Analytics Engineer, Affirm
Full Stack, Revenue Analytics
€63-99k
+ ESPP
More information about location
Buy-now-pay-later card for online and in-store
Open for applications
Buy-now-pay-later card for online and in-store
1001+ employees
Open for applications
€63-99k
+ ESPP
More information about location
1001+ employees
Company mission
To deliver honest and transparent financial products that improve users' lives.
Role
Who you are
- 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
What the job involves
- We’re looking for a curious, driven professional to join our Revenue Analytics team
- This builds and owns the data products, reporting infrastructure, semantic foundations, and analytical systems that power Affirm’s Revenue organization
- As a Analyst at Revenue Analytics, you’ll build scalable data products that power day-to-day decision-making - owning end-to-end work across data modeling, metric definitions, dashboards, automation, and enablement
- You’ll also help strengthen our semantic layer and data governance, laying the foundation for reliable AI
- The ideal candidate combines strong technical and analytical skills with the ability to turn ambiguous business questions into durable, well-tested data infrastructure
- 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
Our take
Affirm offers point-of-sale loans to consumers, working with merchants like Shopify, KAYAK, and Walmart. Buy now, pay later transactions have grown in popularity in recent years, and this business is tapping into the market with a totally different approach to credit - by delivering the Affirm card, the first US debit card with the option to pay-over-time.
Serving over 21 million consumers and over 300,000 merchants, the company offers flexible payback options ranging from 3 to 36 months. The interest rates run between 0% and 30%, so, while they are not necessarily the cheapest option, Affirm prides itself on having no fees for late payments, no hidden charges, and total transparency about what people will pay before they take out a loan.
Affirm collects payments from the customers and pays the merchants directly, shouldering the risk itself. The company has boosted its market share, expanding its availability beyond the US to include most of Canada, and continues to launch new features and create new partnerships towards bettering its offering.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-11% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Sep 2020
$500m
SERIES G
Apr 2019
$300m
SERIES F
Total funding: $1.1bn
Company benefits
- Compensation: We have a simple, flexible, and transparent remote-first compensation structure so you can make the best decisions for yourself and your family
- Spending Wallets: Access tech, food, lifestyle, and family planning wallets for your expenses
- Supportive Communities: Get involved with our employee resource groups and community groups
- Remote-first Workforce: If your role is remote, you can set up shop anywhere in your home country
- Generous Time Off: Take the time you need when life happens
- Health Benefits: Get a plan that fits your needs
- Mental Healthcare: Take care of your mind with great mental health programs
- Parental Leave: Birth and non-birth parents get 18 weeks’ paid leave. Plus, a 4-week return-to-work transition program, at full base pay
- Away Days: We offer 20 company-wide paid days off—which help our teams collectively pause to recharge
- Learning & Development: Engage in exciting learning programs to level up your growth
Company HQ
Chinatown, San Francisco, CA
Leadership
Max Levchin
(Co-Founder & CEO)Has founded/co-founded numerous companies, holding various executive positions at each, including Paypal, Slide, Glow, HVF Labs, and SciFi VC. Also worked at large brands including Google, Yelp, Yahoo, and Evernote.
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