Product Analyst chez We're building the most loved Fintech in the Middle East - Are you in?
We're building the most loved Fintech in the Middle East - Are you in? · Bengaluru, Inde · Onsite
- Professional
- Bureau à Bengaluru
About the role
We’re looking for a Product Analyst to join the Growth section of our Product team. This role is analytics-first and highly data-driven. You’ll be responsible for building the analytical infrastructure that powers our product decisions, unifying data across systems, creating dashboards, analyzing user behavior, and uncovering insights that shape product strategy. If you thrive on solving problems with data, love working with modern product analytics tools, and are eager to drive impact in a fast-scaling fintech, this role is for you.
What you'll do- Data Infrastructure: Integrate and unify data across CRM, analytics tools, and internal systems to build a single source of truth.
- Dashboards & Reporting: Build and maintain dashboards on product usage, acquisition, onboarding, and growth channels.
- Data Completeness: Ensure data accuracy and completeness; identify missing or uncaptured fields/tables and drive updates.
- Insight Generation: Analyze user and usage patterns to generate actionable insights.
- AARRR Metrics: Apply the AARRR (Acquisition, Activation, Retention, Referral, Revenue) framework to analyze funnels, identify drop-offs, and recommend optimizations.
- Growth Experiments: Track experiment impact across the lifecycle to quantify ROI and guide prioritisation.
- Friction Analysis: Use session replays and heatmaps to identify friction points in user onboarding and product flows.
- Product Analytics: Drive adoption of tools like Mixpanel, Amplitude, Factors.AI, or GA4 for product usage analysis and cohort tracking.
- Workflow & Visualization: Use Metabase, Amplitude, Mixpanel, and similar platforms for queries, workflows, and visualization.
- Collaboration: Work closely with Product, Growth, and Engineering teams to define success metrics, run experiments, and inform product strategy.
What we are looking for- B.Tech/M.Tech in Computer Science, Data Science, or related quantitative field - essential due to heavy schema and modeling requirements.
- 2–4 years in a Product Analyst / Data Analyst role, ideally in fintech, SaaS, or consultancy with exposure to financial or growth marketing clients.
- Strong SQL expertise and ability to design complex queries across multiple systems.
- Hands-on experience with data modeling and translating business problems into analytical frameworks.
- Proficiency with analytics tools (Metabase, Mixpanel, Amplitude, Factors.AI, GA4).
- Hands-on experience with Python (Pandas, NumPy, basic ML workflows) for deeper analysis and automation.
- Analytical, detail-oriented, and collaborative—someone who can move quickly in a fast-paced startup environment while ensuring data accuracy and clarity.
What's in it for you- Contribute to building the Middle East’s most beloved fintech brand from the ground up
- Benefit from a role with significant ownership and accountability
- Thrive in a flexible hybrid culture with ample work-life balance
- Participate in exciting offsite events
- Competitive salary and equity
- Enjoy additional perks like travel allowances, gym memberships, and more
Postuler maintenant
- B.Tech/M.Tech in Computer Science, Data Science, or related quantitative field - essential due to heavy schema and modeling requirements.
- 2–4 years in a Product Analyst / Data Analyst role, ideally in fintech, SaaS, or consultancy with exposure to financial or growth marketing clients.
- Strong SQL expertise and ability to design complex queries across multiple systems.
- Hands-on experience with data modeling and translating business problems into analytical frameworks.
- Proficiency with analytics tools (Metabase, Mixpanel, Amplitude, Factors.AI, GA4).
- Hands-on experience with Python (Pandas, NumPy, basic ML workflows) for deeper analysis and automation.
- Analytical, detail-oriented, and collaborative—someone who can move quickly in a fast-paced startup environment while ensuring data accuracy and clarity.