Fullstack People Analytics Lead

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. Affirm proudly includes Returnly.
The Affirm People Analytics team is looking to hire a Full Stack Data Analyst to help grow our data, automation, and modeling capabilities. This role is integral to building a solid foundation for the People function to automate its analytics capabilities across the globe. Initial responsibilities include schema planning, ETL and data structuring, data management and governance, and designing and deploying datasets and models. However, as the function matures you will be given autonomy to help craft your own analytical role. You will work closely with our data partners across People, Talent, and Finance.
What You'll Do
Apply your expertise to implement a comprehensive data plan for People data. This includes database schema, ETL, data integrity, and modeling.

• Create structure and define data sets for consumption across the People Organization and beyond. This includes planning and developing automated workflows to extract data from various source systems/databases, applying transformations and creating features, and handling database access and permissions.
• Apply your passion for inferential statistics or machine learning to uncover sophisticated insights. The ideal candidate doesn't necessarily have proficiency with every statistical model, but they are able to identify an appropriate model and apply it to real world problems. Psychometrics, GLM, and/or ML experience are nice to have.
• Mentor and upskill analysts to add resiliency to our data processes. You should have a passion for sharing knowledge.
• Exercise your excellent documentation skills and attention to detail. Designing data dictionaries, detailing design decisions, and adhering to governance and standard security processes are all vital to success.

What We Look For

• 5+ years hands-on experience with data engineering and modeling in a cloud environment. Extensive experience with SQL databases is required.
• A background in statistics, data science, data engineering, computer science, or another quantitative field will help you be successful in this role. Some experience with either R or Python for statistical models is preferred.
• Knowledge of FiveTran, Snowflake, and/or DBT is helpful!
• Experience with Workday and Greenhouse data is helpful!

Location - Remote U.S.
Grade - USA30
Please note that visa sponsorship is not available for this position.
#LI-Remote
Affirm is proud to be a remote-first company ! The majority of our roles are remote and can be located anywhere in the U.S. and Canada (with the exception of the U.S. Territories, Quebec, Yukon, Nunavut, and the Northwest Territories) unless the job indicates a different global location. We are currently building operations in Spain, Poland, and Australia. Employees in remote roles have the option of working remotely or from an Affirm office in their country of hire, and may occasionally travel to an Affirm office or elsewhere for required meetings or team-building events. Our offices in Chicago, New York, Pittsburgh, Salt Lake City, San Francisco and Toronto will remain operational and accessible for anyone to use on a voluntary basis, subject to local COVID-19 guidelines.
[For U.S. Candidates] All full-time jobs at Affirm (excluding interns and apprentices) are tied to a transparent grade-based pay range taking location into account. The grade for this position is noted above and in accordance with various U.S. pay transparency laws, we provide the base pay range and benefits for our U.S.-based positions in the links below:
Jobs in Grades 21 through 54
Jobs in Grades 61 through 74
If you got this far, we hope you're feeling excited about this role. Even if you don't feel you meet every single requirement, we still encourage you to apply. We're eager to meet people who believe in Affirm's mission and can contribute to our team in a variety of ways-not just candidates who check all the boxes.
Inclusivity:
At Affirm, People Come First is one of our core values, and that's why diversity and inclusion are vital to our priorities as an equal opportunity employer. You can read about our D&I program here and our progress thus far in our 2021 DEI Report .
We also 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.
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