Business Analyst - Assistant Manager - Paytm Travel

About Us :

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 a billion Indians and bring them to the mainstream economy with the help of technology.

About the travel team:

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 no. 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.

About the Role:

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

Key Responsibilities:

1. Advanced Travel Data Analysis

Mine complex datasets acrossflight bookings, train (IRCTC), and bus (aggregator) ecosystems.

Developpredictive modelsfor demand forecasting, cancellation risks, and price elasticity.

Createcustomer segmentation frameworksusing clustering techniques.

2. Insight Generation & Storytelling

Produceweekly insight briefswith actionable recommendations for leadership.

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

Conductdeep-dive analyseson critical business questions (e.g., Why are bus bookings dropping in South India).

3. Cross-Functional Advisory

Partner withRevenue Managementon dynamic pricing strategies.

GuideMarketingon high-value customer acquisition opportunities.

AdviseProducton feature prioritization based on behavioral data.

What We're Looking For:

Must-Have:

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

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

Strongstatistical modelingskills (regression, time series, clustering).

Experience buildingTableau/Looker/Power BIdashboards.

Ability totranslate data into boardroom-ready insights.

Nice-to-Have:

Familiarity withbig data tools(Spark, Hadoop).

Knowledge ofexperimentation frameworks(A/B testing).

Understanding oftravel industry metrics(RPC, load factor, cancellation curves).

Why join us:

Because you get an opportunity to make a difference, and have a great time doing that. You are challenged and encouraged here to do stuff that is meaningful for you and for those we serve. We are successful, and our successes are rooted in our people's collective energy and unwavering focus on the customer, and that's how it will always be

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!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.