BharatPe - Manager - Data Analytics

3 months ago


Delhi Division, India BharatPe Full time

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.

(ref:hirist.tech)

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