Business Analyst - Assistant Manager - Paytm Travel

Paytm is India's leading mobile payments and financial services distribution company. A 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 a billion Indians and bring them to the mainstream economy with the help of technology.

Paytm Travel has revolutionized the travel industry with a goal to empower millions of travelers who choose us as their preferred travel partner. We are 3 in the travel segment, in India, within a span of a few years, which proves our capability and potential to become no. 1 in the near future. Being one of the largest travel platforms in the country, our aim is to not only ensure

seamless, instant booking, but also a delightful journey. We strive to enrich customer experience by making every transaction transparent, honest and hassle free. To stay ahead of the curve, we are working aggressively towards our ambition to make travel affordable for all. With this customer centricity at our core, we strive to make Paytm Travel synonymous with a trustworthy travel partner.

We're seeking a data scientist with sharp business acumen to transform Paytm Travel's raw data into strategic gold. You'll dive deep into flights, trains and bus data to uncover hidden patterns, predict trends, and deliver actionable insights that shape business strategy. This is a pure insights generation role - your dashboards and recommendations will directly influence leadership decisions across pricing, inventory, customer experience and growth.

Mine complex datasets across flight bookings, train (IRCTC), and bus (aggregator)

ecosystems.

Develop predictive models for demand forecasting, cancellation risks, and price elasticity.

Create customer segmentation frameworks using clustering techniques.

Produce weekly insight briefs with actionable recommendations for leadership.

Build self-service dashboards (Looker) tracking core metrics and anomalies.

Conduct deep-dive analyses on critical business questions (e.g., 'Why are bus bookings

dropping in South India?').

Partner with Revenue Management on dynamic pricing strategies.

Guide Marketing on high-value customer acquisition opportunities.

Advise Product on feature prioritization based on behavioral data.

3-5 years in data science/advanced analytics (travel/OTA/e-commerce preferred).

Expert in Python (Pandas, Scikit-learn) + SQL (complex queries, optimization).

Strong statistical modeling skills (regression, time series, clustering).

Experience building Tableau/Looker/Power BI dashboards.

Ability to translate data into boardroom-ready insights.

Familiarity with big data tools (Spark, Hadoop).

Knowledge of experimentation frameworks (A/B testing).

Understanding of travel industry metrics (RPC, load factor, cancellation Curves)

1. A collaborative output-driven program that brings cohesiveness across businesses through technology 

2. Improve the average revenue per use by increasing the cross-sell opportunities

3. A solid 360 feedback from your peer teams on your support of their goals

4. Respect, that is earned, not demanded from your peers and manager

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!