272 Data Analyst jobs in Kuala Lumpur

PRISM+ is the largest Singaporean direct-to-consumer smart home appliances brand. Our mission is to offer cutting-edge products to the masses at affordable prices. We are a rapidly growing, ever-evolving organization, and we are seeking new teammates to join us on our exciting journey.

We are seeking a skilled and motivated Business Data Analyst to join our dynamic team. As a key member of our data analytics department, you will play a crucial role in extracting insights from large volumes of data, driving data-driven decision-making, and contributing to strategic initiatives across multiple countries (MY/AU/PH/SG). The successful candidate will be responsible for data visualization, resolving data quality issues, implementing data automation solutions, automating report generation, and incorporating artificial intelligence into workflows and staying up to date with the current technologies. Your expertise will be pivotal in automation processes, generating actionable insights, and effectively communicating findings through presentations.

• Collect, verify, and enter data from various internal systems (e.g., sales platforms, inventory systems, CRM)
• Support product upload and update workflows in coordination with merchandising or marketing teams.
• Maintain accuracy of key datasets including product listings, pricing, SKU performance, and channel-specific data
• Design, build, and maintain performance dashboards and reports across all departments.
• Consolidate and analyze data from e-commerce (Shopee, Lazada, Shopify, TikTok Shop) and retail channels.
• Automate recurring reports and streamline manual data workflows.
• Perform in-depth analyses of customer behavior, product sales, campaign ROI, and operations.
• Develop forecasts for sales, inventory, and marketing performance using historical and predictive models.
• Translate insights into business recommendations to improve efficiency and growth.
• Ensure data quality, consistency, and accuracy across systems and platforms.
• Support ETL processes and collaborate with data engineers on scalable pipelines.
• Document data sources, definitions, and standard operating procedures.
• Partner with marketing, finance, product, and operations to align data efforts with business goals.
• Help define KPIs and success metrics at both campaign and strategic levels.

• Bachelor’s degree in Data Science, Business Analytics or a related field.
• Proven experience in Data Analysis, Data Visualization, and Data Automation.
• Proficiency in Data Analysis tools and languages such as SQL, Python, JavaScript and visualization tools like Tableau.
• Strong understanding of statistical methods and predictive modeling techniques and Artificial intelligence implementations.
• Strong analytical mindset with a passion for data-driven decision-making.
• Excellent problem-solving skills and attention to detail.
• Excellent communication and presentation skills.
• Ability to work collaboratively in a team environment.
• Self-motivated with a proactive approach to identifying opportunities to improve workflows.

• Competitive Salary with great commission earning potential.
• Annual outpatient benefit (Includes dental and optical benefits)
• Birthday leave
• Annual increment
• Performance bonus

• Work with Data: Responsible for querying, and analyzing large datasets, and creation or fixing of data pipelines and dashboards to meet business needs.
• Collaborate with Business Teams: Partner with business teams to understand challenges, contribute to analytics frameworks, and help translate business questions into technical tasks.
• Statistical Analysis: Assist in in-depth analysis using methods like A/B testing, regression, penetration, benchmarking, projection, assist in evaluating model performance, and interpret data to provide actionable insights.
• Data Integrity: Ensure data integrity and accuracy by implementing best practices in data management and governance.
• Project / Study: Engage in end-to-end in-depth analyses or projects, and provide actionable next steps to address business challenges.
  
  

• Bachelor’s degree in Analytics, Data Science, Computer Science, Engineering, Actuarial Science or related fields.
• Advanced level of SQL, strong knowledge in data granularity and data principles
• Strong interpretation of large and intricate dataset (millions to billions rows).
• Strong analytical and problem-solving skills.
• Strong communication & collaboration skills.
• Strong business acumen in finance, marketing, business development, operations or related.
• Able to work in a fast-paced and dynamic environment independently.
  
  

• Knowledge in R or Python
• Experience in the e-commerce/ food delivery industry

Overview

Data Analyst - SG Business Intelligence (Open for fresh graduates) – Shopee Kuala Lumpur, Kuala Lumpur, Malaysia

• Partner with business teams (Business Development, Marketing & Operations) to provide insights to support data-driven decision making strategy
• Provide solid technical supporting on automation and business projects. Automate manual reporting process by VBA/Python/SQL
• Lead cross-functional teams’ data analytics projects
• Monitor and optimise reporting flow from back-end to front-end
• Solve complex data projects by using variable algorithms and use data visualisations effectively with the aim of gaining insights and making decisions
• Perform data cleaning and utilise data analytics to translate complex questions via insights into solutions to support business decisions

• Bachelor’s/ Master’s Degree, preferably in data analytics, statistics, information systems or any other quantitative discipline
• Proven technical skills in Python, SQL, VBA, Excel, Google Sheets, Tableau etc
• Experience in data analysis preferred
• Able to pay attention to detail and rely on data
• Able to story tell and transform numbers into key insights that drives business decisions
• Able to communicate in a clear and succinct manner to stakeholders
• Able to identify root causes and solve challenges

• Entry level

• Full-time

• Strategy/Planning, Analyst, and Consulting
• Industries: Internet Marketplace Platforms and Technology, Information and Internet

Overview

Data Science and Analytics · Kuala Lumpur

About Wego: We’re on a mission to help people discover the real value of travel — to inspire, to give more reasons, to make it easy — for you to go. Our company was founded back in 2005, and since then, we’ve imagined and created some of the most well-loved products for travelers all around the world. Today, Wego is used by millions of people every month — people who travel for adventure, work, family, and for many other reasons. That’s why we work tirelessly to make your experience of planning & booking flights, hotels, and trips as seamless as possible.

The Role: As a Data Analyst, you will work on maintaining, exploring, and developing our core analytical datasets. You''ll perform ad-hoc analysis, create impactful data visualizations, and collaborate with stakeholders to support key business functions. Your role will include building aggregated tables, performing exploratory data analysis, and designing data models to provide both predictive and historical insights.

What you will be working on: You will be responsible for managing datasets, creating visualizations, and collaborating on project requirements with stakeholders. Your work will include everything from exploring data to developing efficient and meaningful visualizations via BI tools to ensure data-driven insights are readily available and actionable.

Core Responsibilities:

• Data Exploration and Development: Manage core analytical datasets, assist in data investigation, and build additional aggregated tables and data layers to support visualization needs.
• Data Analysis: Conduct exploratory and ad-hoc analysis, providing stakeholders with insights in various formats, including dashboards and presentations.
• Project Management: Collaborate with stakeholders to document requirements, plan and manage project roadmaps, and create data visualizations that effectively communicate data insights.

Skills and experience:

Minimum Experience:

• Degree in computer science, statistics, economics, engineering, or a related field.
• 2+ years of experience working with data at an intermediate/advanced level.
• Proficiency in building complex data visualizations with BI tools (Looker, Tableau, PowerBI, etc.).
• Strong SQL skills, including analytical SQL and DDL.
• Experience with stakeholder management and requirements gathering.
• Familiarity with cloud-based data solutions (e.g., Google Cloud, AWS, Snowflake).

Nice to haves:

• Experience in consumer-facing or e-commerce data, especially within travel or cashback sectors.
• Experience with user event data, product performance analysis, and complex analyses (CAC/LTV, cohort calculations, etc.).
• Background or interest in Python, scheduling tools (e.g., Airflow), or version control (e.g., Git).
• Any background in data engineering is a plus but not required.

Contact: Ali Memar – Talent Partner – People

Overview

We’re hiring Data Analyst for a 6-month extendable contract position for our client in Kuala Lumpur, Malaysia.

Mode: Hybrid

Employment Type: Contract for 6 months

Please note that , in line with client requirements for language proficiency, this role is open to candidates from Malaysia.

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows using GCP (Big Query, Dataflow, Pub/Sub, Cloud Composer).
• Translate client requirements into well-architected data solutions in collaboration with the Technical Lead.
• Ensure data security, access control, and compliance with organizational and client policies.
• Create and maintain technical documentation on data architecture, workflows, and procedures.
• Define and enforce coding standards, data modelling best practices, and operational excellence.
• Monitor, troubleshoot, and optimize pipelines for performance, reliability, and cost-efficiency.
• Investigate and resolve issues related to data quality, pipeline failures, and system performance.
• Enhance automation to reduce manual processes and support enterprise data warehouse (Big Query) evolution.
• Communicate technical challenges and solutions effectively to technical and non-technical stakeholders.
• Support cross-functional teams in troubleshooting and reconciling data issues.

• 1–3 years of experience in data engineering or related field with hands-on ETL/ELT pipeline development.
• Proficiency in Python, SQL, and familiarity with frameworks (Apache Beam, Airflow, DBT).
• Experience with data warehouse architecture and dimensional modelling.
• Knowledge of data security, IAM, encryption, and cloud compliance.
• Familiarity with CI/CD, Git, and infrastructure as code.
• Strong troubleshooting, root cause analysis, and problem-solving skills.
• Effective communication and teamwork in cross-functional environments.

If this sounds like a good fit, please share your updated CV and let me know a suitable time for a quick discussion. Referrals are also welcome!

• Information Technology

• IT Services and IT Consulting

Overview

Data Analyst role at Wego.com in Kuala Lumpur, Malaysia.

Join to apply for the Data Analyst role at Wego.com.

We’re on a mission to help people discover the real value of travel — to inspire, to give more reasons, to make it easy — for you to go. Our company was founded back in 2005, and since then, we’ve imagined and created some of the most well-loved products for travelers all around the world. Today, Wego is used by millions of people every month — people who travel for adventure, work, family, and for many other reasons. That’s why we work tirelessly to make your experience of planning & booking flights, hotels, and trips as seamless as possible.

As a Data Analyst, you will work on maintaining, exploring, and developing our core analytical datasets. You'll perform ad-hoc analysis, create impactful data visualizations, and collaborate with stakeholders to support key business functions. Your role will include building aggregated tables, performing exploratory data analysis, and designing data models to provide both predictive and historical insights.

You will be responsible for managing datasets, creating visualizations, and collaborating on project requirements with stakeholders. Your work will include exploring data to develop efficient and meaningful visualizations via BI tools to ensure data-driven insights are readily available and actionable.

• Data Exploration and Development: Manage core analytical datasets, assist in data investigation, and build additional aggregated tables and data layers to support visualization needs.
• Data Analysis: Conduct exploratory and ad-hoc analysis, providing stakeholders with insights in dashboards and presentations.
• Project Management: Collaborate with stakeholders to document requirements, plan and manage project roadmaps, and create data visualizations that effectively communicate data insights.

Minimum Experience:

• Degree in computer science, statistics, economics, engineering, or a related field.
• 2+ years of experience working with data at an intermediate/advanced level.
• Proficiency in building complex data visualizations with BI tools (Looker, Tableau, PowerBI, etc.).
• Strong SQL skills, including analytical SQL and DDL.
• Experience with stakeholder management and requirements gathering.
• Familiarity with cloud-based data solutions (e.g., Google Cloud, AWS, Snowflake).

• Experience in consumer-facing or e-commerce data, especially within travel or cashback sectors.
• Experience with user event data, product performance analysis, and complex analyses (CAC/LTV, cohort calculations, etc.).
• Background or interest in Python, scheduling tools (e.g., Airflow), or version control (e.g., Git).
• Any background in data engineering is a plus but not required.

• Entry level

• Full-time

• Information Technology

• Travel Arrangements