Analytics Intern

About WPP Media

WPP is the trusted growth partner for the worlds leading brands. With exceptional talent trusted data and intelligence and world-class partnerships all united by ourpioneeringagentic marketing platform WPP Open we help clients navigate change capture opportunity and deliver transformational growth.

WPP Media is WPPs 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 .

Analytics Intern (Masters) Analytics Delivery Team (Malaysia Data Hub)

Company:WPP Media

Team:Analytics Delivery Team Malaysia Data Hub

Location:Malaysia (Hybrid/Onsite as per business need)

Internship Type:Masters Internship (Full-time preferred)

Duration:Minimum 56 months

About WPP Media

WPP isthecreative transformation company. We use the power of creativity to build better futures for our peopleplanetclientsand communities. For more information visit .

WPP Media is WPPs global media a world where media is everywhere and in everything we bring the best platform people and partners together to create limitless opportunities for growth. For more information visit

At WPP Media we believe in the power of our culture and our elevates us to deliver exceptional experiences for both our clients and each this role it will be critical to embrace WPP & WPP Medias shared core values:

• BeExtraordinarybyLeading CollectivelytoInspiretransformationalCreativity.

• Create anOpenenvironmentbyBalancing People and Client ExperiencesbyCultivating Trust.

• LeadOptimisticallybyChampioning Growthand DevelopmenttoMobilize the Enterprise.

About the Role

WPP MediasAnalytics Delivery Team (Malaysia Data Hub)is looking for aMasters-level Analytics Internto support reporting dashboarding and insight generation for business and media stakeholders. This is a hands-on role where you will build and improvePower BI dashboards writeSQL queriesfor data extraction/validation and automate workflows usingPython.

Key Responsibilities

• Build and enhancePower BI dashboards(DAX measures datamodeling visuals drill-throughs performance optimization)

• Write andoptimizeSQL queriesto extractvalidate and transform data from multiplesources

• Support analytics delivery by converting business needs into clearKPIs reporting views and insights

• UsePythonto automate data preparation reporting workflows and analysis tasks

• Assistwith data quality checks reconciliation and anomaly detection

• Maintain documentation for dashboards KPI logic data definitions and solution workflows

• Collaborate with analysts data engineers and stakeholders in an agile delivery environment

Required Skills (Must-have)

• StrongPower BIexperience (Power Query DAX datamodeling best-practice visual design)

• StrongSQLskills (joins aggregations window functions troubleshooting data issues)

• StrongPythonskills for data analysis/automation (Pandas NumPy scripting)

• Good understanding of analytics concepts: KPIs trends segmentation reporting logic

• Strong attention to detail and ability to explain insights clearly to stakeholders

Good to Have (Nice-to-have / Optional)

• Experience withGoogle Cloud Platform (GCP)

• Exposure toBigQuery(querying large datasets optimization)

• Familiarity withdata pipelines / ELT tools( Airflow etc.)

• Exposure toAI/MLconcepts (forecasting classification LLM-based analytics workflows)

• Knowledge of digital/media metrics is a plus (campaign performance audience analytics)

Qualifications

• Currently pursuing aMastersdegreein Analytics / Data Science / Statistics / Computer Science / Engineering / Business Analytics (or similar)

• Strong analytical mindset with problem-solving ability

• Ability to manage tasks independently meet deadlines and work collaboratively

WhatYoullGain

• Real-world experience delivering analytics solutions in a global media organization

• Mentorship from experienced analytics professionals

• Opportunity to contribute to production dashboards and measurable business outcomes

• Exposure to modern cloud analytics stack (depending on project requirements)

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