What Jobs are available for Data Visualization in Thailand?

Role Overview

Responsible for analyzing, managing, and presenting business data to support decision-making across House Brands and Partnership Programs. This role combines analytical skill, business understanding, and technical capability to transform raw data into strategic insights that drive growth and efficiency. Works closely with Product Manager and E-commerce Manager to align data strategy with business goals and optimize performance across digital platforms.

Data Analysis & Insight Generation

• Collect, clean, and analyze data from multiple sources (sales, campaigns, content performance, and operations).
• Identify business trends, opportunities, and performance gaps.
• Provide actionable insights and recommendations to management and cross-functional teams.

Business Reporting & Visualization

• Develop dashboards and visualization reports (Power BI, Tableau, Looker Studio, or equivalent).
• Present data findings clearly to non-technical audiences, including leadership and brand teams.
• Ensure all reports are updated, accurate, and aligned with business KPIs.

Collaboration with Brands & Partnerships

• Support House Brand and Partner Brand teams with data-driven insights for campaign planning and performance tracking.
• Coordinate with marketing and commerce teams to optimize sales funnel and product performance.
• Translate business needs into data requirements and performance indicators.

Data Tools & Automation

• Maintain and update internal tools or dashboards used for data monitoring.
• Work with IT or developers to improve automation and data visualization tools.
• Ensure consistency of data pipelines and report generation processes.

Data Warehouse & System Management

• Assist in setting up and maintaining the Data Warehouse structure.
• Define data flow processes between e-commerce, CRM, and marketing systems.
• Support team training and documentation on how to access and utilize data.

Qualifications

• Bachelor's degree or higher in Business Administration, Statistics, Economics, Data Science, Computer Science, or a related field.
• Minimum 2-4 years of experience in business intelligence, data analytics, or commercial insights roles.
• Proficient in data visualization tools such as Power BI, Tableau, or Looker Studio.
• Strong knowledge of Excel, SQL, and data manipulation techniques.
• Familiar with data warehouse concepts, CRM, and marketing analytics tools.
• Understanding of key business KPIs related to sales, marketing, and e-commerce.
• Strong collaboration skills to work effectively with cross-functional teams such as Marketing, Product, and E-commerce.

Roles & Responsibilities:

Business Intelligence Analyst will be a member of the Analytics & Insights team across the entire region. This exciting new role is a hybrid of retail strategy and data analytics.

• Support and manage the Key Strategic Initiatives; in conceptualizing the end-to-end analysis using both internal and external data to provide actionable insights that translate into better business decisions.
• Develop and train the BI/Analytics team to create meaningful data analytic solutions such as story & visualizations, dashboards, proactive alerts, and customized data-driven improvement projects.
• Assist in crafting reports and presentations for management with clear problem statement, analytical approach, insights/findings, and potential actions for improvement.
• Have the aptitude to validate insights and integrate tacit knowledge of key stakeholders into the analytics process. Have a clear understanding or how to gather and blend internal and external data to create new or meaningful insights.
• Ability to go beyond just delivering insights and be part of the process to drive stakeholders towards the right actions via data, as well as track the outcomes together with stakeholders for continuous improvement.
• Plan & execute structured change program and build a data-first-culture across the entire organization.

Qualifications :

• Bachelors degree in Business Analytics, Computer Science, MBA, or relevant
• 1-5 years of analytics and business improvement experience, preferably for a large retailer.
• Prior experience in the following - customer loyalty, merchandizing, pricing & promotions, product optimization and supply-chain.
• Excellent communications skills. Able to breakdown the data & insights into compelling stories that resonate with stakeholders.
• Able to understand the business context quickly and scope an analytics activity with clear objectives and desired outcomes.
• Willingness to learn and master different types of business functions within retail group.
• Good communicate in English
• Able to travel or work out site.

Job Description

• Designing and developing interactive dashboards and reports ensuring data visibility for all teams
• Collaborating with stakeholders to understand data needs
• Integrate data and perform ad-hoc analysis
• Create KPIs measurement dashboard/tracker
• Conduct business analytical report to answer business question
• Conduct deeper analysis to answer business question
• Monitor overall performance across team

Qualifications

• Bachelor's Degree in Computer Science, Information Technology, or Business Administration
• Strong analytical skills
• Proficiency in DAX, SQL, and other analytical tools
• Expertise in Power BI tools
• High attention to detail
• Minimum of 2-7 years in Data Science (DS) or Data Analytics (DA)
• Minimum of 2 years in Logistics

About The Team
The
Business Intelligence (BI)
department is vital for transforming raw data into actionable insights that drive strategic business decisions. BI teams engage in strategic collaboration and consulting, working with stakeholders to define problems and provide data-driven recommendations.

The department's core functions include
data analysis and reporting
, using tools like
SQL, Python, and Excel
to provide clear, business-focused reports. They also focus on
operational and process optimization
, developing tools and automation to improve efficiency. Additionally, they perform
ecosystem monitoring and optimization
by proactively analyzing key areas like customer and seller performance to facilitate high-impact business changes.

By integrating these functions, the BI department ensures the organization operates with data-informed precision, leading to improved efficiency and sustained growth.

Job Description

• Conduct analysis of internal and external data, utilizing SQL, Python, and Excel.
• Translate complex data analyses into accessible, business-focused reports to deliver actionable insights and recommendations to senior management.
• Develop, maintain, and automate dashboards, reports, and visualizations to support strategic decision-making.
• Serve as a consultant to cross-functional teams, collaborating to identify business challenges and enhance analytical capabilities.
• Review and optimize data systems and processes to ensure data integrity and operational efficiency.

Requirements

• Bachelor's or Master's degree in a relevant field.
• Advanced proficiency in SQL and Excel (Python is a plus)
• Fresh Graduate is preferred
• Fluency in English.

Submitting your resume today will ensure you're among the first to be notified when a suitable opportunity arises.

Job Description

• Developing reports, dashboards, analysis and some automations (will be generally with SQL, PYTHON, EXCEL, in-House tools)
• Assisting the various business units as a discussion partner to plan, strategise, and grow business by enabling data-driven decision-making
• Serving as in-consultant who simplifies complex terminologies into more understandable insights to our internal clients
• Producing actionable insights that will be used to support or devise new strategies

Requirements

• Master's or bachelor's degree in quantitative fields or a relevant field (e.g. Data Science/Computer Science) of study
• 1-3 years experience in Data Analyst field
• Experience using SQL languages for querying (Python is a plus)
• Experience working with multiple stakeholders across various divisions
• Ability to make inferences from data and devise an appropriate course of actions
• Time management to deliver deadlines
• Satisfactory understanding of English
• Comfortable working with large data sets and numbers
• Self-starter with a can-do attitude

Job Description

• Develop comprehensive SQL queries to support ad hoc reporting, dashboard creation, and data analysis for various business units
• Gather and refine data requirements from business users and management to support ongoing and project-based initiatives
• Design and maintain ETL pipelines to automate reports and dashboards on the in-house data platform
• Collaborate with local and regional teams to align on data sources, business definitions, and functional logic updates
• Perform quantitative analysis using statistical techniques to uncover insights to drive business decisions and strategy
• Provide data-driven support for consumer campaign and other cross-functional business activities

Requirements

• Bachelor's or Master's degree, preferably in Analytics, Statistics, Computer Science, or Engineering
• 1 – 2 years of experience in an Analytics, Business Intelligence, or Data Engineering role working with large-scale, complex datasets
• Proficient in SQL for data manipulation and transformation; experienced in data visualization
• Proficient in Python with working knowledge of machine learning and practical project experience
• Able to deliver actionable insights, communicate clearly with both technical and non-technical audiences, and work independently or in teams
• Strong analytical thinking, attention to detail, and a creative approach to solving complex problems

Role and Responsibilities

• Design, develop, and maintain monitoring dashboards that are user-friendly, up-to-date, and aligned with stakeholder requirements.
• Visualize data and perform in-depth analysis to support decision-making and insight interpretation.
• Automate and deliver accurate regulatory reports in compliance with industry standards and timelines.
• Design and deploy datamarts with optimal data pipeline integration to consolidate and structure data based on business requirements
• Communicate with business to translate business challenge into actionable analytical solution.
• Reconcile data from multiple sources and validate data for improving data quality

Qualifications

• 0 to 3 years of professional experience as a Business Intelligence/Data Analyst
• Proficiency in Python, PySpark, and SQL for large-scale data processing.
• Good understanding and hand-on experience in building dashboard (Power BI, Tableau, Databricks, or similar tools), performing data analysis, and deploying datamart.
• Strong analytical and problem-solving skills
• Good communication and interpersonal skills to effectively interact with cross-functional team

Preferred Skills

• Solid understanding of financial industry
• Comprehensive knowledge of advanced statistical methods
• Exceptional coding skills or a background in software development
• Ability to articulate complex concepts effectively to a non-technical audience
• Strong sense of responsibility and teamwork

Develop, maintain, and optimize dashboards, reports, and visual analytics using BI tools such as Tableau or equivalent.

Partner with business stakeholders to translate data needs into technical specifications and reporting logic.

Define and maintain standardized metrics and KPIs across domains (e.g., product, marketing, operations).

Write efficient SQL queries and collaborate with data engineers on data models and semantic layers.

Enable and support self-service analytics by building curated datasets and reusable components.

Ensure data accuracy, consistency, and security in BI assets.

Qualifications.

Bachelor s degree in Information Technology, Computer Engineering, Computer Science, Business Analytics, or related field.

3+ years of experience in BI/report development or analytics engineering, fresh graduate with strong potential will also be considered.

Proficient in SQL and one or more BI tools (e.g., Tableau, Power BI, Looker, Superset).

Familiarity with data modeling concepts (e.g., star/snowflake schema, dimensional modeling).

Comfortable working with large datasets and cross-functional teams.

Strong attention to detail and a passion for turning data into actionable insights.

Nice to Have.

Experience with modern data stacks (e.g., dbt, Airflow, cloud warehouses).

Knowledge of version control tools (e.g., Git) and CI/CD concepts for BI assets.

Exposure to big data environments like Cloudera and Databricks.

Job skills required: SQL, Tableau, Power BI

Job skills preferred: Big Data, Git

About the Role

We're looking for a detail-oriented and business-savvy BI Engineer to join our growing data team. In this role, you'll collaborate with stakeholders across the organization to build trusted, insightful, and scalable reporting solutions that drive data-informed decision-making.

As a BI Engineer, you will transform complex data into clear visual stories, standardize KPIs, and help scale our self-service analytics capabilities.

Key Responsibilities

• Develop, maintain, and optimize dashboards, reports, and visual analytics using BI tools such as Tableau or equivalent
• Partner with business stakeholders to translate data needs into technical specifications and reporting logic
• Define and maintain standardized metrics and KPIs across domains (e.g., product, marketing, operations)
• Write efficient SQL queries and collaborate with data engineers on data models and semantic layers
• Enable and support self-service analytics by building curated datasets and reusable components
• Ensure data accuracy, consistency, and security in BI assets

Qualifications

• Bachelor's degree in Information Technology, Computer Engineering, Computer Science, Business Analytics, or related field
• 3+ years of experience in BI/report development or analytics engineering, fresh graduate with strong potential will also be considered.
• Proficient in SQL and one or more BI tools (e.g., Tableau, Power BI, Looker, Superset)
• Familiarity with data modeling concepts (e.g., star/snowflake schema, dimensional modeling)
• Comfortable working with large datasets and cross-functional teams
• Strong attention to detail and a passion for turning data into actionable insights

Nice to Have

• Experience with modern data stacks (e.g., dbt, Airflow, cloud warehouses)
• Knowledge of version control tools (e.g., Git) and CI/CD concepts for BI assets
• Exposure to big data environments like Cloudera and Databricks