Data Lead Partner Monetization (They/She/He)

If you’re here, it’s because you’re looking for an exciting ride. 

A ride that will fuel up your ambitions to take on a new challenge and stretch yourself beyond your comfort zone. 

We’ll deliver a non-vanilla culture built on talent, where we work to amplify the impact on millions of people, paving the way forward together. 

Not your usual app. We are the fastest-growing multi-category app connecting millions of users with businesses, and couriers, offering on-demand services from more than 170,000 local restaurants, grocers and supermarkets, and high street retail stores. We operate in more than 1500 cities across 23 countries. 

Together we revolutionize the way people connect with their everyday needs, from delivering essentials to connecting our ecosystem of users through innovative solutions powered by technology. For us, every day is filled with purpose.

What makes our ride unique? 

🤝 Our culture and strong values. 

💪 Our career development philosophy. 

🤝 Our commitment to being a force for good. 

We have a vision: To give everyone easy access to anything in their cities. And this is where your ride starts.

YOUR MISSION

At Glovo, data is at the core of every decision we make, especially in Monetization, where we drive revenue growth through Ads, Promotions, and strategic partner engagement. As a Data Lead, you will play a key role in shaping Revenue Strategy and Commercial Team Performance, ensuring that data-driven insights optimize how we monetize our platform and grow partner success.

You will be the Global Owner of end-to-end Monetization data structure, ensuring its availability, accuracy, and relevance to both internal and external stakeholders. Leading a team of two Data Analysts, you will develop strategic insights, scalable frameworks, automation tools, and decision-making models that enhance our commercial teams' efficiency, partner monetization, and revenue streams.

This is a unique opportunity to own data solutions from ideation to execution, working cross-functionally with Commercial, Product, B2B Marketing, and Finance teams in an environment where experimentation, rapid iteration, and measurable impact are the norm.

 

THE JOURNEY

1. Drive Monetisation Strategy 

 

• Develop and refine KPIs, data frameworks, and analytics models to enhance commercial team performance, sales efficiency, and revenue contribution.
• Provide actionable insights on revenue trends, advertising and promotional performance, and commercial strategy effectiveness.
• Own the key parameters that define the configuration of Partner Monetisation products, ensuring they are continuously optimized for maximum business impact.
• Define Next Best Action recommendations per partner, enabling commercial teams to improve partner engagement, retention, and revenue generation.
  
  

1. Build and Optimize Data Products & Reporting

• Design, implement, and maintain data pipelines, dashboards, and predictive models to drive commercial execution, partner behavior analysis, and revenue optimization.
• Automate internal and external reporting, ensuring scalability, accuracy, and self-service access for commercial teams.
• Establish best practices for data modeling, experimentation, and performance measurement to ensure high-quality analytics outputs.
  
  

1. Lead and Develop a High-Performing Data Team

• Manage and mentor a team of two Data Analysts, fostering their professional growth and technical excellence.
• Promote a culture of collaboration, curiosity, and continuous learning, while maintaining high delivery standards.

 

1. Collaborate with Key Stakeholders to Maximize Impact

• Partner with Commercial, Product Data Science, and Regional Monetisation teams to translate business challenges into data-driven solutions.
• Align data strategy with commercial execution, ensuring sales teams have the insights needed to maximize revenue.
• Present key findings to senior stakeholders, ensuring that data plays a pivotal role in strategic decision-making.
  
  

WHAT YOU WILL BRING TO THE RIDE

• Technical Expertise

  • 4-6 years of experience in data analytics, business intelligence, or data science, with at least 1-2 years of leadership experience.
  • Advanced proficiency in SQL (BigQuery, Redshift, Presto) and Python/R for statistical analysis.
  • Experience designing and building data pipelines for large datasets using ETL frameworks.
  • Hands-o