Minimum qualifications:

• Bachelor's degree or equivalent practical experience
• Ability to speak and write in English fluently
• Experience in a strategy role

Preferred qualifications:

• Experience utilizing advanced analytics and driving complex operational and strategic initiatives, while interacting with multiple business leaders
• Understanding of SQL
• Ability to develop and validate hypotheses using data and design/measure impact of experiments to drive business recommendations
• Ability to simplify complex information and present to executive audiences with varying levels of technical experience
• Excellent written and verbal communication skills

About the job

Google Play provides the apps, games, and digital content services that bring Android devices to life.

As a regional Analytics and Insights Manager, you will deliver insights to enable Google Play payments growth by developing a deep understanding of user preferences, purchase patterns, and the partner ecosystem.

Google’s Global Partnerships team powers extraordinary user experiences through partnerships that solve users’ needs, advance our partners’ goals, and further Google’s mission. Our team provides meaningful solutions — from helping publishers and developers grow their businesses through growth solutions, to helping our long-term partners anticipate and navigate change in a way that delivers economic and reputational value. We build and distribute products through partnerships across a multitude of product areas, including Ads, Search & Assistant, Geo, Platforms & Ecosystems, Devices & Services, Health, Retail, Payments, Next Billion Users, and more. We collaborate across Google, ensuring a coordinated approach when engaging with our most complex and strategic partners.

Responsibilities

• Drive the analytics strategy for EMEA regional Retail and Payments Activation, aligning and setting priorities to deliver on the team and business needs.
• Collaborate with stakeholders to define analytical scope, success criteria, timeline for various projects, and manage overall analytical project execution.
• Work with the business to translate experiments into insights and build business cases for scaling actions.
• Utilize causal inference, predictive models, and machine learning to execute segmentations and improve measurement.
• Ensure a high degree of excellence and quality in projects.