Data Analyst Partner Revenue Global

Job Ref ID: JR0087676
YOUR MISSION
You will be a key analytical partner for Glovo's commercial teams, providing revenue, pricing and performance insights for advertising and monetisation products. You will use data to identify growth opportunities, improve decision-making and support the scaling of Glovo's Ads business.
As part of the Partner Revenue team at Glovo HQ, you will work across business and technical teams, developing strong analytical expertise while progressively taking ownership of initiatives from problem definition to impact measurement.
THE JOURNEY
KPI & Performance Ownership: Help define and evolve business KPIs, data models and funnels to improve revenue and performance visibility.
Business Insights & Decision Support: Translate business questions into actionable insights that inform product, sales and commercial decisions.
Visualisation & Reporting: Build and maintain useful, scalable dashboards and reporting frameworks.
Forecasting & Financial Planning: Support revenue forecasts, variance analyses and growth models for planning and decision-making.
Revenue Growth & Profitability: Identify data-driven opportunities to grow advertising revenue, improve conversion and maximise partner value.
Analytical Project Ownership: Progressively own analytical initiatives from problem definition through to delivery and impact measurement.
Stakeholder Partnership: Build strong relationships with business, local and technical stakeholders and help them use data effectively.
Continuous Improvement: Improve analytical processes, reporting and ways of working while sharing knowledge with the wider team.
WHAT YOU WILL BRING TO THE RIDE
Must Have
2-4 years of experience in a quantitative analysis role, ideally in a commercial or business-facing environment.
Strong SQL skills.
Strong analytical and problem-solving mindset, with the ability to investigate ambiguous business questions.
Ability to communicate analyses through clear narratives and visualisations.
Experience building hypotheses and validating them through analysis or experimentation.
Strong ownership mindset and ability to work independently.
Ability to collaborate with stakeholders and translate business questions into analytical solutions.
Excellent spoken and written English.
Bachelor's degree in Economics, Statistics, Mathematics, Engineering or a related field.
Plus to Have - Technical
Working knowledge of Python or R, including analytical libraries such as Pandas, SciPy and Jupyter.
Experience with BI tools such as Looker or Tableau.
Good understanding of A/B testing design and analysis.
Plus to Have
Experience in digital advertising or data monetisation.
Exposure to global or cross-regional environments.
Experience with strategic or executive-level reporting.

Employment type
Full-time

Work arrangement
No