Data Analyst

Round 1: Aptitude & Logical Reasoning → Round 2: Technical Assessment (SQL, Excel, Tableau/Power BI, basic Python/R) → Round 3: HR Interview

Navi’s interview process typically spans three rounds: an initial aptitude test, a technical interview focusing on SQL queries, Excel functions, and dashboard creation, followed by an HR discussion assessing cultural fit and motivation. The difficulty is moderate, with emphasis on practical problem‑solving and clear communication. Candidates should practice real‑world data scenarios and be ready to discuss past projects.

Navi promotes a high‑energy, collaborative environment where ownership and innovation are rewarded. Employees enjoy rapid career growth, mentorship from industry veterans, and a balanced work‑life approach supported by flexible policies.

Bachelor's degree in Technology (B.Tech/BE) from a recognised university; minimum 60% aggregate or CGPA 6.0/10; graduating batch 2025‑2027; no active backlogs; strong analytical mindset and attention to detail.

Navi is a fast‑growing fintech company founded in 2018 by Sachin Bansal and Ankit Agarwal. The firm aims to democratise financial services for a billion Indians by offering tech‑first products such as personal and home loans, UPI payments, insurance, mutual funds, and gold investments. With a strong customer‑first mindset, Navi blends deep domain expertise with cutting‑edge technology to deliver simple, accessible, and affordable solutions at scale. The company’s culture is built around the "Navi DNA" – ambition, perseverance, self‑awareness, ownership, and integrity – encouraging employees to dream big, take responsibility, and continuously upskill. The Analytics team sits at the heart of Navi’s decision‑making engine. It works across five verticals – Business & Product Analytics, Credit & Credit Risk Analytics, Collections & Biz‑Fin Analytics, Self‑Serve, and Automation – to turn raw data into actionable insights. As a Data Analyst in the central analytics hub, you will act as a bridge between business stakeholders and the data engineering ecosystem. Your day‑to‑day work will involve creating visibility into key performance indicators, building and maintaining dashboards, and automating repetitive reporting tasks. This entry‑level role offers a unique opportunity to collaborate with senior analysts, product managers, and engineers, gaining exposure to end‑to‑end data pipelines and business strategy. Key responsibilities include: 1. Collect, clean, and consolidate large datasets from multiple internal and external sources. 2. Ensure data quality by implementing validation checks and standardising formats. 3. Perform exploratory analysis using SQL, Excel functions (VLOOKUP, Pivot Tables) to uncover trends and anomalies. 4. Develop and maintain interactive dashboards in Tableau or Power BI for senior leadership and functional teams. 5. Translate business requirements into technical specifications for data extraction and reporting. 6. Automate recurring reports and data workflows using scripting (Python/R) or ETL tools. 7. Collaborate with cross‑functional teams to streamline data collection processes and reduce manual effort. 8. Identify bottlenecks in existing workflows and propose data‑driven optimisation solutions. 9. Prepare regular and ad‑hoc reports highlighting performance metrics, insights, and recommendations. 10. Stay updated with emerging analytics tools and best practices to continuously improve the analytics stack. Tech stack: Excel, SQL, Tableau / Power BI, basic ETL concepts, Python or R (nice to have). The role offers a clear growth path – high‑performing analysts can progress to Senior Analyst, Analytics Lead, or Product Analytics Manager within 2‑3 years, with opportunities to specialise in credit risk, product analytics, or automation. Joining Navi means working in a vibrant, mission‑driven environment where data directly influences product launches, risk management, and customer experience. If you are detail‑oriented, love solving problems with data, and thrive in a fast‑paced fintech setting, this role provides the platform to make a tangible impact while advancing your analytical career.