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Executive, Data Analytics and Insights

Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Analyze 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

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • 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).
Qualification wording
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).
Education & alternatives
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.

About WPP Media

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

Apply at WPP Media

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 2026today
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 5 and day 41.

At WPP Media, jobs usually come down by about day 26.

From 11,062 similar postings that came down, and 145 of WPP Media’s. Coming down is not always a hire.

WPP Media is hiring

43 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Analyst hiring is picking up
  • Takes jobs down at a usual pace
  • 2% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • GCP
  • Hadoop
  • Power BI
  • Spark
  • Tableau
Where the posting names them
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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Demand for Analyst roles

New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 965, the most 1,388, and the latest week had 1,365.
August 17Last week

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.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

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.

3 Best Things About the Job

  • Collaborate on regional and global projects for industry-leading brands across diverse verticals.
  • Be part of a collaborative, high-performing, and supportive global data community.
  • Access cutting-edge tools, technology, and learning opportunities through WPP.

Measures of Success

In One Month, You Will:

  • Get familiar with WPP Media’s data systems, tools, and analytics workflows.
  • Begin contributing to active projects through data exploration and foundational reporting.
  • Build working relationships with team members and business partners.

In Three Months, You Will:

  • Deliver insights and reports that support stakeholder decision-making.
  • Independently manage small to mid-sized data assignments.
  • Apply best practices to improve visualization and reporting frameworks.

In Six Months, You Will:

  • Facilitate infra support for data engineering and reporting functions, collaborating with cross-functional teams.
  • Introduce improvements to data processes or reporting templates.
  • Contribute to a culture of innovation and continuous learning within the team.

Key Responsibilities

  • 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.
  • 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.

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.
  • 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).
  • Intermediate Python for analytics and automation.
  • Strong analytical mindset, attention to detail, and effective communication skills.

Nice to Have

  • 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).
  • Familiarity with agile methodologies or collaboration tools (e.g., Jira, Confluence).

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Kuala Lumpur, Malaysia

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