Job Description

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