Roles and Responsibilities:
- Understand decision making needs of business functions ( Credit / Risk, collections 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
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