Staff Analytics Analyst, Full Stack (Revenue)

Affirm; United States; Remote; USD 173,000 - 233,000; Full time

Benefits offered by this job

Health care coverage

Flexible Spending Wallets

Time off

ESPP

Job summary

Affirm is seeking an experienced analytics engineer to join the Revenue Analytics team. You will lead scalable data products, define the data layer direction, and enable AI-enabled analytics across revenue functions.

You’ll work on semantic foundations, governance, and cross-functional collaboration to deliver durable, trusted data for executives, analysts, and external reporting. This role is remote-first within the U.S.

Qualifications

• 7+ years in analytics engineering or related technical analytics role.
• Deep expertise in SQL, dbt, data modeling, metrics design.
• Strong knowledge of BI tools (Sigma/Looker/Tableau) and cloud/data platforms (Snowflake, Databricks).
• Solid understanding of AI foundations for analytics: semantic layers, metadata, data quality, and governance.
• Proven ability to independently lead complex, ambiguous projects and deliver durable solutions.
• Experience building scalable data products for multiple audiences and stakeholders.
• Familiarity with Salesforce and supporting GTM/revenue or sales ops.

Responsibilities

• Lead high-impact data product initiatives for Revenue from design to adoption.
• Advance AI initiatives within the Revenue data ecosystem and establish semantic foundations.
• Design and build durable, well-tested data products powering revenue reporting and self-service.
• Set technical direction for Revenue’s data layer, metrics, semantics, and governance.
• Identify opportunities to automate and scale Revenue Analytics through better architecture and tooling.
• Provide technical leadership and mentorship to analysts and cross-functional partners.

Skills

Analytics engineering

SQL

dbt

Data modeling

Metrics design

Data quality

Documentation

AI in analytics

BI tools

Tools

Snowflake

Databricks

Looker

Sigma

Tableau

Job description

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

About the Team

We’re looking for an experienced, highly independent analytics engineer to join our Revenue Analytics team. This team owns the data products, reporting infrastructure, semantic foundations, and analytical systems that support affirm’s Revenue organization.

About the Role

In this role, you will lead the development of scalable, trusted data products for affirm’s revenue teams. You turn ambiguous business and technical problems into scalable solutions across data modeling, metrics, dashboards, automation, governance, and AI enablement. You will help set the technical direction for Revenue’s data layer, establish the semantic and metadata foundations required for AI, and raise the quality and impact of data across the Revenue organization.

What You’ll Do

• Lead high-impact data product initiatives for Revenue, from ambiguous problem definition through technical design, implementation, rollout, and adoption.
• Advance AI initiatives within the Revenue data ecosystem by identifying high-value use cases, integrating AI into analytics engineering workflows, and establishing the semantic, metadata, context, quality, and evaluation foundations required for AI.
• Design and build durable, well-tested data products that power revenue operations, field and executive 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.
• Identify opportunities to simplify, automate, and scale Revenue Analytics through improved data architecture, tooling, governance, and enablement.
• Provide technical leadership and mentorship to analysts and cross-functional partners, raising the bar for how data products are designed, built, and maintained.

What We Look For

• 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.
• Strong understanding of the foundations required for reliable AI—including semantic layers, metadata, evaluations, documentation, lineage, access controls, and data quality—and experience applying AI tools within analytics engineering workflows.
• Demonstrated ability to independently lead complex, ambiguous projects by defining scope, sequencing work, managing tradeoffs, aligning stakeholders, and delivering durable technical solutions.
• Experience designing scalable data products for multiple audiences and influencing technical and non-technical stakeholders around architecture and product direction.
• Familiarity with Salesforce and experience supporting commercial, GTM, revenue, or sales operations teams.

Pay Grade - O

Equity Grade - 6

Employees new to affirm typically come in at the start of the pay range. affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)

CAN base pay range per year: $173,000 - $233,000

Please note that visa sponsorship is not available for this position.

#LI-Remote

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. affirmers in proximal roles have the flexibility to work remote, but will occasionally be required to work out of their assigned affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

Benefits

• Health care coverage - affirm covers all premiums for all levels of coverage for you and your dependents
• Flexible Spending Wallets - generous stipends for spending on technology, food, various lifestyle needs, and family forming expenses
• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
• ESPP - An employee stock purchase plan enabling you to buy shares of affirm at a discount

We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, affirm will consider for employment qualified applicants with arrest and conviction records.

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