Actively Hiring
J
BharatPe - Senior Data Analyst
Delhi
Job Description
BharatPe
Requirements
Job Description : Responsibilities will include : Functional Expertise : - Create, Update and manage data warehouse on daily basis. - Strong eye for business and demonstrated ability to create and drive strategic insights roadmaps to deliver against core business needs. - Ability to plan and stage the insights work to be done and drive the execution of this leveraging other Insights individuals. - Conduct analytics on loan portfolio, including trend analysis around growth, with various cuts (by product, partner, etc. - Conduct analytics on risk performance of loan portfolio, including conducting different NPA cuts. - Create basic live dashboards covering metrics & trend analysis (incl. visual representations/ charts) of business performance, risk performance, etc. 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 Business team to address those gaps. - Create automate reports with the help of Python, Metabases and other relevant tools for offline, online data system. Interaction : - Ability to communicate effectively and influence senior leadership. - Ability to communicate technical and statistical concepts clearly and concisely among audiences of varying technical levels. - Put in place the process & right tool for enabling data functioning. To succeed in the role : Qualification & Experience : - M.com, M. Science, Engineering or related areas. - Experience of working in Data analytics in Banking/ NBFC/ Fintech or related space. - 5 years of progressive business experience involving data and analytics. - Experience in analytics in banking and financial segment; experience in Credit risk analytics is a plus. Skills & know-how : - 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.