Staff Analytics Analyst, Full Stack – Revenue

Job not on LinkedIn

🔥 5 minutes ago

🇺🇸 United States – Remote

💵 $220k - $280k / year

⏰ Full Time

🔴 Lead

📉 Data Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Affirm

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

💳 Fintech

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity on 2021-01

Fintech • B2C • eCommerce

Affirm is a financial technology company that offers a 'Buy Now, Pay Later' service, allowing consumers to make purchases and pay for them over time with flexible payment plans. Affirm eliminates hidden fees and compound interest, providing clear terms and conditions for its users. The company also offers the Affirm Card, a debit card that allows users to request to pay over time for larger purchases or pay in full for smaller ones. Affirm partners with various retailers across multiple categories, including electronics, apparel, and travel, providing customers with the convenience of paying over time at checkout both online and in physical stores. Affirm's services are integrated with Apple Pay, enabling customers to make payments seamlessly from their iPhone or iPad.

📋 Description

• 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 semantic, metadata, context, quality, and evaluation foundations • Design and build durable, well-tested data products powering 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

🎯 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 • Experience with cloud data warehouses such as Snowflake and modern data platforms such as Databricks • Strong understanding of AI foundations including semantic layers, metadata, evaluations, documentation, lineage, access controls, and data quality • Experience applying AI tools within analytics engineering workflows • Ability to independently lead complex, ambiguous projects and deliver durable technical solutions • Experience designing scalable data products for multiple audiences and influencing technical and non-technical stakeholders • Familiarity with Salesforce • Experience supporting commercial, GTM, revenue, or sales operations teams • Visa sponsorship is not available for this position

🏖️ Benefits

• Base pay is part of a total compensation package that may include equity rewards • Monthly stipends for health, wellness and tech spending • 100% subsidized medical coverage, dental and vision for you and your dependents • Health care coverage with all premiums covered for all levels of coverage for you and your dependents • Flexible Spending Wallets with stipends for Technology, Food, various Lifestyle needs, and family forming expenses • Competitive vacation and holiday schedules • Employee stock purchase plan enabling employees to buy shares of Affirm at a discount • Reasonable accommodations during the hiring process