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Deputy General Manager - Product Analyst Lead

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Work setting
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Work setup in the employer’s posting: onsite
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Not stated

What you’ll work on

Full posting

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.

  • Own end-to-end analytics for UPI surfaces, from metric definition to insight generation

  • Diagnose friction across the UPI funnel with cohort studies and funnel analysis

  • Design, power and evaluate A/B tests across the UPI funnel

  • Build root-cause playbooks for payment failure spikes and incident drop-offs

  • Build self-serve dashboards so non-analyst teams can access trusted insights

From the employer’s posting
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 flows.This 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 daily.
Own the end-to-end analytics charter for one or more UPI surfaces
Diagnose friction points across the UPI journey using deep-dive analysis, cohort studies, and funnel decompositionBuild
design, power, and evaluate A/B tests across the UPI funnel
Build root-cause analysis playbooks for payment failure spikes and incident-linked drop-offs
Build self-serve dashboards and tooling that let product, engineering, and business teams access trusted insights without analyst dependency

What you’ll bring

All qualifications

Core experience

  • 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
  • Prior experience working in a UPI-regulated environment or with NPCI data/reporting constructs
  • Experience building and owning dashboards and metrics frameworks at scale, including data quality and governance practices
  • Experience with growth, lifecycle, or CRM-driven analytics
  • Experience managing or mentoring a team of analysts, with a demonstrated ability to review work and raise analytical standards
  • Familiarity with fraud/risk analytics in a payments context
Qualification wording
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
Prior experience working in a UPI-regulated environment or with NPCI data/reporting constructs
Experience building and owning dashboards and metrics frameworks at scale, including data quality and governance practices
Experience with growth, lifecycle, or CRM-driven analytics
Experience managing or mentoring a team of analysts, with a demonstrated ability to review work and raise analytical standards
Familiarity with fraud/risk analytics in a payments context
Apply at Paytm

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Status in our records
Live
First seen by us
Sep 14, 202650 days ago
Recorded sightings
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Last seen by us
Nov 4, 2026

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Day 50

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6 open jobs

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  • Python
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  • SQL
  • Metabase
Where the posting names them
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 correctlyProven ability to translate ambiguous business questions into structured analyses and clear, decision-ready recommendations

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About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

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 flows.This 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 daily.

Key Responsibilities

1. Analytics Strategy & OwnershipOwn the end-to-end analytics charter for one or more UPI surfaces — from metric definition to instrumentation to insight generationBuild 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 standardsLead a team of analysts, setting priorities, reviewing outputs, and raising the bar on analytical craf
t2. Funnel, Growth & Behavioural InsightsDiagnose friction points across the UPI journey using deep-dive analysis, cohort studies, and funnel decompositionBuild engagement, frequency, and top-of-wallet models to inform product and growth strategyDesign analytical frameworks for discovery and nudge effectiveness as new UPI capabilities are adoptedPartner with design and product research to combine quantitative and qualitative signals into a single narrative
3. Platform Reliability & Scale AnalyticsDefine and monitor SLA, success-rate, and latency benchmarks; build alerting and anomaly-detection frameworks tied to these metricsBuild root-cause analysis playbooks for payment failure spikes and incident-linked drop-offsModel traffic and failure patterns ahead of high-volume events (festive seasons, IPL, government disbursements) to support platform readiness
4. Experimentation & Decision ScienceOwn the experimentation backbone — design, power, and evaluate A/B tests across the UPI funnelDrive a test-and-learn culture: hypothesis → experiment → read-out → scale, with statistically sound methodologyBuild self-serve dashboards and tooling that let product, engineering, and business teams access trusted insights without analyst dependencyProactively 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 correctlyProven 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

Employment type

On-roll

Source details

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Noida, Uttar Pradesh

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