- Oficina en Mumbai
Description
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 team:
LRM Team Sales Operation team drives sales planning and execution through target setting, performance tracking, accurate reporting, data-driven insights, process management, and timely operational support to improve productivity and achieve business goals.
About the role
We are strengthening our Sales Planning and Distribution Strategy capability for Lending. As a Data Analyst, you will partner closely with the planning lead to turn business questions into clear analysis, models, and insights that drive sales planning, distribution design, and performance tracking. You will own day-to-day execution — data prep, analysis, dashboards, and scenario support — so leadership can make faster, better decisions.
Key responsibilities
-Support sales planning cycles (targets, capacity, territory/portfolio coverage, and resource allocation) with robust data and analysis
-Build and maintain models for demand forecasting, productivity, channel/partner performance, and distribution effectiveness
-Analyse sales funnel, conversion, and portfolio metrics to surface trends, gaps, and opportunities
-Design and refresh dashboards / MIS for leadership reviews (weekly / monthly / quarterly)
-Run scenario and what-if analyses for planning decisions (e.g., target stretch, channel mix, geographic prioritisation)
-Partner with Sales, Credit, Operations, Finance, and Product to reconcile definitions, pull data, and validate insights
-Ensure data quality, documentation, and consistent metric definitions across planning deliverables
-Translate analytical findings into crisp recommendations and presentation-ready narratives for leadership
Required skills & experience
-4+ years of experience as a Data Analyst / Business Analyst in BFSI, preferably Lending, retail banking, or related domains
-Strong proficiency in Excel / Google Sheets (advanced formulas, pivot tables, modelling)
-Hands-on experience with SQL for data extraction and analysis
-Experience with BI tools (e.g., Power BI, Tableau, Looker, or equivalent)
-Solid analytical problem-solving: structuring ambiguous asks, building hypotheses, and delivering actionable insights
-Comfort working with large datasets and reconciling numbers across multiple sources
-Clear written and verbal communication — able to explain analysis to non-technical stakeholders
-Preference for candidates from reputed institutions with strong quantitative / analytical academic background
Good to have
-Exposure to sales planning, MIS, distribution strategy, or go-to-market analytics.
-Exposure to AI tools.
-Familiarity with Python or R for analysis / automation
-Experience with CRM / LOS / LMS data, or sales force effectiveness metrics
-Prior work supporting AVP/VP or similar leadership stakeholders in a fast-paced environment
Why join us:
We support our people by providing a range of flexible working options so they can work in the way that best suits them. We also offer you the opportunity to develop your career, working in a diverse and inclusive workplace where the diverse backgrounds, perspectives and life experiences of our people are celebrated and create a great place to grow, thrive and belong. Most importantly, for us Work is Fun!!
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! democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here.
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