About Company

Navi Technologies (erstwhile known as BACQ) is founded by Sachin Bansal & Ankit Agarwal to build consumer-centric and technology-driven businesses in the BFSI (Banking, Financial Services & Insurance) space. At Navi, our mission is to build consumer-centric & technology driven business providing financial services that are simple, accessible and affordable to end consumers.




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Navi Analytics is a central function working closely with engineering, product, and business functions to create data processes as the key differentiator for the company. We believe in –

Be the owner of data (quality, accessibility, usability) for the company

Improve speed of decisions through data transformation and access,

Improve the quality of decisions with right visibility into business,

Create Drive culture of learning through experimentation

Role
Understand decision making needs of Lending business functions like collections, Credit etc.
Evaluate data required for decisions, identify sources of appropriate data, own up the sanity/accuracy of available data, ensure transformations for right decision making
Define metrics through the business processes for clear measurability and to deep-dive into processes to identify areas of improvements
Identify opportunities of improvement in product & process flows through exploratory analysis and Driving customer segmentation to come up with insights on customization for various customer groups
define analytical frameworks to gain insights on correlations/causality
Automate (wherever possible) & standardize decision making process to make it data driven
Work with engineering & data platform team to drive data availability & reliability
Monitor & highlight health of business by developing metric dashboards to track success & performance metrics for business functions



Desired Candidate Profile
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 modelling 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