Lead, Applied Analytics Manager, EMEA

Who We Are Looking For

The ideal candidate has a proven ability to transform complex data into actionable insights that drive meaningful business impact. They are adept at working across multiple data sources and tools, prioritising critical questions and shaping analyses that influence strategic and tactical decisions. They communicate effectively and influence senior leadership, both technical and non-technical stakeholders —while demonstrating strong problem-solving, analytical, and critical thinking skills. Success in this role requires attention to detail, a commitment to excellence, and a passion for leveraging data to support business decisions. This is an exciting opportunity for someone who thrives in multi-functional environments and has passion for data-led insights.

Key Competencies & Skillset

• A strong quantitative background acquired through a bachelor’s degree in Business, Economics, Analytics, Computer Science or equivalent combination of education, experience or training.
• Intermediate query/programming skills (SQL, Python), cloud-based analytics platforms (Databricks, Snowflake) and BI tools (Tableau, Power BI, Looker)
• Fluency with advanced retail KPIs (RSV, WOH, FPR) and data sources (POS, Bookings)
• Strong business acumen and strategic storytelling
• Proven track record of building collaborative stakeholder relationships and developing and executing strategic business processes within a large organization
  
  

What You’ll Work On

You will lead analytics for Sports or Franchises. For doing so,

• You will be responsible for delivering timely actionable analyses embedded into decision-making.
• You will be a strategic partner to Sport leaders.
• You will jointly prioritize initiatives, scope needs and define the most critical business questions to answer and you will be responsible to ensure analytics is embedded in decision-making moments.
• You will lead E2E Sports analyses, evaluate risks/opportunities, progress against targets/geo priorities and translate analyses into recommendations. You will take ownership of high-complexity analyses. Collaborate with team mates on integrated storytelling.
  
  

This role will not be responsible for

• Building Reporting/ Business Intelligence products
• Data Engineering/ Maintenance