Analytics Lead, Affirm
Full Stack
CA$142-192k
More information about location
Buy-now-pay-later card for online and in-store
Job no longer available
Buy-now-pay-later card for online and in-store
1001+ employees
Job no longer available
CA$142-192k
More information about location
1001+ employees
Company mission
To deliver honest and transparent financial products that improve users' lives.
Role
Who you are
- 5+ 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
- Demonstrated ability to design and build efficient, analytics-ready data models in dbt, transforming raw or unstructured data into well-defined 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)
- Additional Qualifications:
- Strong sense of ownership, intellectual curiosity, and the ability to think creatively and critically in a dynamic, fast-paced, and ambiguous environment
- Demonstrated ability to provide technical leadership, influence cross-functional partners, and mentor other team members
- Excellent communication skills and comfort translating technical topics for non-technical audiences
What the job involves
- We are seeking a highly skilled and action-oriented Analytics Lead to join the People Analytics organization and drive the next evolution of our data infrastructure, modeling, and reporting capabilities.The People Analytics team builds and maintains the data foundations that power key talent programs across Affirm, including Talent Acquisition, Total Rewards, Feedback & Development, and core employee data
- The team drives the design, modeling, and reporting of high-quality, trusted people data, partnering closely with the business to deliver insights and data products that enable informed decisions
- In this role, you will serve as the technical lead for our people data ecosystem—designing scalable architecture, setting engineering standards, and partnering across the business to deliver high-value, trusted data products
- The ideal candidate brings strong analytical engineering expertise, a strategic mindset, an innate sense of curiosity, and the ability to lead through influence
- You will play a key role in shaping our data roadmap, introducing modern tooling and automation, uplifting engineering best practices, and mentoring other analytics engineers
- Join our team and help build the next generation of People Analytics at Affirm
- Design and deliver relational and non-relational database models, data pipelines, reporting, and visualization solutions while supporting all phases of the analytics development life cycle (ADLC), including requirements gathering, design, development, testing, and deployment
- Develop, maintain, and scale robust ETL/ELT pipelines across HR data sources (e.g., Workday, Greenhouse Recruiting, internal tools such as Arbor), ensuring reliability, performance, and extensibility
- Architect and implement scalable data models optimized for analytical querying and long-term maintainability
- Ensure data quality, integrity, and reliability across all data assets, introducing automation and best practices for monitoring and validation
- Collaborate with People Analytics stakeholders to translate requirements into sound technical solutions and influence longer-term data architecture decisions
- Manage and optimize cloud data warehouse infrastructure (e.g., Snowflake), including performance tuning, cost management, and secure access patterns
- Leverage AI and LLMs to automate data quality checks, enhance metadata management, and extract insights from unstructured HR data
- Stay current on technology best practices and advocate for engineering excellence across the People Analytics team
- Own and manage data governance, security, privacy, and retention standards across all People Analytics systems
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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