Qualifications
Key Responsibilities:Design and implement both relational and non-relational database models, data pipelines, reporting, and visualization solutions while covering all stages of the analytics development life cycle (ADLC), including requirements gathering, design, development, testing, and deployment.Create, maintain, and enhance robust ETL/ELT pipelines across HR data sources (e.g., Workday, Greenhouse Recruiting, and internal tools like Arbor), ensuring they are reliable, performant, and extensible.Architect and deploy scalable data models optimized for analytical querying and long-term maintainability.Guarantee data quality, integrity, and reliability across all data assets, implementing automation and best practices for monitoring and validation.Collaborate with People Analytics stakeholders to translate business requirements into effective technical solutions and influence long-term data architecture strategies.Oversee and optimize cloud data warehouse infrastructure (e.g., Snowflake), focusing on performance tuning, cost management, and secure access protocols.Utilize AI and LLMs to automate data quality checks and enhance analytical processes.
About the job
At Affirm, we are revolutionizing the credit landscape to create a more transparent and customer-friendly experience, empowering consumers with the option to buy now and pay later, free from hidden fees and compounding interest.
We are on the lookout for a dynamic and results-driven Analytics Lead to become a pivotal member of our People Analytics team. This role is integral to enhancing our data infrastructure, modeling, and reporting capabilities. Our People Analytics team is responsible for establishing and managing the data foundations that support essential talent initiatives throughout Affirm, including Talent Acquisition, Total Rewards, Feedback & Development, and crucial employee data. We focus on delivering high-quality, reliable people data to drive insights and informed decision-making.
As the technical lead of our people data ecosystem, you will design scalable architecture, establish engineering best practices, and collaborate with various business units to deliver high-value, trusted data products. The ideal candidate should possess robust analytical engineering competencies, a strategic outlook, a natural curiosity, and the capability to lead by influence. You will significantly contribute to shaping our data roadmap, introducing modern tools and automation, enhancing engineering standards, and mentoring fellow analytics engineers. Join us in building the future of People Analytics at Affirm.
About Affirm
Affirm is at the forefront of transforming credit into a more honest and consumer-friendly option, allowing individuals to purchase items now and pay later without the burden of hidden fees or compounding interest. Our mission is to empower consumers and provide them with flexible payment solutions.