่วยงานอื่น.

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:

ETL, Python, Java

Job type:

Full-time

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Implement and optimize data storage solutions, including data warehouses and data lakes.
• Collaborate with data scientists and analysts to understand data requirements and provide efficient data access.
• Ensure data quality, consistency, and reliability across all data systems.
• Develop and maintain data models and schemas.
• Implement data security and access control measures.
• Optimize query performance and data retrieval processes.
• Evaluate and integrate new data technologies and tools.
• Mentor junior data engineers and provide technical leadership.
• Collaborate with cross-functional teams to support data-driven decision-making.
• RequirementsBachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering or related roles.
• Strong programming skills in Python, Java, or Scala.
• Extensive experience with big data technologies such as Hadoop, Spark, and Hive.
• Proficiency in SQL and experience with both relational and NoSQL databases.
• Experience with cloud platforms (AWS, Azure, or GCP) and their data services.
• Knowledge of data modeling, data warehousing, and ETL best practices.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

Job type:

Full-time

• We are seeking an experienced and strategic Data Business Partner to join our team. This role will be pivotal in bridging the gap between our data capabilities and business objectives, ensuring that data-driven insights and analytics drive our decision-making processes. The ideal candidate will possess a deep understanding of data management, analytics, and business strategy.
• Collaborate with business leaders to identify and prioritize data needs.
• Translate business goals into data requirements and actionable insights.
• Develop and maintain strong relationships with stakeholders across the organization.
• Lead the development and implementation of data strategies that align with business objectives.
• Ensure data governance policies and procedures are adhered to.
• Champion data quality, integrity, and security across the organization.
• Oversee the delivery of advanced analytics and business intelligence solutions.
• Provide strategic insights and recommendations based on data analysis.
• Utilize data to identify trends, opportunities, and potential risks.
• Mentor and guide data analysts and data scientists within the team.
• Drive continuous improvement in data processes and analytics capabilities.
• Manage and prioritize data projects to ensure timely delivery.
• Coordinate with IT and other departments to implement data solutions.
• Monitor and report on project progress and outcomes.
• Stay updated on the latest data technologies and methodologies.
• Ensure the use of best practices in data analytics and data science.
• Provide technical guidance and support to the team..
• Strong ability to analyze user requirements, make recommendations and implement solution.
• Strategic thinker with a business-focused mindset.
• Strong oral and written communication skills.
• Strong communication and interpersonal skills, with the ability to explain complex data concepts to non-technical stakeholders.
• Ability to prioritize and execute in high-pressured environment.
• Ability to work in a fast-paced, dynamic environment.
• Strong problem-solving skills.
• Experience.
• Bachelor s degree in Data Science, Computer Science, Business Analytics, or a related field.
• Proven experience in a business partnering role, with the ability to influence and drive business strategy.
• Proficiency in data analysis tools and technologies (e.g., SQL, Python, Power BI).
• Strong project management abilities with experience in leading cross-functional projects.

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:

ETL, Python

Job type:

Full-time

• รวมข้อมูลดิบจากแหล่งข้อมูลต่างๆ ทั้งภายและภายนอก และสร้างอัลกอริทึมและสร้างต้นแบบ.
• การรวบรวมข้อมูลที่มีโครงสร้าง (Structured Data) และไม่มีโครงสร้าง (Unstructured Data) ประเมินความต้องการและวัตถุประสงค์ทางธุรกิจ.
• จัดระเบียบข้อมูลดิบ นำข้อมูลมาทำความสะอาด (Data Cleansing + Shaping + ETL) รวมถึงจัดเตรียมข้อมูลสำหรับการสร้างแบบจำลอง.
• ทำการ Explore Data ด้วย Data Visualization Tools.
• หาวิธีการปรับปรุงคุณภาพของข้อมูล และสร้างความน่าเชื่อถือของข้อมูลดูแนวโน้มและ Patterns.
• ใช้ AI/ML การทำนาย คาดการณ์ (Predictive) และรายงานผล.
• ปริญญาตรี สาขา วิทยาการคอมพิวเตอร์ วิศวกรรมศาสตร์ คณิตศาสตร์ สถิติ หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ในการทำ Data Visualization.
• มีประสบการณ์การใช้ Cloud Platform.
• มีประสบการณ์การใช้ Python เช่น Pandas, Numpy, Scikit-learn, Matplotlib and PyTorch.
• มีประสบการณ์ การใช้ Machine Learning เช่น regression, classification, clustering and association.
• มีความเข้าใจในสถิติข้อมูล.
• มีทักษะการนำเสนอ โดยสามารถนำความคิดที่ซับซ้อนมาทำให้เป็นรูปแบบที่เข้าใจง่าย.
• นักสื่อสารที่ดีพร้อมการจัดการผู้มีส่วนได้ส่วนเสียได้.
• มีทักษะการแก้ปัญหา.

Experience:

3 years required

Skills:

Compliance, Legal, Risk Management

Job type:

Full-time

• Develop data security policy review, data security policy exceptions, and control risk mitigation processes.
• Define the security controls for access management lifecycle (i.e., requirement for creation, deletion, transfer and review).
• Operate:Advice on technology relating to Data Privacy and Protection (i.e., PDPA) related security controls implementation.
• Drive and support data security controls such as Data Loss Prevention (DLP), Data Masking, Data Encryption capabilities to protect sensitive data.
• Drive compliance (or collaborate with compliance team) to organization security policies, standards, metrics, and legal requirements.
• Communicate and enforce security policies, rules, and standards.
• Conduct impact assessment of data initiatives from a security point of view.
• Ensure the cryptographic keys and related components are safety and protection of confidential information.
• Resolve data security audit and risk findings.
• Review and develop security controls to current access controls policies and procedures.
• Provide requirements for create and manage roles, access rights (includes privileged access), authentication and identity within the environment.
• Conduct periodic review of user access.
• Review, approve and monitor the usage of privileged access.
• EDUCATION.
• Bachelor s degree in computer science, Information Systems, or equivalent education or work experience.
• EXPERIENCE.
• Work experience in privacy, compliance, information security, auditing or a related field may also be an accepted alternative, according to Cybersecurity.
• Minimum 3 years of experience in and strong knowledge of privacy, data, operational risk management, information security, or related areas in IT.
• OTHER REQUIREMENTS.

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:

Compliance, Legal

Job type:

Full-time

• Develop and implement a comprehensive data governance strategy aligned with organizational goals and industry best practices.
• Establish data governance frameworks, policies, and procedures to ensure the quality, availability, and security of data assets.
• Data Quality Management:Define data quality standards and metrics, and establish processes for monitoring and improving data quality.
• Implement data profiling and cleansing initiatives to enhance data accuracy and reliability.
• Data Security and Compliance:Ensure compliance with data privacy regulations (e.g., PDPA) and internal data security policies.
• Collaborate with legal and compliance teams to mitigate risks associated with data handling and usage.
• Stakeholder Engagement and Communication:Collaborate with business units and IT teams to understand data requirements and promote data governance best practices.
• Communicate data governance principles, policies, and guidelines to stakeholders, fostering a culture of data stewardship and accountability.
• Risk Management and Issue Resolution:Identify data governance risks and issues, and develop mitigation strategies and action plans.
• Monitor and report on data governance metrics and key performance indicators (KPIs) to track progress and address deficiencies.
• Training and Education:Provide training sessions and workshops on data governance principles, policies, and tools to raise awareness and build capabilities across the organization.
• Support ongoing education and awareness initiatives to ensure understanding and compliance with data governance standards.
• BenefitsProven experience in data governance and data management topics, including its relevant systems.
• 5+ years of experience in data governance, data management, or related roles, with a solid understanding of data governance frameworks and practices.
• Strong knowledge of data privacy regulations and compliance requirements (e.g., PDPA).
• Experience with data quality management tools and methodologies. Alation-specific certifications or training would be an advantage.
• Excellent communication and interpersonal skills, with the ability to influence stakeholders at all levels of the organization.
• Strong understanding of data governance framework and practices and ability to development policies and standards.

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.

Job type:

Full-time

• การกำกับดูแลข้อมูล (Data Governance)
• นำการดำเนินงานด้านกรอบการกำกับดูแลข้อมูล นโยบาย และกระบวนการที่กำหนดโดยองค์กร
• ทำงานร่วมกับเจ้าของข้อมูลและผู้ดูแลข้อมูลเพื่อกำหนดมาตรฐานข้อมูล แนวปฏิบัติในการจัดการข้อมูล และแนวทางการใช้งานข้อมูล
• ตรวจสอบให้สอดคล้องกับข้อกำหนดด้านกฎหมายและมาตรฐานที่เกี่ยวข้อง (เช่น GDPR, PDPA).
• การจัดการคุณภาพของข้อมูล (Data Quality Management)
• กำหนดและติดตามตัวชี้วัดคุณภาพข้อมูล (เช่น ความถูกต้อง ความครบถ้วน ความทันเวลา)
• ใช้เครื่องมือและกระบวนการจัดการคุณภาพข้อมูลเพื่อแก้ไขความผิดพลาดและพัฒนาความน่าเชื่อถือของข้อมูล
• ประสานงานกับหน่วยงานธุรกิจเพื่อแก้ปัญหาและป้องกันปัญหาคุณภาพข้อมูลในอนาคต.
• การจัดการเมตาดาต้าและข้อมูลหลัก (Metadata and Master Data Management)
• พัฒนาและดูแลคลังเมตาดาต้าและพจนานุกรมข้อมูลขององค์กร
• ดูแลการจัดการข้อมูลหลัก (Master Data) เพื่อให้ข้อมูลมีความสอดคล้องในระบบและกระบวนการ.
• การทำงานร่วมกับผู้มีส่วนได้ส่วนเสีย
• เป็นตัวกลางระหว่างหน่วยงานธุรกิจ ทีมไอที และทีมกำกับดูแล เพื่อสร้างวัฒนธรรมความรับผิดชอบต่อข้อมูล
• เป็นผู้นำในการจัดประชุมคณะกรรมการกำกับดูแลข้อมูลและกลุ่มทำงาน
• จัดอบรมและให้การสนับสนุนแก่ผู้มีส่วนได้ส่วนเสีย เพื่อยกระดับความเข้าใจในข้อมูลและปฏิบัติตามแนวทางการกำกับดูแล.
• การบริหารจัดการความเสี่ยงและการปฏิบัติตามกฎระเบียบ
• ระบุความเสี่ยงที่เกี่ยวข้องกับข้อมูลและเสนอแนวทางการแก้ไข
• ตรวจสอบให้การใช้งานข้อมูลสอดคล้องกับเป้าหมายขององค์กร กฎหมาย และมาตรฐานทางจริยธรรม
• เป็นผู้นำในการตรวจสอบและประเมินผลด้านการกำกับดูแลข้อมูล.
• มีประสบการณ์ทำงานที่เกี่ยวข้องกับการกำกับดูแลและการจัดการคุณภาพของข้อมูล.
• ปริญญาตรีสาขาบริหารธุรกิจ วิทยาการคอมพิวเตอร์ คอมพิวเตอร์ธุรกิจ เทคโนโลยีสารสนเทศ หรือ สาขาอื่น ๆ ที่เกี่ยวข้อง..
• ติดต่อสอบถาม.
• สำนักทรัพยากรบุคคล.
• บริษัท ไทยเบฟเวอเรจ จำกัด (มหาชน).
• อาคารเล้าเป้งง้วน 1 333 ถนน วิภาวดีรังสิต จอมพล เขตจตุจักร กรุงเทพมหานคร 10900.

Skills:

Data Analysis, SQL, Excel, English

Job type:

Full-time

• Data Analysis: Conduct in-depth analysis of retail and wholesale business data to address specific business questions and challenges.
• Insight Generation: Interpret results from dashboards and data analyses to develop actionable insights and strategic recommendations.
• Requirement Gathering: Identify business problems, gather requirements, and propose potential solutions, including leveraging AI to enhance business operations.
• ML Model creations: Create data analytic model including both deterministic and machine learning model.
• AI vendors coordination's: Collaborate with external AI suppliers to align project objectives with technological capabilities.
• Cross-Departmental Collaboration: Work with various departments to develop and implement data-driven strategies that optimize business processes and decision-making.
• Communication: Act as a liaison between stakeholders and AI vendors, ensuring clear communication understanding of project requirements.
• Data analytics and AI Strategy Design; Design and recommend how Business Intelligence (BI) and AI technologies can address business problems and provide further insights.
• Decision making support: Present key findings from own analysis and strategic recommendations to business counterparts and senior management, focusing on project approaches and strategic planning.
• Bachelors' Degree or higher in Computer Science, Engineering, Information Technology, Management Information System.
• Strong business acumen, with a deep understanding of retail and wholesale business.
• At least 5 years of proven experience as a data analytic role (Retail or E-Commerce Business is preferable).
• Hands-on Experience in SQL, data cloud platform (e.g. Databricks, Snowflake, GCP, or AWS) and high proficiency in excel.
• Good knowledge of Statistics.
• Experience in Python (Pandas, Numpy, SparkSQL), Data Visualization (Tableau, Power BI) is a plus.
• Excellent communication skills with a ability to convey complex findings to non-technical stakeholders.
• Fluent in Thai and English.
• Having good attitude toward team working & willing to work hard.

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:

Python, Instrument, English

Job type:

Full-time

• Implement python application to handle data structure/format to price financial instruments using both self-created libraries embedded and/or pre-defined library or Refinitiv quantitative pricing service API.
• Participate in requirement discussion both technical and non-technical aspect with relevant parties mainly located in Europe and India.
• Produce minimum level of requirement document.
• Provide 3rd level support of application.
• Required skills and experience New graduated are also welcome.
• Good knowledge in Python programming language and application design.
• Understand concept of API (application programming interface).
• Intermediate level in spoken and written English.
• Positive and open mindset, eager to learn new technologies.
• Preferred skills, interests (not required but with advantage) Strong interest in financial market, trading securities and investment.
• Knowledge in statistic and calculus (e.g. partial differential equation).
• Concept of financial market and financial instrument especially derivatives.
• LSEG is an equal opportunties 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:

SQL, Python, SAS

Job type:

Full-time

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

Experience:

5 years required

Skills:

Data Analysis, Automation, Python

Job type:

Full-time

• Work with stakeholders throughout the organization to understand data needs, identify issues or opportunities for leveraging company data to propose solutions for support decision making to drive business solutions.
• Adopting new technology, techniques, and methods such as machine learning or statistical techniques to produce new solutions to problems.
• Conducts advanced data analysis and create the appropriate algorithm to solve analytics problems.
• Improve scalability, stability, accuracy, speed, and efficiency of existing data model.
• Collaborate with internal team and partner to scale up development to production.
• Maintain and fine tune existing analytic model in order to ensure model accuracy.
• Support the enhancement and accuracy of predictive automation capabilities based on valuable internal and external data and on established objectives for Machine Learning competencies.
• Apply algorithms to generate accurate predictions and resolve dataset issues as they arise.
• Be Project manager for Data project and manager project scope, timeline, and budget.
• Manage relationships with stakeholders and coordinate work between different parties as well as providing regular update.
• Control / manage / govern Level 2 support, identify, fix and configuration related problems.
• Keep maintaining/up to date of data modelling and training model etc.
• Run through Data flow diagram for model development.
• EDUCATION.
• Bachelor's degree or higher in computer science, statistics, or operations research or related technical discipline.
• EXPERIENCE.
• At least 5 years experience in a statistical and/or data science role optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis, Expertise in advanced Analytica l techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
• Expertise in advanced analytical techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
• Experience using analytical tools and languages such as Python, R, SAS, Java, C, C++, C#, Matlab, SPSS IBM, Tableau, Qlikview, Rapid Miner, Apache, Pig, Spotfire, Micro S, SAP HANA, Oracle, or SOL-like languages.
• Experience working with large data sets, simulation/optimization and distributed computing tools (e.g., Map/Reduce, Hadoop, Hive, Spark).
• Experience developing and deploying machine learning model in production environment.
• Knowledge in oil and gas business processes is preferrable.
• OTHER REQUIREMENTS.

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.