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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics and product analytics, with a strong focus on financial planning, performance monitoring, and actionable insights. Proficient in Python, SQL, and BI tools to drive data-driven decision-making in e-commerce or retail environments.
Highest-signal resume keywords
Data AnalyticsProduct AnalyticsPython ProficiencySQL ProficiencyBusiness Intelligence Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisStatistical AnalysisCausal InferenceOptimizationDashboard DevelopmentData Mart DesignA/B TestingFinancial PlanningPerformance MonitoringCustomer Segmentation
Soft Skills
Analytical MindsetClear CommunicationProblem SolvingCollaboration
Tools & Technologies
TableauRedash
Industry Keywords
Q-CommerceE-CommerceRetail AnalyticsUnit EconomicsCustomer Funnel
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Own end-to-end grocery performance and unit economics, monitoring orders, GMV, AOV, conversion, retention, contribution margin, and availability
- Validate targets and help drive financial planning for the business unit
- Lead executive-level reporting and insights, turning complex data into clear narratives and actionable recommendations
- Identify, size, and prioritize high-impact opportunities across the customer funnel, assortment and pricing, promotions, and new markets
- Establish and monitor profitability and customer-experience guardrails
- Lead incident response for drops and anomalies
- Co-pilot product and commercial strategy with Product, Commercial, Operations, and Marketing teams
- Support experimentation, including A/B testing, initiative prioritization, and roadmap validation
- Define the metrics hierarchy, build scalable dashboards and self-serve BI tools
- Partner with engineering on data architecture, logging, and customer segmentation
Requirements
What you’ll need- 5+ years in data analytics or product analytics
- Strong analytical mindset with a balance between business impact and resource efficiency
- Proficiency in Python, SQL, and BI tools (e.g., Tableau, Redash)
- Solid mathematical background, including statistics, optimization, and causal inference
- Experience in analyzing large datasets and designing data marts for product needs
- English: Professional Working Proficiency
- Experience in q-commerce, e-commerce, or retail analytics is a plus
Benefits
Comp & perks- Help us challenge injustice by creating fair choices for millions of people across 47 countries
- Develop your professional skills with access to mentoring, career consulting, and learning programs
- Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
- Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
- Work alongside people who take initiative, speak openly, and challenge themselves to grow
- Improve your language skills through co-financed courses and internal speaking clubs
- Annual salary from EUR 70 700 gross
- Final benefits may vary depending on the location
