Intern- Analytics

SQL, Tableau, PowerBI, R, Python, Excel

About PhonePe PhonePe is India’s leading digital payments platform with over 280 million registered users. Using PhonePe, users can send and receive money, recharge mobile, DTH, data cards, pay at stores, make utility payments, buy gold, and make investments. PhonePe went live for customers in August 2016 and was the first non-banking UPI app and offered money transfers to individuals and merchants, recharges, and bill payments to begin with. In 2017, PhonePe forayed into financial services with the launch of digital gold, providing users with a safe and convenient option to buy 24-karat gold securely on its platform. PhonePe has since launched Mutual Funds and Insurance products like tax-saving funds, liquid funds, international travel insurance, and Corona Care, a dedicated insurance product for the COVID-19 pandemic among others. PhonePe launched its Switch platform in 2018, and today its customers can place orders on over 300 apps including Ola, Myntra, IRCTC, Goibibo, RedBus, Oyo, etc. directly from within the PhonePe mobile app. PhonePe is accepted at over 18 million merchant outlets across 500 cities nationally. Culture At PhonePe, we take extra care to make sure you give your best at work, Everyday! And creating the right environment for you is just one of the things we do. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. Being enthusiastic about tech is a big part of being at PhonePe. If you like building technology that impacts millions, ideating with some of the best minds in the country, and executing your dreams with purpose and speed, join us! 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 question the status quo, then you'd fit right in with us. What would you get if you work with us? You'll be closely working on problem statements and influencing decisions that impact 300M people. That's 20% of the country if you're not keeping track. You'll get to interact with some of the smartest professionals that the country has to offer and get exposure to all facets of building a product at scale. You get complete ownership and responsibility of all analytics support for your area - right from identifying the problem to presenting it to the CEO if need be. What would you get to do in this role? - Be an integral part of the pod strategy and will have to define the critical metrics. You'll also monitor performance trends and influence any interventions, based on performance. - Collaborate closely with the business, and product functions to understand the business problem and translate them into the right analytical problem statement - Work on deep, thorough analysis to provide unbiased answers to the identified problem statement. These insights and decisions will be influenced based on your presentation of the evidence, backed by a data-driven hypothesis - Move past just being the "Data person" and contribute with individual thoughts on how to improve the critical metrics for the pod. We love people who think of themselves as the business owner and then go back to the data to prove or disprove the thought. - Act as the analytics and visualization SME for the team and ensure that the dashboards are designed and built in a way that makes it easy for the pod to consume the data they need - Mentor other analysts in the team; play an active role in the hiring process & new team members' onboarding process What do you need to have to apply for this position? - Strong problem solving & analytical skills - Penchant for business & curiosity to understand how the product works - Ability to write complex queries on SQL to manipulate, consolidate multiple data sources for the purpose of dashboarding and analysis - Intuition for data and ability to handle big data sources - Strong working knowledge in Excel and visualization tools like PowerBI, Tableau, QlikView - Understanding of data-analysis languages such as R, Python, and core statistical concepts is expected; - Experience in building ML models is good-to-have, but not mandatory - Ability to clearly explain thoughts and ideas either verbally or in written form. - Candidates who are able to explain the story behind their analysis will find themselves at an advantage