Job Description

1. Understand decision making needs of business functions (growth, marketing, product design, under-writing, collections, claim settlement, calling team etc.)
2. Evaluate data required for decisions, identify sources of appropriate data, own up the sanity/accuracy of available data, ensure transformations for right decision making
3. Define metrics through the business processes for clear measurability and to deep-dive into processes to identify areas of improvements
4. 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
5. define analytical frameworks to gain insights on correlations/causality
6. Automate (wherever possible) & standardize decision making process to make it data driven
7. Work with engineering & data platform team to drive data availability & reliability
8. Monitor & highlight health of business by developing metric dashboards to track success & performance metrics for business functions

Requirements

1. 2+ years of hands-on experience on SQL, any BI platform (Tableau, PowerBI, Qlikview, Looker, Quicksight etc)
2. Conceptual understanding of basic statistical concepts (Sampling, Distributions, Central tendency, Hypothesis testing etc)
3. Basic understanding of data platforms and ETL processes
4. Ability to identify relevant data to solve business problems and (in)validate hypothesis
5. (Good to have) Prior data modelling experience in R/Python and some classification and/or regression techniques
6. (Good to have) Prior experience with marketing platform such as moengage, clevertap, appsflyer would be a plus
7. (Good to have) Prior experience / understanding of lending/insurance/banking domain would be a plus