Deputy General Manager - Product Analyst Lead Location: Noida, Uttar Pradesh

Product: UPI Product

Employment Type: On-roll / In office

About the Role UPI is the backbone of India's digital payments revolution - and Paytm is one of its largest participants, processing hundreds of millions of transactions every month. We are looking for an Analytics Lead to join our UPI team and own the data and insights charter that powers product, growth, and platform decisions across our UPI-powered role sits at the intersection of consumer behaviour, financial infrastructure, and large-scale data systems. You will build the analytical backbone for UPI - from funnel and cohort frameworks to experimentation infrastructure - and work closely with product, engineering, data science, and business teams to turn transaction-scale data into decisions that affect millions of Indians.

Responsibilities

1. Analytics Strategy & Ownership
- Own the end-to-end analytics charter for one or more UPI surfaces - from metric definition to instrumentation to insight generation
- Build and maintain the source-of-truth framework for north-star and guardrail metrics across the UPI funnel (initiation, authentication, success/failure, retention)
- Partner with NPCI-mandated reporting requirements and ensure analytical rigor aligns with regulatory data standards
- Lead a team of analysts, setting priorities, reviewing outputs, and raising the bar on analytical craft

- Funnel, Growth & Behavioural Insights

- Diagnose friction points across the UPI journey using deep-dive analysis, cohort studies, and funnel decomposition
- Build engagement, frequency, and top-of-wallet models to inform product and growth strategy




- Design analytical frameworks for discovery and nudge effectiveness as new UPI capabilities are adopted
- Partner with design and product research to combine quantitative and qualitative signals into a single narrative

- Platform Reliability & Scale Analytics

- Define and monitor SLA, success-rate, and latency benchmarks; build alerting and anomaly-detection frameworks tied to these metrics
- Build root-cause analysis playbooks for payment failure spikes and incident-linked drop-offs
- Model traffic and failure patterns ahead of high-volume events (festive seasons, IPL, government disbursements) to support platform readiness

- Experimentation & Decision Science

- Own the experimentation backbone - design, power, and evaluate A/B tests across the UPI funnel
- Drive a test-and-learn culture: hypothesis experiment read-out scale, with statistically sound methodology
- Build self-serve dashboards and tooling that let product, engineering, and business teams access trusted insights without analyst dependency
- Proactively surface insights that shape upstream roadmap and prioritization decisions

Required Qualifications

- 7-9 years of analytics/data experience, with a mandatory focus on consumer-facing products or fintech; prior experience in payments or UPI strongly preferred
- Strong command of SQL and hands-on experience with product analytics tools (Mixpanel, Amplitude, Metabase,



or equivalent); working knowledge of Python/R for deeper statistical analysis
- Solid grounding in experimentation design - hypothesis framing, sample size/power calculations, and interpreting A/B results correctly
- Proven ability to translate ambiguous business questions into structured analyses and clear, decision-ready recommendations
- Experience building and owning dashboards and metrics frameworks at scale, including data quality and governance practices
- Strong written and verbal communication skills - ability to present findings crisply to leadership and align cross-functional stakeholders
- Experience managing or mentoring a team of analysts, with a demonstrated ability to review work and raise analytical standards

Good to Have

- Prior experience working in a UPI-regulated environment or with NPCI data/reporting constructs
- Exposure to large-scale transaction data systems and familiarity with data warehousing/pipeline concepts (e.g., working with data engineering teams on instrumentation)
- Experience with growth, lifecycle, or CRM-driven analytics
- Familiarity with fraud/risk analytics in a payments context

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

📌 Paytm - Deputy General Manager- Product Analyst Lead (India)
🏢 Paytm
📍 India