Staff Analytics Analyst, Full Stack (Revenue)
Affirm - Baltimore, MD
Hiring: Staff Analytics Analyst, Full Stack (Revenue) Company: Affirm Location: Baltimore, MD Job Posted Time: 2026-09-17 10:37:39 Employment Type: Remote Target Skills & Keywords : Data Warehouse, Databricks, REST, SQL, Salesforce, Snowflake, dbt About the job Experience: •7+ years of experience in analytics engineering, business intelligence, data engineering, data product development, or a related technical analytics role. Required Skills: •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. Compensation: •$220,000 - $280,000 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!