Business Analyst (2 to 4 Years), Merchant
PhonePe
About the Role
PhonePe is a technology company building digital platforms for Payments, Digital Distribution Services, and Financial Services. This role involves defining critical metrics, monitoring performance, and influencing business decisions that impact millions of users. You will own the entire insight generation phase, provide unbiased answers through deep analysis, and present evidence backed by data-driven hypotheses. You will also act as an analytics and visualization Subject Matter Expert (SME) for the team, mentor other analysts, and participate in hiring and onboarding.
Key Responsibilities
- Define critical metrics and monitor performance trends to influence interventions.
- Collaborate with business and product functions to translate business problems into analytical problem statements.
- Own the insight generation phase, conducting deep analysis to provide data-driven answers.
- Contribute individual thoughts on improving critical metrics, thinking like a business owner.
- Serve as the analytics and visualization SME, ensuring easy consumption of data through dashboard design and development.
- Mentor other analysts and play an active role in hiring and onboarding new team members.
Requirements & Tech Stack
- SQL: Ability to write complex queries to manipulate and consolidate multiple data sources.
- Excel: Strong working knowledge.
- Visualization Tools: PowerBI, Tableau, QlikView.
- Data Analysis Languages: Understanding of R, Python.
- Statistical Concepts: Core understanding expected.
- Communication: Ability to clearly explain thoughts and ideas verbally and in writing.
Qualifications
- Minimum 2 years of overall analytics experience.
- Minimum 1 year of experience in the lending domain.
- Strong problem-solving and analytical skills.
- Penchant for business and curiosity to understand product functionality.
- Intuition for data and ability to handle big data sources.
- Candidates who can explain the story behind their analysis will have an advantage.
Experience in building ML models is good-to-have, but not mandatory.



