Data Analyst

Candidates can expect a three‑stage interview process. The first round tests technical skills in SQL, Excel, and Tableau, often with live problem‑solving. The second round is a behavioral interview focusing on teamwork, ownership, and problem‑solving scenarios. The final round involves a discussion with a senior analytics lead to assess fit and future potential. Preparation should include mock dashboards, sample SQL queries, and a portfolio of past projects.

Navi fosters a culture of ambition, perseverance, and ownership. Employees enjoy a collaborative environment with opportunities for rapid skill development and career growth. The company promotes a healthy work‑life balance through flexible working arrangements and a supportive team culture.

Bachelor’s degree in Technology (any branch). 1–3 years of experience as a data analyst or related role. Strong proficiency in Excel, SQL, and a data visualization tool (Tableau or Power BI). Basic understanding of ETL processes. Ability to interpret complex data sets and strong problem‑solving skills. Prior experience with Python or R is a plus. No specific percentage requirement; however, a strong academic record and relevant project experience are preferred.

Round 1: Technical interview focusing on SQL, Excel, and Tableau skills → Round 2: HR/Behavioral interview to assess cultural fit → Round 3: Managerial interview with senior analytics lead

Navi is a fast‑growing fintech company that aims to make financial services accessible to a billion Indians. Founded in 2018 by Sachin Bansal and Ankit Agarwal, the company offers a wide range of products including personal and home loans, UPI, insurance, mutual funds, and gold. With a strong customer‑first approach and a tech‑first mindset, Navi has rapidly scaled its operations across India, building a robust digital ecosystem that powers millions of users. The Analytics team at Navi is pivotal in turning data into actionable insights. As a Data Analyst in the central analytics team, you will act as a bridge between business stakeholders and data engineers. Your primary responsibility will be to create visibility across key business KPIs by building dashboards, reports, and automated data pipelines. You will work closely with product, credit, collections, and automation teams to validate hypotheses, uncover trends, and recommend data‑driven solutions that directly impact business outcomes. Key responsibilities include: 1. Collecting, cleaning, and maintaining large datasets from multiple sources. 2. Designing and developing interactive dashboards in Tableau or Power BI. 3. Writing complex SQL queries and using Excel functions (VLOOKUP, Pivot Tables) for ad‑hoc analysis. 4. Implementing data quality checks and ensuring data accuracy and consistency. 5. Automating repetitive reporting tasks to improve efficiency. 6. Collaborating with cross‑functional teams to streamline data collection workflows. 7. Identifying bottlenecks in existing processes and proposing enhancements. 8. Presenting insights and recommendations to senior management. 9. Supporting data modeling initiatives for a scalable data infrastructure. 10. Staying updated with industry best practices in analytics and data engineering. Tech stack: Excel, SQL, Tableau/Power BI, ETL tools, basic Python or R for data wrangling. Growth path: Starting as a junior analyst, you can progress to senior analyst, analytics lead, or data engineering roles. Navi’s culture of ownership and continuous learning provides ample opportunities for skill development and career advancement. Why join Navi? The company’s mission to democratize finance aligns with a purpose‑driven career. You’ll work in a collaborative environment that values innovation, ownership, and customer impact. The fast‑paced fintech space offers exposure to cutting‑edge technologies and real‑world business challenges, making it an ideal launchpad for aspiring data professionals.