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Senior Analytics Manager - Payments and Identity

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Location:
United States; Canada; Mexico , San Francisco ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

121000.00 - 228500.00 USD / Year
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Job Description:

As Senior Analytics Manager, Payments & Identity, you will be the senior analytics leader for the platforms that power our subscription business. Your scope spans the full monetization and identity lifecycle, from subscription and billing outcomes to payment performance to account creation, authentication, and identity risk. You will define how we measure and optimize the systems behind millions of transactions and logins across markets, currencies, entities, and payment service providers. You will build the analytics foundations that make payments and identity data trustworthy and self-serve, and use those foundations to drive clear, data-backed decisions with product, engineering, finance, and executive stakeholders.

Job Responsibility:

  • Lead end-to-end analytics for the payments lifecycle, including authorization and settlement, retries and dunning, recapture, passive churn, and bill-through, and tie these metrics directly to subscriber, revenue, and unit economics outcomes
  • Develop and own the core Payments KPI framework (for example Payment Success Rate, authorization and settlement rates, payment service provider volume share, cost per transaction, cost of ownership, fraud and chargeback guardrails) and use it to guide strategy and vendor decisions
  • Lead analytics for Identity flows, including account creation, authentication, login and signup friction, error and lockout rates, dormant account behavior, and identity risk and safety metrics, and build the initial analytics foundation and metrics framework for the Identity squad
  • Build and maintain reliable dashboards and reporting that provide a holistic view of Payments & Identity health, designed with performance, cost, and self-serve use in mind, primarily using Looker and Databricks
  • Partner with Product, Engineering, Finance, and Operations on payments & identity strategy, routing and configuration changes, fraud controls, billing changes, and other key initiatives, quantifying tradeoffs across revenue, cost, risk, and customer experience
  • Drive instrumentation, observability, and data quality for Payments and Identity by defining event and data requirements, partnering with engineering on tracking and monitoring, and putting in place checks and alerts for key flows and metrics
  • Collaborate with Data Platform and Data Engineering on data models that make Payments and Identity data easier to query, debug, and monitor, and that support fast experimentation and operational reporting
  • Manage and mentor analysts (starting with a payments-focused analyst), providing coaching, feedback, and review, and helping define best practices for Payments & Identity analytics

Requirements:

  • 7+ years of experience in analytics (for example product, payments, or platform analytics), ideally in a subscription or consumer environment, with a track record of leading high-impact work end to end
  • Deep, hands-on domain expertise in payments and identity, including authorization and settlement, retries and dunning, decline reasons, fraud and chargebacks, identity and authentication flows, and evaluating payment service providers on both performance and cost
  • Experience leading or managing analysts, including setting direction, reviewing complex work, and developing others
  • Strong technical toolkit: advanced SQL
  • experience with a programming language such as Python or R
  • and comfort working with modern data warehouses and observability tools (for example Databricks and Datadog)
  • Deep experience with BI tools such as Looker, including designing and maintaining performant, cost-conscious dashboards that teams can safely use for self-serve decision-making
  • Experience with payments and subscription analytics (for example authorization and settlement rates, bill-through, recapture, passive churn, payment service provider volume share, LTV, unit economics) and lifecycle or cohort analysis
  • Experience with experimentation and event instrumentation for billing, payments, or identity flows, including defining success metrics, working with experimentation platforms such as StatSig, and producing clear experiment readouts and narratives for senior audiences
  • Excellent communication and stakeholder management skills, with a track record of translating complex analyses into clear, concise stories and influencing senior partners across product, engineering, finance, and operations
What we offer:
  • Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
  • 12 weeks paid parental leave
  • Short-term/long-term disability plans
  • 401k/RSP matching
  • Onboarding stipend for home office peripherals + accessories
  • Learning & Development allowance
  • Learning & Development programs
  • Quarterly stipend for Wellness, WiFi, etc.
  • Mental Health support & resources
  • Free subscription to the Scribd Inc. suite of products
  • Referral Bonuses
  • Book Benefit
  • Sabbaticals
  • Company-wide events
  • Team engagement budgets
  • Vacation & Personal Days
  • Paid Holidays (+ winter break)
  • Flexible Sick Time
  • Volunteer Day
  • Company-wide Employee Resource Groups and programs that foster an inclusive and diverse workplace
  • Access to AI Tools: We provide free access to best-in-class AI tools, empowering you to boost productivity, streamline workflows, and accelerate bold innovation

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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