Business Analyst I

About the Team

The Analytics team at Navi plays a pivotal role in driving data-informed decision-making across the organization. We work closely with all business functions to generate insights, build visibility, and validate hypotheses that shape strategy and execution. Our work spans five key verticals: Business and Product Analytics, Credit & Credit Risk Analytics, Collections & Biz-fin Analytics, Self-Serve and Automation.

About the Role

This role focuses on enabling data-driven decision-making by collecting, validating, and analyzing data to generate actionable insights. It plays a key part in supporting cross-functional teams with accurate reporting, improving data processes, and ensuring compliance with data governance standards in a dynamic business environment.

What We Expect From You

● Data Collection and Validation: Collaborate with stakeholders to understand their data requirements and gather relevant information from various sources. Validate the accuracy and completeness of the data collected.

● Report Generation: Develop and maintain standardized and ad-hoc reports to assist stakeholders in understanding key findings, risks, and opportunities

● Data Analysis: Identify data patterns & trends, and provide insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.

● Process Improvement: Continuously identify opportunities to streamline data gathering processes and improve efficiency

● Cross-functional Collaboration: Work closely with teams, such as finance, compliance, and engineering, to access relevant data availability and ensure consistency in reporting

● Compliance and Governance: Ensure adherence to data privacy regulations and internal data governance policies when handling sensitive information and generating regular reports

● Training and Support: Provide training and support to non-technical stakeholders on data gathering techniques and data analysis tools (Tableau,Metabase etc.)

Must Haves

● Hands-on experience on SQL, any BI platform (Tableau, PowerBI, Qlikview, Looker, Quicksight etc)

● Conceptual understanding of basic statistical concepts (Sampling, Distributions, Central tendency, Hypothesis testing etc)

● Basic understanding of data platforms and ETL processes

● Ability to identify relevant data to solve business problems and (in)validate hypothesis

● (Good to have) Prior data modeling experience in R/Python and some classification and/or regression techniques

● (Good to have) Prior experience with marketing platform such as moengage, clevertap, appsflyer would be a plus.

● (Good to have) Prior experience / understanding of lending/insurance/banking domain would be a plus.

Inside Navi

We are shaping the future of financial services for a billion Indians through products that are simple, accessible, and affordable. From Personal & Home Loans to UPI, Insurance, Mutual Funds, and Gold — we're building tech-first solutions that work at scale, with a strong customer-first approach.

Founded by Sachin Bansal & Ankit Agarwal in 2018, we are one of India's fastest-growing financial services organisations. But we're just getting started!

Our Culture

The Navi DNA

Ambition. Perseverance. Self-awareness. Ownership. Integrity.

We're looking for people who dream big when it comes to innovation. At Navi, you'll be empowered with the right mechanisms to work in a dynamic team that builds and improves innovative solutions. If you're driven to deliver real value to customers, no matter the challenge, this is the place for you.

We chase excellence by uplifting each other—and that starts with every one of us.

Why You'll Thrive at Navi

At Navi, it's about how you think, build, and grow. You'll thrive here if:

● You're impact-driven : You take ownership, build boldly, and care about making a real difference.

● You strive for excellence : Good isn't good enough. You bring focus, precision, and a passion for quality.

● You embrace change : You adapt quickly, move fast, and always put the customer first.