Kuala Lumpur, Malaysia
Actively hiring, first seen by us 4 days agoAnalyze structured and unstructured data to find trends and actionable insights
Write efficient, scalable SQL queries for data extraction and manipulation
Build dashboards and reports in Power BI or Tableau
Use Python for data cleaning, analysis and automating repeatable tasks
Identify and support automation and process improvements in analytics workflows
Analyze structured/unstructured data to identify trends, patterns, and actionable insights
Create efficient, scalable queries for data extraction and manipulation
Develop dashboards and reports using tools like Power BI or Tableau
Use Python for data cleaning, analysis, and automation of repeatable tasks
Identify and support automation opportunities and process improvements across analytics workflows
Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related field.
Experience with big data tools (e.g., Spark, Hadoop).
1-3 years of hands-on experience in data analysis, reporting, or business intelligence.
Understanding of data warehousing and version control systems (e.g., Git).
Proficiency in SQL and handling large datasets.
Familiarity with agile methodologies or collaboration tools (e.g., Jira, Confluence).
Required Skills - Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related field. - 1-3 years of hands-on experience in data analysis, reporting, or business intelligence.
With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.
In the employer’s words · Read in context
Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 4
Early. Similar jobs usually come down between day 5 and day 54.
At WPP Media, jobs usually come down by about day 26.
From 12,066 similar postings that came down, and 151 of WPP Media’s. Coming down is not always a hire.
42 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Overview of the Job WPP Media is seeking a proactive and analytically driven Executive with 1 to 3 years of relevant experience in SQL, data engineering, data visualization, cloud platforms, and Python. This role will support data engineering and reporting functions, facilitating cross-functional collaboration to drive impactful insights and smarter business decisions across the region. As part of the APAC Analytics & Insights Delivery team, you will work on high-impact projects for some of the world’s biggest brands. The role is based in Malaysia and aligned to our Asia Pacific Centre of Excellence.
- Cloud Tools: Work in cloud-based environments (AWS, GCP, or Azure) for scalable analytics and data management. - Python Scripting: Use Python for data cleaning, analysis, and automation of repeatable tasks. - Process Optimization: Identify and support automation opportunities and process improvements across analytics workflows.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP). - Intermediate Python for analytics and automation. - Strong analytical mindset, attention to detail, and effective communication skills.
- Data Exploration & Insight Generation: Analyze structured/unstructured data to identify trends, patterns, and actionable insights. - SQL Development: Create efficient, scalable queries for data extraction and manipulation. - Data Visualization: Develop dashboards and reports using tools like Power BI or Tableau to support business understanding.
- 1-3 years of hands-on experience in data analysis, reporting, or business intelligence. - Proficiency in SQL and handling large datasets. - Skilled in data visualization tools (e.g., Power BI, Tableau).
- Data Visualization: Develop dashboards and reports using tools like Power BI or Tableau to support business understanding. - Cloud Tools: Work in cloud-based environments (AWS, GCP, or Azure) for scalable analytics and data management. - Python Scripting: Use Python for data cleaning, analysis, and automation of repeatable tasks.
- Skilled in data visualization tools (e.g., Power BI, Tableau). - Familiarity with cloud platforms (e.g., AWS, Azure, GCP). - Intermediate Python for analytics and automation.
- Exposure to machine learning or predictive modelling. - Experience with big data tools (e.g., Spark, Hadoop). - Understanding of data warehousing and version control systems (e.g., Git).
- SQL Development: Create efficient, scalable queries for data extraction and manipulation. - Data Visualization: Develop dashboards and reports using tools like Power BI or Tableau to support business understanding. - Cloud Tools: Work in cloud-based environments (AWS, GCP, or Azure) for scalable analytics and data management.
- Proficiency in SQL and handling large datasets. - Skilled in data visualization tools (e.g., Power BI, Tableau). - Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
About WPP Media
WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.
WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.
For more information, visit wppmedia.com.
Overview of the Job
WPP Media is seeking a proactive and analytically driven Executive with 1 to 3 years of relevant experience in SQL, data engineering, data visualization, cloud platforms, and Python. This role will support data engineering and reporting functions, facilitating cross-functional collaboration to drive impactful insights and smarter business decisions across the region.
As part of the APAC Analytics & Insights Delivery team, you will work on high-impact projects for some of the world’s biggest brands. The role is based in Malaysia and aligned to our Asia Pacific Centre of Excellence.
Reporting of the Role
This role reports to Associate Director in the WPP Media APAC Analytics & Insights [Delivery] team.
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Kuala Lumpur, Malaysia
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