Business Intelligence - PhonePe Lending

Job Description

What kind of person are we looking for

First-principle problem solvers who are passionate about working with data and uncovering the stories that the numbers hide. If you're a curious mind and constantly questions the status-quo, then you'd fit right in with us.

What would you get if you worked with us

You get complete ownership and responsibility of all analytics support for your area - right from identifying the problem to presenting to the Leadership, if need be.

• Be an integral part of the CX strategy team and define the critical metrics to understand CX performance. Monitor performance trends and do data analysis for any interventions done to improve customer experience.
• Collaborate closely with the other CX teams like process design, Product operations, CX operations, Automation, etc. to highlight problems/inefficiencies and translate them into the right analytical problem statement
• Own the entire insight generation and build the CX story by working on deep, thorough analysis to provide unbiased answers on the identified problem statement. Also, come up with unidentified / unknown problem statements based on new data insights. These insights and decisions will be influenced based on your presentation of the evidence, backed by data-driven hypothesis
• Identify development needs in order to improve and streamline operations & other CX related problems on to the system.
• Move past just being the Data person and contribute with individual thoughts on how to improve the critical metrics for the CX function. We love people who think of themselves as the business owner and then go back to the data to prove or disprove the thought.
• Work with central analytics team to ensure that the dashboards are designed and built in a way that makes it easy for the teams to consume the data they need

• Minimum 1-2 year of analytics experience in relevant roles
• Strong problem solving & analytical skills
• Penchant for business & curiosity to understand how the product works
• Intuition for data and ability to handle big data sources
• Strong working knowledge in Excel and visualization tools like PowerBI, Tableau, Qlik Sense
• Ability to clearly explain thoughts and ideas either verbally or in the written form.
• Candidates who are able to explain the story behind their analysis will find themselves at an advantage
• Ability to write complex queries on SQL to manipulate, consolidate multiple data sources for the purpose of dashboarding and analysis, is a pulse.
• Understanding of data-analysis languages such as R, Python and in core statistical concepts is good to have.
• Experience in building ML models is good-to-have, but not mandatory.