Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
We are in search of an action-oriented and analytically inclined Analytics Engineer to join the People Analytics organization and significantly expand our data integration, transformation, and reporting capabilities. People Analytics is responsible for the infrastructure, business logic, and deliverables for data across the People space; including talent acquisition, total rewards, feedback & development, and employee data. This position will be instrumental in architecting and building robust data infrastructure and tools, significantly enhancing our team’s ability to deliver high-value data products across the business.
This role is primarily suited for candidates with strong data skills, particularly with experience in the design and creation of ETLs and SQL-based relational database structures. The ideal candidate will not only have superb technical skills but also strong interpersonal skills and the ability to take a leading role in driving our data and reporting capabilities to the next level. You'll have the opportunity to make a significant impact by building robust data infrastructure and tools that empower our People Analytics organization and cross-functional partners across the business. Join our team and be part of Affirm's mission to reinvent credit!
What You'll Do
- Design and deliver relational and non-relational database models, data pipelines, reporting and visualization solutions by supporting all phases of the analytics development life cycle (ADLC), including requirements gathering, design, development, testing and deployment
- Develop and maintain robust ETL/ELT pipelines for various HR data sources (e.g., Workday, Greenhouse Recruiting)
- Architect and implement scalable data models optimized for performance and analytical querying
- Ensure data quality, integrity, and reliability across all data assets
- Collaborate with People Analytics team members to understand data requirements and translate them into technical solutions
- Manage and optimize cloud data warehouse infrastructure (e.g., Snowflake)
- Leverage AI and LLMs to, for example, automate data quality checks, enhance metadata management, and extract deeper insights from unstructured HR data
- Be on the lookout for technology best practices and advocate for them
- Be an advocate for data governance, security, privacy, quality and retention
What We Look For
- 3+ years and expertise with dbt (Data Build Tool), SQL and Python required; including:
- Experience writing clean, computationally efficient code involving ETL processes and data manipulation via dbt, SQL, and Python
- Building efficient and concise data models in dbt to transform unstructured source data into analytics-ready denormalized marts
- Comfort with production level IDEs (e.g., Cursor, Visual Studio) and Version Control (e.g., git, specifically GitHub)
- Experience using standard Python analysis packages (e.g., Pandas, NumPy)
- Experience with the following required:
- Snowflake or other cloud data warehouse
- Sigma or other modern BI platform
- Fivetran or similar integration platform for integrating structured, unstructured, or unclear data formats
- Airflow or other orchestration platform
- Experience with the following preferred:
- Leveraging LLMs for data transformation or analysis; MLOps
- Data lakes and/or Iceberg table format
- Custom data application development using Python or similar language (i.e. Streamlit dashboards, Slackbots)
- Strong sense of ownership, intellectual curiosity and an ability to think creatively and critically and thrive in a fast-paced, dynamic, and often ambiguous work environment
Equity Grade - 6
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $140,000 - $190,000
USA base pay range (all other U.S. states) per year: $124,000 - $174,000
#LI-Remote
Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
- Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
- Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
- Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
- ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
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