🏢 Navi UPI
Data Analyst
💼 Fulltime
🎓 2025 Batch
📍 Bangalore, Karnataka, IN
🔗 Explore More
🎯
Don't miss this opportunity!
Apply before 31 Oct 2026 — only 44 days left
✅ Apply on Official Website →🛠 Skills Required
Excel
SQL
Tableau
Power BI
Data Visualization
Data Cleaning
ETL basics
Python
R
Analytical Thinking
Problem Solving
Communication
🎤 Interview Experience
Navi's interview process typically starts with a timed aptitude test, followed by a technical interview focusing on SQL queries, Excel functions, and dashboard design. The final HR round assesses cultural fit, communication skills and motivation. Candidates should practice real‑world data scenarios, be ready to discuss past projects, and demonstrate a data‑driven mindset.
🏢 Work Culture
Navi promotes a high‑energy, ownership‑driven culture where employees are encouraged to experiment and learn quickly. The company offers clear growth trajectories, regular upskilling sessions and a balanced work‑life approach, especially for early‑career professionals.
🎯
Don't miss this opportunity!
Apply before 31 Oct 2026 — only 44 days left
✅ Apply on Official Website →📚 Free Study Materials (4)
Aptitude and Reasoning Practice
Covers quantitative, logical and verbal aptitude questions commonly asked in Navi's first round.
Open Resource ↗
Technical Interview Preparation Guide
Provides coding, SQL and data‑structure problems to sharpen technical skills needed for the second round.
Open Resource ↗
Navi Data Analyst Interview Guide
Specific interview experiences, sample questions and tips for Navi's data analyst role.
Open Resource ↗
Algorithm and Data Structure Practice
Extensive problem set to improve problem‑solving speed and accuracy, useful for technical assessments.
Open Resource ↗
✅ Eligibility Criteria
Bachelor's degree in Technology (Engineering, Computer Science, Information Technology or related fields); Minimum 60% aggregate (or CGPA 6.0/10); Fresh graduates from 2022‑2026 batches; No active backlogs at the time of joining; Strong analytical mindset and proficiency in Excel, SQL and data visualization tools.
🏆 Selection Process
Round 1: Aptitude & Logical Reasoning Test → Round 2: Technical Interview (SQL, Excel, Tableau/Power BI, basic Python/R) → Round 3: HR Interview (cultural fit, motivation, career goals)
📋 About the Role
Navi is a fast‑growing fintech pioneer founded by Sachin Bansal and Ankit Agarwal in 2018. The company aims to democratise financial services for a billion Indians by offering tech‑first products such as personal and home loans, UPI, insurance, mutual funds and digital gold. With a culture built around ambition, perseverance, self‑awareness, ownership and integrity, Navi encourages its employees to innovate, take responsibility and deliver real value to customers. The organization has rapidly expanded its footprint across India and continues to invest heavily in data‑driven decision making, making analytics a core pillar of its strategy.
The Analytics team sits at the heart of Navi’s operations, supporting five verticals – Business & Product Analytics, Credit & Credit Risk Analytics, Collections & Biz‑Fin Analytics, Self‑Serve and Automation. As a Data Analyst in the central analytics hub, you will act as the bridge between business stakeholders and the data ecosystem. You will be responsible for turning raw data into actionable insights, building dashboards that surface key performance indicators, and automating repetitive reporting tasks to improve operational efficiency. This entry‑level role offers exposure to cross‑functional teams, mentorship from senior analysts, and the chance to influence product and business strategy directly.
Key responsibilities include:
1. Collect, clean and maintain large datasets from multiple internal and external sources.
2. Ensure data quality, consistency and accuracy through validation checks.
3. Perform exploratory data analysis using SQL, Excel functions (VLOOKUP, Pivot Tables) and statistical techniques.
4. Build and maintain interactive dashboards in Tableau or Power BI for senior leadership and functional teams.
5. Generate regular and ad‑hoc reports highlighting trends, anomalies and performance metrics.
6. Identify process bottlenecks and propose automation solutions using scripting or ETL tools.
7. Collaborate with product, credit, collections and engineering teams to define data requirements.
8. Document data pipelines, reporting logic and dashboard usage guidelines.
9. Participate in data‑modeling initiatives to improve data accessibility across the organization.
10. Stay updated with emerging analytics tools and best practices to continuously enhance the analytics stack.
Tech stack: Excel, SQL, Tableau/Power BI, basic ETL concepts, Python/R (nice to have), Git for version control.
Growth path: Successful analysts can progress to Senior Analyst, Analytics Lead, or specialize in domains such as Credit Risk or Business Intelligence. The role also opens pathways to data engineering, product analytics and strategic planning.
Why join Navi? You will work in a high‑impact environment where data directly shapes financial products used by millions. The company’s strong mentorship culture, rapid product rollout cycles and emphasis on innovation provide a fertile ground for fresh talent to grow quickly and make a tangible difference.
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📋 Quick Info
JOB ID
C001-J045
POSTED
-16217s ago
TYPE
Fulltime
BATCH
2025
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