Staff Analytics Analyst, Full Stack (Revenue)

Affirm
United States, Canada
Workplace: RemoteFull timeUSD 195,000 - 280,000 annuallyFunction: Data Analytics & Business IntelligenceSkills: ["Independent leadership","Stakeholder management","Technical leadership","Mentorship","Project execution"]

Lead scalable, trusted data product initiatives for Affirm’s Revenue Analytics team. Own the end-to-end analytics engineering lifecycle—data modeling, metrics, semantic and metadata foundations, dashboards, automation, governance, and testing—while setting technical direction for the Revenue data layer using dbt. Advance AI enablement by building semantic/evaluation foundations for analytics workflows, improving data quality and access controls, and partnering with Revenue stakeholders and GTM ops teams.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Affirm
Affirm
22 hours ago

Staff Analytics Analyst, Full Stack (Revenue)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Lead scalable, trusted data product initiatives for Affirm’s Revenue Analytics team. Own the end-to-end analytics engineering lifecycle—data modeling, metrics, semantic and metadata foundations, dashboards, automation, governance, and testing—while setting technical direction for the Revenue data layer using dbt. Advance AI enablement by building semantic/evaluation foundations for analytics workflows, improving data quality and access controls, and partnering with Revenue stakeholders and GTM ops teams.
Location: United States, Canada
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Lead high-impact data product initiatives for Revenue, from ambiguous problem definition through design, implementation, rollout, and adoption.
  • •Advance AI initiatives within the Revenue data ecosystem by identifying use cases, integrating AI into analytics engineering workflows, and establishing semantic, metadata, context, quality, and evaluation foundations.
  • •Design and build durable, well-tested data products powering revenue operations reporting, external merchant reporting, and analyst self-service.
  • •Set technical direction for Revenue’s data layer across dbt models, metrics, semantic structures, documentation, lineage, testing, governance, and access controls.
  • •Provide technical leadership and mentorship to analysts and cross-functional partners, improving how data products are designed, built, and maintained.

Pay and Benefits

Salary: USD 195,000 - 280,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionEsppRemote WorkTime Off

Key Requirements

  • •7+ years of experience in analytics engineering, business intelligence, data engineering, data product development, or a related technical analytics role.
  • •Deep expertise in SQL, dbt, data modeling, metrics design, data quality, documentation, and modern analytics engineering practices.
  • •Strong working knowledge of BI tools such as Sigma, Looker, or Tableau; cloud data warehouses such as Snowflake; and modern data platforms such as Databricks.
  • •Experience building reliable AI foundations (semantic layers, metadata, evaluations, documentation, lineage, access controls, data quality) and applying AI tools within analytics engineering workflows.
  • •Demonstrated ability to independently lead complex, ambiguous projects from scope through delivery, aligning stakeholders and delivering durable solutions.
Experience:Analytics engineeringBusiness intelligenceData engineeringData product developmentAI enablementRevenue operations
Skills:Independent leadershipStakeholder managementTechnical leadershipMentorshipProject execution
Languages:English
Tech Stack:SQLDbtSigmaLookerTableauSnowflakeDatabricksSalesforceData modelingSemantic layersMetadataLineageGovernanceAI toolsDashboardsAutomationDocumentationTestingAccess controls

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Affirm
Provides point-of-sale lending and buy-now-pay-later (BNPL) solutions for consumers and merchants, enabling installment payments, consumer financing, and embedded financial services through APIs and partnerships with retailers and platforms.
Industry: Lending
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2012
WebsiteLinkedIn