Paytm: Analytics Lead - UPI Product | Experience : 7-9 yrs — Noida, Uttar Pradesh

About Paytm

Paytm is an Indian digital payments and financial services firm under parent One97 Communications. Its services handle consumer payments through UPI and its app-based wallet, merchant acceptance and payment gateways, with bill payments, ticketing and other commerce services on the same platform. Headquartered in Noida, the company serves consumers and merchants across India, and its employer feed lists technology and product roles for the payments ecosystem.

The position and its setting

Paytm lists Analytics Lead - UPI Product | Experience : 7-9 yrs in Noida, Uttar Pradesh, under reference 8c4d24b4-62d4-466d-9daa-b3c7804c5a67. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Product
• Employment type: Full-time Employment
• team: UPI Product

Responsibilities and work described

• 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
• A Product Manager to join our UPI team and drive product strategy, user growth, and experience excellence across our UPI-powered flows
• This role sits at the intersection of consumer behaviour, financial infrastructure, and regulatory nuance
• Own high-impact product surfaces and work closely with engineering, design, data, and business teams to ship products that millions of Indians use daily
• 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
• Building: 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
• Leadership: a team of analysts, setting priorities, reviewing outputs, and raising the bar on analytical craft
• 2
• Funnel, Growth & Behavioural Insights
• Diagnose friction points across the UPI journey using deep-dive analysis, cohort studies, and funnel decomposition
• Building: 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

Essential requirements and candidate background

• 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
• Grounding in experimentation design — hypothesis framing, sample size/power calculations, and interpreting A/B results correctly
• 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
• 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

Experience and professional background

• 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

Preferred experience and additional strengths

• Prior experience working in a UPI-regulated environment or with NPCI data/reporting constructs
• Exposure: large-scale transaction data systems and familiarity with data warehousing/pipeline concepts (e.g., working with data engineering teams on instrumentation)
• Experience: growth, lifecycle, or CRM-driven analytics
• Familiarity: fraud/risk analytics in a payments context
• Why Join Us
• Work on one of India's most critical financial infrastructure products — UPI — at massive scale
• Join a high-performance analytics org embedded deeply with product and engineering, with a bias for shipping insights that matter
• Influence decisions that affect hundreds of millions of transactions every day
• Operate in a fast-moving, ownership-driven culture where analytics leads have real authority — and real accountability

Location, schedule and contract conditions

• If you are the right fit, we believe in creating wealth for you
• With 500 mn+ registered users, 25 mn+ merchants, and unmatched transaction data depth, Paytm is uniquely positioned to define the next chapter of UPI in India — and we want you to help write it
• Advertised location: Noida, Uttar Pradesh

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Analytics Lead - UPI Product | Experience : 7-9 yrs vacancy is not an offer for reference 8c4d24b4-62d4-466d-9daa-b3c7804c5a67; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Paytm

Applications follow the official employer page linked below.

Open the official Paytm posting below and match the title and reference 8c4d24b4-62d4-466d-9daa-b3c7804c5a67.

Compare your qualifications and experience with the essential conditions for the Noida, Uttar Pradesh position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• R
• SQL
• embedded systems
• stakeholder management
• communication
• root-cause analysis