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WPP Media

AI-native global media services network

BI Analyst Mid-Level

Business IntelligenceConfirmed live in the last 24 hours
Full-timeSão Paulo, State of São Paulo, BrazilNo salary listed

About the Job

Requirements

  • Proven prior experience in BI or media.
  • Practical knowledge of Google Analytics, Power BI, and Looker Studio.
  • Knowledge and experience with media platforms, plus basic knowledge of SQL, databases, and data visualization tools.
  • Ability to analyze data, build reports, and interpret performance indicators.
  • Strong communication, business strategy perspective, organization, and interpersonal relationship skills.

Responsibilities

  • Serve multiple accounts simultaneously, interacting directly with internal media teams and clients, and switch quickly between different contexts.
  • Develop studies, generate insights, and contribute actively to account strategy and performance- and business-focused decision-making.
  • Interpret campaign results, understand performance, and turn learnings into practical, actionable recommendations for next steps.
  • Develop and maintain data visualization dashboards and organize information to support daily and strategic monitoring of deliverables.

Desired Qualifications

  • English language skills.

About the Company

WPP Media

AI-native global media services network

WPP Media is a global media services arm that manages more than $60 billion in annual advertising investments for leading brands. It operates across a network of established agencies (Mindshare, Wavemaker, EssenceMediacom) and combines media planning, data, production, and commerce through its proprietary WPP Open platform. Its Open Intelligence data model uses real-time behavioral signals to drive predictive, faster, and smarter marketing campaigns. The company positions itself as an AI-native media collective, consolidating capabilities under a single technology stack to improve efficiency and scale for advertisers. Its goal is to help clients buy and optimize media more effectively by leveraging integrated data, advanced analytics, and automated execution at scale.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2003

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