Product Analyst- Payments

Pine Labs

Bengaluru

On-site

INR 900,000 - 1,300,000

Full time

42 hours ago
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Job summary

Pine Labs in Bengaluru is seeking a Product Analyst/Data Analyst to transform data into strategic insights for product teams. You will analyze user behavior, build dashboards, and support experiments from planning to post-launch analysis.

The role emphasizes fintech/payments familiarity, strong SQL, and independent work on large datasets. Collaboration with product and engineering will drive data-informed decisions across the roadmap.

Qualifications

  • Strong SQL skills and ability to work with large datasets independently.
  • Analytical thinker with attention to detail and problem-solving.
  • Experience with Excel/Google Sheets; BI tools beneficial.

Responsibilities

  • Analyze large datasets to uncover trends and actionable insights for product teams.
  • Define metrics, build dashboards, and provide real-time visibility to stakeholders.
  • Collaborate with PMs and data engineers on experiments and data availability.
  • Design and analyze A/B tests and experiments to inform product decisions.
  • Translate data into clear, actionable recommendations for roadmaps.
  • Monitor KPIs and flag anomalies and trends.

Skills

SQL skills
Analytical thinking
Excel/Sheets
BI tools

Tools

Tableau
Power BI

Job description

What You’ll Do
1. Product Analytics & Insights
  • Analyze large datasets to uncover trends, patterns, and actionable insights for product teams
  • Translate business questions into analytical frameworks and measurable metrics
  • Identify opportunities to improve conversion, success rates, and user experience
2. Metrics Ownership & Monitoring
  • Define, track, and monitor key product KPIs (e.g., payment success rates, drop-offs, latency, adoption)
  • Build dashboards and automated reports to provide real-time visibility to stakeholders
  • Proactively flag anomalies, performance drops, and emerging trends
3. Partner with Product & Engineering
  • Work closely with Product Managers to evaluate new features, experiments, and product changes
  • Support planning, testing, and post-launch analysis of product initiatives
  • Collaborate with data engineering teams to ensure data availability and accuracy
  • Design and analyze A/B tests and experiments
  • Provide data-backed recommendations for product strategy and prioritization
  • Evaluate impact of product changes and suggest next steps
5. Data Modeling & Deep Dives
  • Perform deep-dive analyses on funnels, cohorts, and user behavior
  • Build scalable SQL queries and data models for repeatable insights
  • Identify root causes of issues and recommend solutions
What We’re Looking For
Experience
  • 1–2 years of experience as a Business Analyst / Product Analyst / Data Analyst
  • Experience in fintech/payments is a plus, not mandatory
Core Skills
  • Strong SQL skills (must-have), ability to work with large datasets independently
  • Strong analytical and problem-solving skills with attention to detail
  • Experience with Excel / Google Sheets; familiarity with BI tools (Tableau, Power BI, etc.) is a plus
  • Ability to convert data into clear, actionable insights
Mindset
  • Proactive: doesn’t wait for asks, identifies problems/opportunities independently
  • Curious: digs deep into “why” behind the numbers
  • Structured thinker: can break down ambiguous problems into measurable components
Good to Have
  • Experience working with payment systems (cards, UPI, etc.)
  • Exposure to experimentation frameworks (A/B testing)
  • Basic knowledge of Python/R for data analysis
Why This Role Matters

This role sits at the intersection of product, data, and business impact. You will directly influence product decisions by:

  • Improving conversion and success rates
  • Identifying growth opportunities
Success in This Role Looks Like
  • You proactively surface insights before PMs ask
  • You become the go-to person for product metrics
  • Your analysis directly influences roadmap and prioritization
  • You help teams move from “data reporting” → “decision making”
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