Business Analytics - Team Lead

Job Description

Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half abillion Indians and bring them to the mainstream economy with the help of technology. About the role : Evangelize and demonstrate the value and impact of analytics for informed business decision-making by developing and deploying analytical solutions and providing data-driven insights to business stakeholders to understand and solve various business nuances. Responsibilities : 1. The role involves working closely with Product and Business stakeholders to empower data-driven decision-making and generate insights that will help grow the key metrics1. 2. Writing SQL/HIVE queries for data mining 3. Performing deep data analysis on MS Excel and sharing regular actionable insights 4. Responsible for performing data driven analytics to generate business insights 5. Automating the regular reports/MIS using tools like HIVE, Google Data Studio and coordinating with different teams 6. Strongly follow-up with concerned teams to make sure that our business & financial metrics are met 7. Look at data from various cuts / cohorts to suggest insights - Analysis based on multiple cohorts - Transaction, GMV, Revenue, Gross Margin, users etc. for both offline & online payments Mandatory Technical Skills needed - 1. Distinctive problem solving and analysis skills, combined with impeccable business judgment. 2. Proficient in SQL/HIVE/Data Mining & Business Analytics - Proficient in Microsoft Excel. 3. Derive business insights from data with a focus on driving business level metrics. Eligibility Criteria : 1. Minimum 2 years of experience as Data Analyst / Business Analyst. 2. Ability to interact and convince business stakeholders. 3. Hands on with SQL (sub-query and complex query), Excel / Google Sheets, and data visualization tools (Looker studio, Power BI). 4. Ability to combine structured & unstructured data. 5. Worked on large datasets of the order of 5 Million 6. Experimentative mind-set with attention to detail. Compensation : If you are the right fit, we believe in creating wealth for you With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India's largest digital lending story is brewing here. It’s your opportunity to be a part of the story!