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Open nowPosted 6 hours ago

Executive, Data Analytics and Insights

WPP Media813 open roles

Where
Kuala Lumpur, Malaysia
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Your applicationOpen nowExecutive, Data Analytics and InsightsWPP Media · Kuala Lumpur, Malaysia

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The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. WPP Media postings stay open a median of 42 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted 6 hours ago

WPP Media median: 42 days open

The 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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