BharatPe - Manager - Data Analytics
2 months ago
Job Description will include :
Functional Expertise :
- Lead a small team (3-5+ people) of Data analysts, and define & implement the data agenda for the organization.
- Design & implement set of analytics on loan portfolio, including trend analysis around growth, with various cuts (by product, partner, etc.)
- Design & implement analytics on risk performance of loan portfolio, including conducting different DPD cuts.
- Design & operationalize dashboards covering metrics & trend analysis (incl. visual representations/ charts) of business performance, risk performance, etc.
- Data warehouse - create a data warehouse strategy, and manage various data sets accordingly.
Problem Solving :
- Excellent technical competence and experience performing analysis across a breadth of techniques (e. exploratory analytics / causal inference / experimentation / ML techniques).
- Identify gaps in data, additional data needed to fulfill the defined objectives, and work with teams to address those gaps.
- Designing reports, and then creating automated reports with the help of Python, Metabases and other relevant tools for offline, online data system.
- Putting in place the right processes & tools for enabling data functioning.
Stakeholder management :
- Ability to communicate effectively to leadership, and provide key insights to aid decision making.
- Ability to communicate technical concepts clearly and concisely among audiences across functions/ levels.
- Ability to drive the execution by leveraging other functions/ individuals as needed.
To succeed in the role :
Qualification & Experience :
- M. Com, MBA, MSC-IT, MCA, B. Engineering or related areas.
- Experience of working in Data analytics in Banking/ NBFC/ Fintech or related space.
- 7+ years of progressive experience in Data analytics/ Data sciences functions.
- Breadth of experience in banking and financial segment (such as, Credit risk analytics) is a plus.
Skills & know-how :
- Should possess a strong eye for business and demonstrated ability to create and drive data strategy to deliver against core business needs.
- Strong command on SQL, Python, Advance Excel, Google spreadsheet and quantitative programming skills.
- Extensive experience working with large scale datasets and using data engineering best practices.
Technical competency :
- Convert data into the various report, real time data fetching
- Proper use case and justification to the business
- Good hands-on Python/ R or relevant data warehouse to create and use data with various ways to insert/update and fetch correct data.
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