Business Analyst - Senior Manager - Bill Payments

About Us:

About the team:

Join the Recharges & Bill Payments Product team at Paytm, which touches millions of users daily across 26+ categories, including Mobile Recharges, Electricity Bills, DTH, Credit Card Bills, and FASTag. As a team, we operate at the intersection of scale, reliability, and innovation, constantly reimagining how India pays its bills. You'll be part of a fast-paced, data-driven environment with end-to-end ownership, where every experiment and product improvement directly impacts user experience for millions. If you're excited about solving complex problems at scale and building for Bharat, this is the place for you.

About the Role:-

Responsibilities

1) Collaborate with cross-functional teams to understand business needs and translate them into data requirements.

2) Design, build, and maintain data pipelines to ensure accurate and timely collection, transformation, and analysis of data

3) Develop and maintain data dashboards, reports, and visualizations to communicate insights to stakeholders

3) Identify patterns and trends in data, and provide recommendations to improve product performance, adoption, user experience and business outcomes

4) Work with the product team to design and execute experiments to validate hypotheses and measure the impact of product changes

5) Develop and implement statistical models to support forecasting, predictive analytics, and optimization

6) Help define and monitor key performance indicators for commerce products

7) Identify opportunities for data-driven innovation and contribute to the development of new product features and capabilities.

Qualifications:

1) Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, or a related field

2) 5+ years of experience in data analysis, preferably in a business development environment

3) Strong analytical skills and experience with statistical analysis, data mining, and machine learning techniques

4) Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment

5) Experience with data visualization tools such as Google Data Studio or Looker.

6) Proficiency in SQL and experience with database systems such as MySQL, PostgreSQL, or HiveQL.

7) Expertise with programming languages such as Python or R is a plus

Why join us :

Compensation: