EMEA Analytics Operations Associate, Platforms and Devices Partnerships

Overview

In this role you will lead investigative analytics for EMEA in the Android-focused Partnerships space, turning complex data into actionable business insights. You’ll build lightweight tools, automated data pipelines, and interactive dashboards to enable self-service analytics across regional stakeholders. You will champion AI-driven workflows and internal LLM tooling to speed analysis and reporting. You’ll partner with global teams to align regional data models with global standards while supporting S&O rhythms and executive briefings.

Responsibilities

• Own end-to-end investigative support for EMEA strategic inquiries across Android and P&D, synthesizing data into actionable insights
• Design, build, and maintain automated data pipelines, lightweight tools, dashboards, and self-service analytics frameworks
• Advocate adoption of AI models and internal LLM tooling to accelerate analytics and reporting
• Support Strategy & Operations rhythms (QBRs, OKR tracking, market monitoring, executive briefing prep)
• Partner with global analytics and S&O teams to align regional data models with global frameworks while addressing EMEA nuances
• Collaborate with EMEA leads and cross-functional teams to drive data-driven decision making
• Contribute to projects that cut through complexity to enable strategic initiatives
• Develop an understanding of Global Partnerships landscape to support product commercialization and partnerships

Key requirements

• Bachelor’s degree or equivalent practical experience
• 4 years of experience in data analytics, investment banking, management consulting, or operations with a focus on translating datasets into insights
• 4 years designing, building, and maintaining automated data pipelines, interactive dashboards (Tableau, Looker), and SQL-based queries
• Experience working with cross-functional teams and regional stakeholders in a multinational or global technology environment

• excellent communication skills for explaining complex technical conclusions to non-technical stakeholders
• strong collaboration across cross-functional teams
• curiosity and problem-solving mindset
• SQL
• Tableau
• Looker

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