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!