Analyst II, Full Stack – Revenue Analytics

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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

• Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts • Build and maintain critical reporting data models that power external merchant reporting • Build the semantic, metadata, and context layers that allow AI systems to accurately understand Revenue data, metrics, and business definitions • Partner with Business Systems, engineering, and business stakeholders to translate requirements into durable, well-tested data products • Contribute to the team’s best practices in version control, code review, documentation, and release hygiene (GitHub-based workflows) • Develop processes, governance, and foundations to scale the impact of analytics within Revenue.

🎯 Requirements

• 3+ years of work experience in an analytics engineering or business intelligence role • Strong working knowledge of SQL, dbt, Python, data modeling, and data visualization • Hands-on experience with BI tools (Sigma/Looker/Tableau), Databricks, and cloud data warehouses (Snowflake) • Understanding of the data foundations required for reliable AI, including semantic layers, metadata, evals, metric definitions, documentation, and data quality • Demonstrated experience integrating AI tools into day-to-day analytics engineering workflows to improve development speed, quality, and scalability • Familiarity with Salesforce and experience supporting commercial areas of the business • Ability to identify user needs and translate them into robust, scalable data products • Ability to start with an ambiguous problem, deconstruct it into tangible steps, and work toward an impactful solution • Ability to communicate findings and recommendations clearly to both technical and non-technical audiences.

🏖️ Benefits

• Type of employment: Contract of Employment • Flexible Spending Wallets for tech, food and lifestyle • Away Days - wellness days to take off work and recharge • Learning & Development programs • Parental benefits • Employee Resource & Community Groups