Data & Product Analyst

VOLA FINANCE COMPANY; Bengaluru; Sur place; INR 1 200 000 - 2 400 000; Plein temps

Résumé du poste

Vola Finance, a Bangalore-based fintech team, is seeking a data analytics professional to drive growth, product analytics, data quality, and risk reporting. You will analyze funnels, run A/B tests, build segments, and monitor KPIs like LTV, CAC, and churn while ensuring data integrity and supporting cross-functional teams.

The role requires strong SQL/Python, advanced Excel, and experience with BI tools, plus exposure to credit risk strategies for retail loan portfolios.

Qualifications

• 46 years in data analytics, ideally fintech or lending.
• Hands-on experience developing credit risk strategy for retail loan portfolios (mandatory).
• Strong SQL and Python.
• Solid statistical analysis and A/B testing skills.
• Advanced Excel.
• Experience with at least one BI tool: Redash, Grafana, Tableau or Power BI.
• Working knowledge of Git-based version control (GitHub or Bitbucket).

Responsabilités

• Growth and product analytics: analyze funnels and design tests.
• Build customer segments to drive acquisition, engagement and retention.
• Define and track growth KPIs such as LTV, CAC and churn.
• Data quality and reporting: support integrations and data sanity checks.
• Monitor changes to product logic and their impact on outcomes.
• Build reports and dashboards for Product and Engineering teams.
• Credit risk and collections: monitor risk metrics and reports.

Connaissances

SQL

Python

Statistical analysis

A/B testing

Advanced Excel

Outils

Redash

Grafana

Tableau

Power BI

Description du poste

Role & responsibilities

Vola Finance is a Bangalore-based fintech team of about 45 people building financial products for US consumers. We offer cash advances, credit-building tools, Experian credit score access and rent reporting. Our data team sits at the centre of underwriting, growth and product decisions.

What you'll do

Growth and product analytics

• Analyse product and conversion funnels to find drop-offs and opportunities
• Design and run A/B tests, and turn results into clear recommendations
• Build customer segments to drive targeted acquisition, engagement and retention strategies
• Define and track growth KPIs such as LTV, CAC and churn rate

Data quality and reporting

• Support product integrations, data collection and data sanity checks
• Monitor changes to product logic and their impact on outcomes
• Build reports and dashboards for the Product and Engineering teams
• Work with cross-functional teams to gather data and solve problems with it

Credit risk and collections

• Validate and monitor credit scorecards
• Track key risk metrics and produce regular risk reports
• Analyse collections performance and improve recovery efficiency

What you'll need

• 46 years in data analytics, ideally in fintech or lending
• Hands-on experience developing credit risk strategy for retail loan portfolios (mandatory)
• Strong SQL and Python
• Solid statistical analysis and A/B testing skills
• Advanced Excel
• Experience with at least one BI tool: Redash, Grafana, Tableau or Power BI
• Working knowledge of Git-based version control (GitHub or Bitbucket)

You’ll thrive here if you

• Think critically and start from the problem, not the dashboard
• Are goal-oriented and comfortable owning outcomes end to end
• Enjoy working with product, engineering, risk and growth teams in a fast-moving startup
• Can explain findings clearly to non-technical colleagues