Why This Job is Featured on The SaaS Jobs
This Senior Product Analyst role sits at the intersection of product analytics and credit economics, a combination increasingly central to modern SaaS and platform businesses that monetize through financial services. The listing signals a product area where measurement discipline matters because changes to onboarding, eligibility, and pricing can affect both conversion and risk outcomes. That makes the work closer to decision science than reporting, with analytics directly tied to product direction.
For a SaaS career, the durable value here is building repeatable frameworks for KPI definition, experimentation, and forecasting in a product that must balance growth with unit economics. Experience designing funnels, running A/B tests, and translating findings into roadmap decisions tends to transfer well across subscription, marketplace, and fintech-adjacent SaaS teams. The emphasis on documentation and data marts also supports stronger product analytics craft, not just ad hoc analysis.
This role fits professionals who prefer owning ambiguous problems end to end, from metric design through recommendation and rollout decisions. It will suit someone comfortable partnering closely with product and business stakeholders, and who enjoys applying statistical rigor in situations where outcomes are measurable and consequential. A background in lending or high-scale consumer products would align naturally, but the core signal is a product-minded analyst who influences decisions.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Senior Product Analyst — Fintech
Department: Technology
Employment Type: Full Time
Location: Cyprus
Description
At inDrive, we're not just building a ride-hailing app — we're building a financial platform at global scale. Our lending product is one of the fastest-growing verticals in the company. We're looking for a Senior Product Analyst who thrives where data work directly drives product and revenue decisions.
This is a rare combination: the stability of a well-funded global company with the speed and ownership of an early-stage product. If you want your analysis to shape a product used by millions, we'd love to talk.
Key Responsibilities
- Define the metrics that matter — design, calculate, and monitor KPIs for new product features and initiatives across the credit funnel
- Drive funnel optimization — identify where users drop off, why, and which levers move conversion at each stage
- Surface growth opportunities — dig into data to find product directions worth betting on
- Assess business value — model expected profit from new projects and features before launch, and track actual vs. forecast after
- Run A/B experiments end-to-end — from hypothesis and test design through statistical analysis to rollout decisions
- Define pricing strategy — run tests and analyze how rate, term, and eligibility settings affect conversion, default rates, and portfolio health
- Build the analytics foundation — maintain documentation, create data marts, and partner with the Data team to ensure clean, reliable product data
- Translate findings into decisions — deliver crisp recommendations to product and business teams so insights actually change what gets built
Skills, Knowledge and Expertise
- 3+ years in product analytics or data science, with a track record of influencing product decisions — not just reporting numbers
- Strong statistical foundation: A/B testing, causal inference, time series
- Advanced SQL — comfortable writing and optimizing complex queries across large datasets
- Python proficiency — pandas, numpy, and the rest of the standard data stack
- Experience with BI and visualization tools: Redash, Tableau, or similar
- Structured thinking and a product mindset — you balance analytical rigor with business pragmatism
- Bonus: background in fintech, lending, or marketplace products at scale
- English: Professional Working Proficiency
Conditions
- Stable salary, official employment
- Health insurance
- Hybrid work mode and flexible schedule
- Access to professional counseling services, including psychological, financial, and legal support
- Discount club membership
- Diverse internal training programs
- Partially or fully paid additional training courses
- All necessary work equipment
