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Job type:

Full-time

• 1) Use social media listening tools to monitor and analyze brand mentions, consumer sentiment.
• 2) Conduct research studies using social media data to understand consumer behavior, competitor activities, and emerging trends.
• 3) Develop dashboards and reports to visualize social media insights & 1st party data.
• 4) Leveraging 1st party data through personalize marketing communication/quick surveys.
• 5) Perform other related duties as assigned.
• 1) Minimum Education bachelor s in business/marketing/ marketing research/data science/ communication related fields.
• 2) 3-5 years in social media analytics, market research, or consumer insights.
• 3) Hands-on experience with social media listening tools (e.g., Wisesight, Zanroo, Brandwatch, Talkwalker, Sprinklr, Meltwater).
• 4) Experience in consumer market insights or research is a plus.
• 5) Strong analytical and problem-solving skills.
• 6) Good communication skills (in Thai and English.)
• 7) Proficiency in a Social Media Listening tool
• 8) Proficiency in Excel
• 9) Experience with data visualization tools (Power BI, Tableau, Google Data Studio)
• 10) Knowledge of CRM loyalty programs, or customer data platforms (CDP)
• 11) Proficiency in Google Analytics, and basic SQL knowledge, Python, R is a plus.
• 12) Experience with data privacy (PDPA, GDPR) compliance is a plus.
• 13) Knowledge of FMCG, digital marketing, e-commerce is a plus.

Experience:

4 years required

Skills:

Finance, Accounting, Business Development

Job type:

Full-time

• Act as internal consultant to support strategy development and lead execution of key strategic projects.
• Take ownership of new partnership development, identify, develop and execute plan to align with company strategy.
• Work with head of department to plan and allocate partnership budget across channels.
• Develops and maintains productive working relationships with team members.
• Tracking business performance and create monthly summary report.
• Bachelor s degree in finance, Accounting, Business, IT, Engineer or any related field.
• At least 4 years experience in Business development, Strategic Planning, Financial Planning or related field.
• Experience in consultancy companies Big4 is a plus.
• Customer orientation, self-driven, strong negotiation skills and excellent interpersonal.
• Creative problem solver.
• High proficiency with Microsoft Excel, PowerPoint, understanding of financial.
• report is a plus.
• Location: True Digital Park, Punnawithi.

Skills:

Product Owner, Scrum, Project Management

Job type:

Full-time

• Collaborating with prospective users and clients to understand and anticipate their needs and translate them into product requirements.
• Defining the vision for the product team and maintaining a cohesive vision throughout the process.
• Creating a product road map based on this vision.
• Managing the product backlog and prioritizing the tasks based on changing requirements.
• Overseeing all stages of product creation, including design and development.
• Monitoring and evaluating product progress at each stage of the process.
• Working with the product team and end-users to deliver updates and status reports.
• Participating in Scrum meetings and product sprints.
• Bachelor degree.
• At least 4 years of working experience.
• At least 2 years of working experience in Project Management.
• In-depth knowledge of Scrum and Agile Software Development Methodology.
• Working knowledge of product development architecture.
• Proficiency in the use of analytic tools and strong analytical thinking.
• Ability to prioritize effectively.
• Contact Information:-.
• Office of Human Capital.
• DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
• Lao Peng Nguan Building, Tower 1.
• 333 Vibhavadi Rangsit Road, Ladyao Subdistrict, Chatuchak District, Bangkok 10900.

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.

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:

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

• About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join UsCreation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every chall ...
• Minimum Qualifications-Bachelor degree or above, graduate degree is preferred, math, statistics, computer-related majors are preferred, strong capability of data analytics is required;-experience in research and analysis positions in consulting, e-commerce/ads is preferred. Preferred Qualifications-Outstanding reasoning capability and logic, with good problem solving methodologies, being able to independently output quality strategic solutions, strong learning and adaptive ability, strategic framework thinking, sensitivity and insight into the business;-Have some strategic thinking capacity, able to quickly understand the business and discover the connection between business and data performance;-Proficiency in SQL for data analysis, understanding of common statistical and analytical methods, and skills in BI visualization tools such as Tableau/Power BI is a plus;-Fast learner, passionate about participating in business, and able to adapt to high intensity and fast growth work environment.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.If you have any questions, please reach out to us at [email protected].

Skills:

Compliance, Legal, Risk Management

Job type:

Full-time

• Establish and maintain appropriate security measures for personal data protection to prevent unauthorized access, loss, alteration, or disclosure..
• Regularly review and update security measures to align with technological advancements and PDPA requirements..
• Ensure third-party vendors handling personal data comply with data protection regulations..
• Implement and oversee data retention and deletion processes per legal requirements..
• Develop a risk management system for PDPA compliance..
• Assess risks related to personal data processing, evaluate mitigation strategies, and audit IT systems for security compliance..
• Conduct periodic assessments of IT systems handling personal data..
• Evaluate the effectiveness of data protection measures in databases, applications, and information security frameworks..
• Bachelor s degree in Computer Science, IT Security, Management Information Systems, or a related field.
• 5-10 years of experience in Database Management, IT Security, or Data Privacy Compliance.
• Proficiency in database management (SQL Server, MySQL).
• Understanding of IT security, data governance or compliance frameworks.
• Location: BTS Ekkamai
• Working Day: Mon-Fri.

Skills:

Automation, Big Data, Accounting

Job type:

Full-time

• Oversee a Master Data specialist team that analyze and enrich master data elements and optimize the flow data between users and BUs.
• Serve as subject matter expert on Master Data Management for IT and Analytics initiatives.
• Be a Head of master data manages data governance and ensures data integrity by leading data management efforts across the company.
• Collaborate with IT to launch scalable and reliable data solutions, support system integration efforts, and create operational efficiencies through automation and process improvements.
• Oversee initiatives for improving data management process.
• Mentor and coach team members on data management methodologies.
• Evaluate the performance of data systems and seek ways to enhance them.
• Troubleshoot and authorize the maintenance of data-related problems.
• Support team members in their day-to-day duties.
• BS degree in any fields.
• Proven working experience as Big Data Analytics.
• Proven knowledge of Data analytics and Report.
• Advanced computer skills on MS Office, accounting software and databases.
• Ability to manipulate large amounts of data.
• Ability to direct and supervise.

Skills:

Compliance, Data Analysis, SQL

Job type:

Full-time

• Enforce enterprise data quality management framework.
• Develop data profiling and observe any trends or issues to raise with data stewards or senior management.
• Define data quality metrics requirements with Data Stewards (e.g. DQ dimensions, business rules, data quality index, reports) in compliance with Data Quality standards.
• Generate DQI dashboard based on the results.
• Consolidate DQI performance results on overall data health at an enterprise level.
• Coordinate remediation plans with Data Stewards.
• Monitor outcome of data quality improvement initiatives.
• Support business engagement on data quality improvement initiatives.
• Collaborate with DataX (Centralized Data Hub) Define data quality metrics requirements in compliance with data quality standards for data in SCB data zone.
• Monitor DQI performance results on overall data health for data in SCB data zone.
• Perform data quality profiling, issues investigation and remediation plan in SCB data zone.
• Consult on the escalation of data quality issues investigation and remediation to DataX Data Governance.
• Qualification Senior Bachelor s or master s degree in information systems, computer science, information technology or related discipline.
• Experience in data management e.g. data governance program implementation and data quality program implementation in banking or other industry.
• Experience in data analysis, data profiling, and communicating concepts and results to a variety of audiences.
• Experience in using data visualization or reporting tools i.e. Business Intelligence tool, Data Quality tool, or statistical package.
• Good knowledge of programming languages particularly in SQL and statistical knowledge.
• Good understanding of banking products, respective data domains, as well as relationships with system domains and banking data concepts with emphasis on metadata definitions (business and technical).
• Ability to absorb information and data from multiple sources, apply strong analytical skills, and provide thoughtful and strategic recommendations to deliver tangible business value.
• Ability to work on cross-functional units with excellent verbal & written communication skills.
• Junior Bachelor s degree in information systems, computer science, information technology or related discipline.
• Good knowledge of programming languages particularly in SQL and statistical knowledge.
• Experience in data analysis, data profiling, and communicating concepts and results to a variety of audiences.
• Experience in using data visualization or reporting tools i.e. Business Intelligence tool, Data Quality tool, or statistical package.
• 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

• 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:

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:

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.
• 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..
• 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:

Research, Automation, Statistics

Job type:

Full-time

• Work on Data Architecture. They use a systematic approach to plan, create, and maintain data architectures while also keeping it aligned with business requirements.
• Collect Data. Before initiating any work on the database, they have to obtain data from the right sources. After formulating a set of dataset processes, data engineers store optimized data.
• Conduct Research. Data engineers conduct research in the industry to address any issues that can arise while tackling a business problem.
• Automate Tasks. Data engineers dive into data and pinpoint tasks where manual participation can be eliminated with automation.
• Automate Tasks. Data engineers dive into data and pinpoint tasks where manual participation can be eliminated with automation.
• Bachelor Degree in IT, computer science, statistics, mathematics, business, or related field.
• Minimum of 3 years' experience in data engineer roles.
• Experience in the data analytics lifecycle including problem identification, measurement/matrix, exploratory data analysis and data insight presentation.
• Experience with data tools and languages like CLOUD, Python, Java similar.
• Experience with data processing, ETL and workflow and messaging queue like Kafka.
• Data Warehousing.
• Data Structure.
• ETL Tools Programming Languages (Python, Java, Pyspark).

Skills:

Research, Statistics, Python, English

Job type:

Full-time

• Apply statistical and machine learning methods to large, complex data sets to draw insights and provide actionable recommendations.
• Solve complex problems on both technical and business sides using advanced analytical methods.
• Work with Engineering teams to implement end-to-end process from model development to testing, validation, and deployment.
• Research and develop new quantitative models and frameworks to enhance the company s data science capability.
• Basic Qualifications Bachelor s degree in Engineering, Computer Science, Math, Physics, Statistics or other areas that are highly quantitative.
• Experience with statistical programming languages (e.g., Python, R, pandas) and database software (e.g., SQL, PySpark).
• Knowledge in statistics (e.g., hypothesis testing, regression) and machine learning.
• Strong analytical problem-solving capabilities.
• Preferred Qualifications Master s or PhD degree in a quantitative discipline.
• Experience applying machine learning and statistical methods to large datasets.
• Solid understanding of advanced statistics and machine learning practices.
• Experience in one or more specialized machine learning areas (e.g., NLP, deep learning, recommendation systems, reinforcement learning).
• Outstanding coding skills or software development background.
• Ability to think independently and communicate complex ideas to less technical persons.
• Excellent command of English in both verbal and written forms.
• 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

Greenline Synergy provides the Enterprise Data Management System to BDMS hospitals. It is the process of inventorying and governing your business's data and getting your organization onboard with the process. The services would be Enterprise Data Platform, Enterprise Data Warehouse, Analytics and Performance Report and Operational Statistic Report..

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:

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.