Staff Analytics Analyst, Full Stack (Revenue)

Affirm

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$220,000–$280,000 / yr
Posted
37 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $177k
This role $250k
$112k most similar roles pay here $298k

This role pays more than 83% of similar roles. Most pay $129,700–$224,250 — the shaded band above. At the midpoint, this role pays about $250k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About Affirm

Affirm is a buy-now, pay-later (BNPL) financial technology company that offers point-of-sale installment loans to consumers, allowing them to split purchases into fixed monthly payments with transparent terms. Industry: Financial Technology & Consumer Lending

Affirm currently has 60 open roles on FindRole.

Listed pay typically runs $195,000–$255,000 across 60 roles with salary data.

Most-posted roles

View all roles at Affirm

At a glance

TL;DR · Staff Analytics Analyst, Full Stack (Revenue)

Staff Analytics Analyst, Full Stack (Revenue) joins the Revenue Analytics team to lead the development of scalable data products for revenue operations, reporting, and analyst self-service. This role involves transforming ambiguous business problems into technical solutions involving data modeling, metrics, automation, and AI enablement. The individual will establish semantic foundations for AI, manage dbt models, and oversee governance, documentation, and lineage within the revenue data layer. Key responsibilities include designing durable products for executive reporting and merchant use while providing technical mentorship to cross-functional partners. Required expertise includes SQL, dbt, Snowflake, Databricks, and BI tools like Sigma, Looker, or Tableau. The role also requires proficiency in Salesforce and experience supporting commercial, GTM, revenue, or sales operations teams to solve complex data architecture challenges within the revenue domain.

What you'll do

  • Lead high-impact data product initiatives from initial problem definition through technical design and implementation.
  • Build durable, well-tested data products for revenue operations, executive reporting, and analyst self-service.
  • Advance AI initiatives by integrating AI into workflows and establishing necessary semantic and metadata foundations.
  • Set the technical direction for the revenue data layer including dbt models, metrics, and governance.
  • Identify opportunities to simplify and automate analytics through improved architecture and tooling.
  • Provide technical leadership and mentorship to analysts and cross-functional partners on data product design.

What we're looking for

  • 7+ years of experience in analytics engineering, business intelligence, data engineering, or a related technical analytics role.
  • Deep expertise in SQL, dbt, data modeling, metrics design, data quality, documentation, and modern analytics engineering practices.
  • Working knowledge of BI tools such as Sigma, Looker, or Tableau.
  • Experience with cloud data warehouses like Snowflake and modern data platforms like Databricks.
  • Understanding of foundations for reliable AI including semantic layers, metadata, evaluations, and data quality.
  • Ability to independently lead complex projects by defining scope, managing tradeoffs, and aligning stakeholders.
  • Experience designing scalable data products and influencing technical and non-technical stakeholders on architecture.
  • Familiarity with Salesforce and experience supporting commercial, GTM, revenue, or sales operations teams.

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