Senior Product Analyst — Loyalty
inDrive Open Hybrid Limassol Full-time Senior Data Analysis & BI
At a glance
Senior Data Analysis & BI role at inDrive. Limassol · full-time.
Pay not stated Data Analysis & BI salary
RoleData Analysis & BI
SenioritySenior
LocationLimassol
WorkplaceHybrid
EmploymentFull-time
PostedNov 6, 2026
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Track loyalty enrollment, engagement, retention, cross-service use, revenue, reward costs and returns
- Forecast reward expenses and liabilities, plan finances with Finance, and explain results to senior stakeholders
- Model how earning rules, tiers and partner or cross-service rewards affect user behavior and unit economics
- Use experiments and causal methods to test incremental impact and protect against unnecessary subsidies or lost margin
- Build the program’s metrics, data marts and dashboards with engineering, including event tracking and member segmentation
What you bring
- At least five years working in data or product analytics
- Strong Python, SQL and BI skills, alongside a solid grounding in statistics, optimization and causal inference
- Experience analyzing large datasets and shaping data marts for product use
- Professional working proficiency in English
Who this fits
This senior analyst role suits someone who can connect rigorous measurement with business and resource decisions, and help shape a loyalty product from its early stages. The position is based in Limassol, Cyprus, with a hybrid arrangement. Loyalty or retention work and launching products from scratch are useful experience.
From the employer
We’re looking for a Senior Product Analyst to help launch and scale inDrive’s new loyalty program, a cross-business-unit initiative designed to increase engagement, retention, and lifetime value across our services. As one of the first analysts on the project, you’ll shape it from the ground up. You’ll partner closely with Product, Marketing, Finance, and business unit teams, using data and experimentation to design the program, prove its incremental impact, and make sure rewards create lasting value for users and the business.
- 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
- 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
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