Business Analyst -I (L5)

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