Senior Product Analyst — Loyalty
inDrive
Salary undisclosed
Need a reasonable accommodation to apply or interview? Contact us.
JobMinglr uses automated technology to recommend jobs based on profile information and job preferences. Match Score does not determine eligibility for a position, prevent a user from viewing or applying to a job, or make hiring decisions on behalf of an employer.
Description
Key Responsibilities
- Own end-to-end program performance and economics: define and monitor core metrics (enrollment, active members, frequency, retention, cross-service adoption, incremental revenue, reward cost, ROI), forecast program costs and liabilities, and drive financial planning with Finance
- Lead executive-level reporting and insights (e.g., MBRs), turning complex data into clear narratives and actionable recommendations for senior stakeholders
- Shape program design by sizing and prioritizing mechanics (earn/burn rules, tiers, partner and cross-service rewards) and modelling their impact on behaviour and unit economics
- Measure true incrementality using A/B tests, holdouts, and causal inference, and set guardrails so the program doesn’t subsidize behaviour that would have happened anyway or cannibalize margin
- Co-pilot product and launch strategy with Product, Marketing, and business unit teams, including experimentation, initiative prioritization, and roadmap validation from MVP to scale
- Build data foundations from scratch: define the metrics hierarchy, design data marts and dashboards, and partner with engineering on event logging, member data, and segmentation (CDP) for personalized offers
Skills, Knowledge and Expertise
- 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 with loyalty, CRM, or retention programs and 0→1 product launches is a plus
Benefits
- 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
Benefits
- 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.
Pay for this role
The employer didn't post a pay range for this role. That usually means pay is set in negotiation, which favors whoever arrives with numbers. Check ranges on comparable Senior Product Analyst — Loyalty postings in your area, and analyze any offer before you accept it.
Before you apply, worth reading
How JobMinglr reads this job
Every listing here is scored against your profile before you apply: skills overlap, experience level, location and work arrangement, each weighted and explained. You see the score and the reasons, not just a list. How the matching works.