About Navi 

Navi is one of the fastest growing financial services companies in India providing Personal  & Home Loans, Insurance and Mutual Funds with a digital first approach. At Navi, our  mission is to build financial services that are simple, accessible and affordable. 

Founders: Sachin Bansal & Ankit Agarwal

Know what makes you a “Navi_ite” : 

1.Perseverance, Passion and Commitment 

• Passionate about Navi’s mission and vision 

• Demonstrates dedication, perseverance and high ownership 

• Goes above and beyond by taking on additional responsibilities 

2.Obsession with high quality results 

• Consistently creates value for the customers and stakeholders through high quality outcomes 

• Ensuring excellence in all aspects of work 

• Efficiently manages time, prioritizes tasks, and achieves higher standards 

3.Resilience and Adaptability 

• Adapts quickly to new roles, responsibilities, and changing circumstances,  showing resilience and agility 

General Responsibilities :

• 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: Utilize  data analysis techniques to uncover insights, identify anomalies, and recognize patterns within the data to identify fraud

• 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.)

Specific Responsibilities :

• 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