Filter Jobs

Skills:

ETL, Big Data, SQL

Job type:

Full-time

• Design and develop ETL solutions using data integration tools for interfacing between source application and the Enterprise Data Warehouse.
• Experience with Big Data or data warehouse.
• Analyze & translate functional specifications & change requests into technical specifications.
• Experience in SQL programming in one of these RDBMSs such as Oracle.
• Develops ETL technical specifications, designs, develops, tests, implements, and supports optimal data solutions.
• Develops Documents ETL data mappings, data dictionaries, processes, programs and solutions as per established standards for data governance.
• Design and create codes for all related data extraction, transformation and loading (ETL) into database under responsibilities.
• Creates, executes, and documents unit test plans for ETL and data integration processes and programs.
• Perform problem assessment, resolution and documentation in existing ETL packages, mapping and workflows in production.
• Performance tuning of the ETL process and SQL queries and recommend and implement ETL and query tuning techniques.
• Qualifications Bachelor s degree in Information Technology, Computer Science, Computer Engineering, or a related field.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) and automation frameworks.
• Proficiency in cloud platforms such as AWS, Azure, and associated services.
• Knowledge of IAC tools like Terraform or Azure ARM.
• Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, APM, etc.
• Good understanding of IT Operations.
• Strong problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication and teamwork skills to collaborate effectively across various teams.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

Skills:

Data Analysis, ETL, Data Warehousing

Job type:

Full-time

• Data Architecture: Design, develop, and maintain the overall data architecture and data pipeline systems to ensure efficient data flow and accessibility for analytical purposes.
• Data Integration: Integrate data from multiple sources, including point-of-sale systems, customer databases, e-commerce platforms, supply chain systems, and other relevant data sources, ensuring data quality and consistency.
• Data Modeling: Design and implement data models that are optimized for scalability, ...
• Data Transformation and ETL: Develop and maintain efficient Extract, Transform, and Load (ETL) processes to transform raw data into a structured format suitable for analysis and reporting.
• Data Warehousing: Build and maintain data warehouses or data marts that enable efficient storage and retrieval of structured and unstructured data for reporting and analytics purposes.
• Data Quality and Monitoring: Implement data quality checks and monitoring mechanisms to identify and resolve data inconsistencies, anomalies, and issues in a timely manner.
• Performance Optimization: Optimize data processing and query performance to ensure efficient data retrieval and analysis, considering factors such as data volume, velocity, and variety.
• Bachelor's or master's degree in computer science, information systems, or a related field.
• Strong programming skills in languages such as Python, SQL. C++ is plus.
• At least 5 year experience with data modeling, database design, and data warehousing concepts.
• Proficiency in working with relational databases (e.g., MySQL, PostgreSQL) and big data technologies (e.g., Hadoop, Spark, Hive).
• Familiarity with cloud-based data platforms, such as AWS.
• Knowledge of ETL tools and techniques for data integration and transformation.
• Location: BTS Ekkamai
• Working Day: Mon-Fri (WFA Every Friday).

Skills:

Big Data, Hive, SAS

Job type:

Full-time

• Experience migrating from on-premise data stores to cloud solutions.
• Knowledge of system design and platform thinking to build sustainable solution.
• Practical experience with modern and traditional Big Data stacks (e.g BigQuery, Spark, Databricks, duckDB, Impala, Hive, etc).
• Experience working with data warehouse solutions ELT solutions, tools, and techniques (e.g. Airflow, dbt, SAS, Matillion, Nifi).
• Experience with agile software delivery and CI/CD processes.
• Bachelor's or Master's degree in computer science, statistics, engineering, or a related field.
• At least 3 years of experience in data analysis and modeling.
• Proficiency in Python, and SQL.
• Experience with data visualization tools such as Tableau, Grafana or similar.
• Familiarity with cloud computing platforms, such as GCP, AWS or Databricks.
• Strong problem-solving skills and the ability to work independently as well as collaboratively.
• Growth Potential: This role offers a clear path to advance into machine learning and AI with data quality and management, providing opportunities to work on innovative projects and develop new skills in these exciting fields..
• Contact: [email protected].
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

Skills:

Big Data, Hive, SAS

Job type:

Full-time

• System Design: Knowledge of system design and platform thinking to build sustainable solutions.
• Big Data Experience: Practical experience with modern and traditional Big Data stacks (e.g., BigQuery, Spark, Databricks, duckDB, Impala, Hive).
• Data Warehouse Solutions: Experience working with data warehouse solutions, ELT tools, and techniques (e.g., Airflow, dbt, SAS, Nifi).
• API Development: Experience with API design to facilitate integration of LLMs with other systems.
• Prompt Engineering: Skills in designing sequential tasks for LLMs to achieve efficient and accurate outputs.
• Agile Methodologies: Experience with agile software delivery and CI/CD processes.
• Education: Bachelor's or Master's degree in Computer Science, AI, Engineering, or a related field.
• Experience: At least 3 years of experience in data engineering and modeling.
• Technical Skills: Proficiency in Python, experience with LLM frameworks (e.g., LangChain), and familiarity with cloud computing platforms.
• Cloud Computing: Familiarity with cloud computing platforms, such as GCP, AWS, or Databricks.
• Problem-Solving: Strong problem-solving skills with the ability to work independently and collaboratively.
• Growth Potential: This role offers a clear path to advance into AI engineering, providing opportunities to work on innovative projects and develop new skills in AI transformation and machine learning..
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

Skills:

Compliance, Research, Automation

Job type:

Full-time

• DataOps, MLOps, and AIOpsDesign, build, and optimize scalable, secure, and efficient data pipelines for AI/ML workflows.
• Automate data ingestion, transformation, and deployment across AWS, GCP, and Azure.
• Implement MLOps and AIOps for model versioning, monitoring, and automated retraining.
• Ensure performance, security, scalability, and cost efficiency in AI lifecycle management.
• Performance Optimization & SecurityMonitor, troubleshoot, and optimize AI/ML pipelines and data workflows to enhance reliability.
• Implement data governance policies, security best practices, and compliance standards.
• Collaborate with cybersecurity teams to address vulnerabilities and ensure data protection.
• Data Engineering & System IntegrationDevelop and manage real-time and batch data pipelines to support AI-driven applications.
• Enable seamless integration of AI/ML solutions with enterprise systems, APIs, and external platforms.
• Ensure data consistency, quality, and lineage tracking across the AI/ML ecosystem.
• AI/ML Model Deployment & OptimizationDeploy and manage AI/ML models in production, ensuring accuracy, scalability, and efficiency.
• Automate model retraining, performance monitoring, and drift detection for continuous improvement.
• Optimize AI workloads for resource efficiency and cost-effectiveness on cloud platforms.
• Continuous Learning & InnovationStay updated on AI/ML advancements, cloud technologies, and big data innovations.
• Contribute to proof-of-concept projects, AI process improvements, and best practices.
• Participate in internal research, knowledge-sharing, and AI governance discussions.
• Cross-Functional Collaboration & Business UnderstandingWork with business teams to ensure AI models align with organizational objectives.
• Gain a basic understanding of how AI/ML supports predictive analytics, demand forecasting, automation, personalization, and content generation.
• Bachelor s degree in Computer Science, Data Engineering, Information Technology, or a related field. Advanced degrees or relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, Azure Data Engineer) are a plus.
• Experience:Minimum of 3-5 years experience in a data engineering or operations role, with a focus on DataOps, MLOps, or AIOps.
• Proven experience managing cloud platforms (AWS, GCP, and/or Azure) in a production environment.
• Hands-on experience with designing, operating, and optimizing data pipelines and AI/ML workflows.
• Technical Skills:Proficiency in scripting languages such as Python and Bash, along with experience using automation tools.
• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes) is desirable.
• Strong knowledge of data processing frameworks (e.g., Apache Spark) and data pipeline automation tools.
• Expertise in data warehouse solutions and emerging data lakehouse architectures.
• Experience with AWS technologies is a plus, especially AWS Redshift and AWS SageMaker, as well as similar tools on other cloud platforms.
• Understanding of machine learning model deployment and monitoring tools.

Experience:

3 years required

Skills:

ETL, Apache, Python, English

Job type:

Full-time

• Analyze and organize raw data.
• Combine raw information from different sources.
• Designing and building data models to support business requirements.
• Developing and maintaining data ingestion and processing systems.
• Implementing data storage solutions. (databases and data lakes).
• Ensuring data consistency and accuracy through data validation and cleansing techniques.
• Conduct complex data analysis and report on results.
• Explore ways to enhance data quality and reliability.
• Working together with cross-functional teams to identify and address data-related issues.
• Writes unit/integration tests, contributes to engineering wiki, and documents work.
• Bachelor or Master Degree in Computer Science, Software Engineering, Computer Engineering ICT, IT or any related technical field.
• 2-5 years of experience as a data engineer or in a similar role.
• Experience with schema design and dimensional data modeling.
• Experience and knowledge in Python development.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Experience building and optimizing data pipelines, architectures and data sets.
• Experience designing, building, and maintaining data processing systems.
• Experience with orchestration tools e.g. batch and real-time data processing.
• Experience with CICD pipeline data.
• Experience with big data.
• Familiarity with data integration and ETL tools.
• Strong problem-solving and analytical skills.
• Able to speak Thai fluently and basic command in English.

Skills:

Python, SQL, Analytical Thinking, English

Job type:

Full-time

• 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.
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

Experience:

2 years required

Skills:

Research, Python, SQL

Job type:

Full-time

• Develop machine learning models such as credit model, income estimation model and fraud model.
• Research on cutting-edge technology to enhance existing model performance.
• Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
• Develop sentimental analysis model in order to support collection strategy.
• Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
• 2-5 years of experiences in programming languages such as Python, SQL or Scala.
• 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
• Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
• Experience with source version control (Git, Bitbucket).
• Proven knowledge on Rest API, Docker, Google Big Query, VScode.
• Strong analytical skills and data-driven thinking.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Nice to have.
• Experience in image processing or natural language processing (NLP).
• Solid understanding in collection model.
• Familiar with MLOps concepts.

Skills:

Data Analysis, Industrial Engineering, Finance

Job type:

Full-time

• Insight Generation & Strategic Recommendations: Utilize deep knowledge of market trends, financial data, and process standards to generate actionable insights. Develop analysis models and provide strategic recommendations that drive business decisions and improvements in operations efficiency.
• Business Analysis & Reporting: Collaborate with senior management to analyze internal and external data sources. Develop comprehensive reports and presentations that support key initiatives and guide the business in trial projects and rollouts.
• Model Development & Data Integrity: Develop and maintain robust analytical models that support business analysis. Ensure data integrity and create best-practice reports based on thorough data analysis and visualization.
• Stakeholder Collaboration & Facilitation: Lead and facilitate collaboration across the business, ensuring alignment and engagement among stakeholders. Work closely with process and budget owners to achieve business objectives and implement strategic recommendations.
• Project Tracking & Risk Mitigation: Regularly monitor and update project progress, ensuring milestones are met. Develop and execute mitigation plans for any critical issues, ensuring the successful delivery of projects.
• Consultation & End-User Support: Provide initial consultation and tailored solutions to stakeholders based on business analysis. Occasionally develop dashboards and train end users to ensure effective use of insights and tools.
• 2-5 years+ working experience in Data Analytics, Process Improvement.
• Master's Degree in Industrial Engineering, Supply Chain, Finance, IT or related field.
• Knowledge of basic statistical techniques for hypothesis testing or prediction (Correlation, Regression, etc.).
• Skilled in process improvement, project management, and data analysis.
• Ability to use data and metrics to test theories, back up assumptions, develop business cases, complete root cause analysis and measure success.
• Ability to work independently and under pressure with business-partnering mindset.
• Good presentation, communication and influencing skills.
• Able to work 2 sites' office ( Head office - Phattanakarn, and Central office - Nawamin office).
• 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. .

Skills:

Data Analysis, Finance, SQL, 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 creation: Create data analytic model including both deterministic and machine learning model.
• AI vendors coordination: 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 and 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.
• Master's degree in Finance, Business, Engineering, or a related field.
• Strong business acumen, with a deep understanding of retail and wholesale business.
• 3+ 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 Visualisation (Tableau, PowerBI) is a plus.
• Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.
• Fluent in Thai and English.
• Having a good attitude toward teamwork and willing to work hard.
• 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. .

Skills:

Python, Power BI, Data Analysis

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, Data Scientist and other relate filed.
• Have experience in System Analysis, Data Analysis, Supply Chain Analysis for 2-5 Years.
• Have experience in Retail / FMCG business would be advantage.
• Excellent for Excel, Power BI, Python.
• Good Analytic skills.

Skills:

Market Research, Research, Financial Modeling, English

Job type:

Full-time

• Conduct market research and analysis to identify emerging trends, competitive landscapes, and growth opportunities within target markets.
• Analyze industry data, customer insights, and market dynamics to assess market size, segmentation, and potential market penetration strategies.
• Evaluate potential business opportunities, partnerships, and investments through financial modeling, feasibility studies, and risk assessments.
• Collaborate with sales, marketing, and product teams to develop go-to-market strategies and sales enablement initiatives for new business initiatives.
• Support the development of business cases, proposals, and presentations to stakeholders, including senior management, investors, and partners.
• Perform competitive analysis and benchmarking to identify key competitors, market positioning, and differentiation strategies.
• Monitor key performance indicators (KPIs), metrics, and milestones to track the progress and success of team initiatives.
• Bachelor's degree or higher in Business Administration, Finance, Economics, or related field.
• Proven at least 5 years of experience as a Business Analyst, Strategy Consultant, or similar role.
• Strong analytical skills with proficiency in market research and business modeling.
• Experience with analysis tools such as Excel, Power BI, Tableau.
• Excellent communication and presentation skills, with the ability to distill complex concepts into clear and compelling narratives.
• Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.
• Good command in English.

Skills:

ETL, Big Data, SQL

Job type:

Full-time

• Design and develop ETL solutions using data integration tools for interfacing between source application and the Enterprise Data Warehouse.
• Experience with Big Data or data warehouse.
• Analyze & translate functional specifications & change requests into technical specifications.
• Experience in SQL programming in one of these RDBMSs such as Oracle.
• Develops ETL technical specifications, designs, develops, tests, implements, and supports optimal data solutions.
• Develops Documents ETL data mappings, data dictionaries, processes, programs and solutions as per established standards for data governance.
• Design and create codes for all related data extraction, transformation and loading (ETL) into database under responsibilities.
• Creates, executes, and documents unit test plans for ETL and data integration processes and programs.
• Perform problem assessment, resolution and documentation in existing ETL packages, mapping and workflows in production.
• Performance tuning of the ETL process and SQL queries and recommend and implement ETL and query tuning techniques.
• Qualifications Bachelor s degree in Information Technology, Computer Science, Computer Engineering, or a related field.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) and automation frameworks.
• Proficiency in cloud platforms such as AWS, Azure, and associated services.
• Knowledge of IAC tools like Terraform or Azure ARM.
• Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, APM, etc.
• Good understanding of IT Operations.
• Strong problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication and teamwork skills to collaborate effectively across various teams.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

Job type:

Full-time

• Lazada s strong performance led to the acquisition of a majority stake by Alibaba Group in April 2016. Given our tremendous growth, we are searching for dynamic, entrepreneurial, broad-minded individuals to be part of our rapidly expanding team! Join our diverse and motivated team to hone in on your creativity as well as implement new initiatives within a nurturing, equal opportunity environment!.
• Lazada Thailand employs over 850+ professionals and has won many awards namely for Top Marketplace from Priceza and People's Choice 2017..
• Job Scope.
• ꔷ Analyze and interpret complex data sets to uncover insights and trends that drive business strategy and decision making.
• ꔷ Data extraction via SQL for analysis and reporting purpose, ensuring data quality and accuracy.
• ꔷ Design and maintain dashboards, reports, and visualizations using tools to communicate insights effectively.
• ꔷ Participate in data governance initiatives, ensuring compliance with data privacy and security regulations.
• ꔷ Collaborate with cross-functional teams to consolidate and track progress of business actions, as well as ensuring delivery of reports and insights.
• ꔷ Maintain in-house data and documentation portals, ensuring data quality and up-to-date information & reports.
• ꔷ Stay updated with industry trends and new technologies to enhance data analytics capabilities..
• ꔷ Bachelor's/Master's Degree, preferably in MBA, Management, Business Analytics, Statistics, Mathematics.
• ꔷ Strong analytical and problem-solving skills, with ability to breakdown complex problems into simpler pieces.
• ꔷ Effective communicator with excellent presentation skills.
• ꔷ Self-motivated, strong ownership and strong team management skills.
• ꔷ Prior knowledge & experience on working with SQL is desirable, and at least one data visualization tool (e.g., Tableau, Power BI).
• ꔷ At least 2-3 years of work experience in analytics, consulting, or other quantitative position would be highly preferred.
• ꔷ Able to communicate in Chinese would be additional advantage.

Skills:

Business Development, Data Analysis, SQL

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:

Excel, Power point, Power BI, English

Job type:

Full-time

• Bachelor's degree in IT, Supply Chain or any related fields.
• At least 5 years experienced in DC, Warehouse, Supply Chain and Logistics.
• Strong Analytical skills.
• Advance Excel/ Power Point.
• Power BI is preferred.
• SQL/ Python is preferred.
• Good command in English.

Job type:

Full-time

• Analyze client business processes and value chains, and benchmark client performance against data & AI leaders to identify opportunities to drive business value.
• Lead and contribute to the development of AI strategy and roadmap, including use case identification, business case development, and prioritization.
• Design the target operating model for Data & AI Center of Excellence.
• Conduct capabilities assessments regarding data & AI readiness and maturity.
• Collaborating with industry experts and client stakeholders to define benchmark-informed KPIs and success metrics.
• Creating executive-level deliverables including vision statements, maturity assessments, and transformation blueprints.
• 2-5 years of experience in business or technology strategy.
• Business case development.
• Operating model design.
• Capabilities- & Maturity Assessment.
• Strong client-facing skills, structured thinking, presentation skills and ability to drive workstream independently.
• Foundational understanding of how Data & AI helps address key business pain points regardless of industry.
• Experience in agri-business, supply chain, or industrial operations is highly desirable.
• Experience in a previous high impact strategy consulting role is highly desirable.
• This role is open for both Thai Nationals and Foreigners residing in Thailand.

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.

Skills:

Compliance, Risk Management

Job type:

Full-time

• Develop & Implement Data Governance Framework - Establish policies, standards, and best practices for data management.
• Ensure Data Quality & Integrity - Monitor and improve data accuracy, consistency, and completeness.
• Regulatory Compliance & Risk Management - Ensure adherence to data privacy laws (e.g., PDPA, GDPR) and mitigate risks.
• Define Data Ownership & Stewardship - Assign roles and responsibilities for data management across the organization.
• Manage Data Lineage & Metadata - Maintain a data catalog, track data sources, and ensure proper documentation.
• Gather & Translate Business Requirements - Convert business needs into technical specifications for development teams.
• Document functional and non-functional requirements for data and technology projects.
• System & Process Improvement - Identify gaps in existing systems and workflows and recommend improvements.
• Stakeholder Communication - Act as a bridge between business users and IT teams, simplifying complex technical concepts.
• Compliance & Security Considerations - Ensure data solutions align with governance policies and regulatory requirements.
• Bachelor s or Master s degree in Data Science, Information Management, Computer Science, Business Administration, or a related field.
• Certifications in Data Governance (e.g., DAMA CDMP), Data Privacy (e.g., CIPP/E, CIPM), or Risk Management are a plus.
• Experience in data governance, data management, or related fields.
• Skills in a leadership or managerial role, overseeing data governance initiatives.
• Proven track record in developing and implementing data governance frameworks, policies, and standards.
• Hands-on experience in data quality management, metadata management, and data lineage tracking.
• Strong background in regulatory compliance (e.g., PDPA, GDPR, CCPA) and risk management.

Skills:

Statistics

Job type:

Full-time

• Lead the development of data solutions and delivering customer and business insights to identify business opportunities or resolve business challenges.
• Translate business problem statements into analysis requirements and work with BUs to define best business outcomes.
• Manage projects, outcomes, resources, proposed proposals or opportunities, and overall execution of the corporate exercises, to ensure effective alignment with organization objectives.
• Advise and provide recommendation on project feasibility studies and project planning, to ensure projects achievement and minimize risks.
• Coordinate with related team and functions to create mutual understanding on expectations, processes, standards, and solutions for corporate strategy activities.
• Bachelors or Masters in Data Analytics, Statistics, Computer Science, Communications or related fields.
• Experience in a major financial with large-scale data or similar program management experience.
• At least 5 years in a management role, with board level change or transformation leadership experience.
• Advanced communications, marketing, or journalism experience.
• Good experience using business intelligence tools and data visualization best practices.
• Strong storytelling and communication skills.
• Strong analytical and problem-solving skills.
• Familiarity with data validation tools.