Business Analyst (2-4 Years)

About the Role

PhonePe is a technology company building digital platforms for Payments, Digital Distribution Services, and Financial Services. The PhonePe digital payments app was launched in 2016 and has a significant user base and merchant network.

About You

We are looking for first-principle problem solvers who are passionate about working with data and uncovering insights. If you are a curious mind who constantly questions the status-quo, you would fit right in.

What You Will Get

• Work on problem statements and influence decisions impacting millions.
• Interact with experienced professionals and gain exposure to building products at scale.
• Complete ownership and responsibility for analytics support in your area, from problem identification to executive presentations.

Key Responsibilities

• Define critical metrics for pod strategy and monitor performance trends.
• Collaborate with business and product functions to understand business problems and translate them 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 as a business owner.
• Act as the analytics and visualization SME, ensuring consumable dashboards.
• Mentor other analysts, and participate in hiring and onboarding.

Requirements & Tech Stack

• SQL for complex query writing to manipulate data sources.
• Excel
• Visualization tools: PowerBI, Tableau, QlikView.
• Data-analysis languages: R, Python.
• Core statistical concepts.

Qualifications

• Minimum 2 years of overall analytics experience.
• 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.
• Ability to clearly explain thoughts and ideas verbally and in writing.
• 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.