Other Open Roles
- Analyst I, Growth Analytics
- Analyst II, Credit Risk (International Markets)
- Analyst II, Forecasting Analytics
- Analyst II, Full Stack
- Analytics Manager, Internal Audit
Prior Listings
- Fraud Analytics Lead
- Sr. Analyst, Core Growth Strategy
- Senior Business Intelligence & Data Analyst
- Analyst, Client Insights
- Forecasting Analyst Lead
- Senior Client Insights & Analytics Manager
- Lead Product Manager, ML Credit
- Lead, Revenue Analytics
- Staff Machine Learning Engineer
- Lead Analyst, Marketing Analytics
- Senior Analyst, Growth Strategy (Competitive Response)
- Sr. Analyst, Marketplace Strategy & Ops
- Sr. Analyst
- Staff Analytics Engineer
- Analyst, Business Intelligence
- Sr. Model Risk Analyst
- Staff Data Engineer
- Analyst II, Credit Analytics, Full Stack
- Sr. Credit Analyst
- Sr. Product Analyst
Staff Analytics Engineer
Staff Analytics Engineer
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.
Team
The Data Solutions' team mission is to organize Affirm’s data and make it accessible across Affirm.
As a Staff Analytics Engineer, you will be working multi-functionally with business domain specialists, analytics, and engineering teams to design and implement our Data model. You will architect, design, implement data pipelines enabling insights from our product for partners, data scientists, analysts and decision across Engineering, Product, Marketing, Product and Finance organizations.
Data Engineers also need to guarantee compliance with data governance and data security requirements while crafting, improving and operationalizing these integrated and reusable data models and pipelines. This role will require collaboration across the company.
Role
As a Staff Analytics Engineer, you will be working multi-functionally with business domain specialists, analytics, and engineering teams to design and implement our Data model. You will architect, design, implement data pipelines enabling insights from our product for partners, data scientists, analysts and decision across Engineering, Product, Marketing, Product and Finance organizations.
This is a fun role for problem solvers, who can intuitively anticipate problems and can also look beyond immediate issues.
What you'll do
- Design, implement and build data models and ETL pipelines that deliver quality data meeting SLA requirements.
- Partner with product, data analyst, engineering teams and other data engineers to build foundational, trusted and documented datasets enabling self-service and Single Source of Truth.
- Be an advocate for data governance, security, privacy, quality and retention.
- Own and document data pipelines and data lineage.
- Identify, document and promote standard methodologies.
- Identify and work with Infrastructure teams to address Data Platform gaps.
What we look for
- BS, MS or PhD in Computer Science, Engineering or a related technical field.
- Experience in data management subject areas including data modeling, data quality and other areas directly relevant to data engineering.
- Experience working with multi-functional teams and collaborating with business or product or engineering partners in data management and analytics initiative.
- Ability to work on multiple areas like ETLs, Data modeling & design, writing sophisticated SQL queries etc.
- Passionate about various technologies including but not limited to SQL/No SQL/MPP databases etc.
- Hands-on experience with Data Warehouse technologies (Snowflake, Redshift) and Big Data technologies (e.g Spark)
- Proficiency with programming languages is a huge plus (e.g. Python)
- Excellent written and verbal communication and interpersonal skills; able to effectively collaborate with technical and business partners.
Join us as we build a beloved, lasting financial services company predicated on honesty and trust. In this role, you’ll understand the exciting challenges of helping a fast-growing company move towards a service-oriented architecture - diving into the scaling and availability challenges of infrastructural components that are the fundamental building blocks of a large scale system. You’ll hone your ability to anticipate and recognize how to apply different technologies to solve a wide array of real world problems across the organization - all while building teams and working cross functionally with talented peers.
Location
We’re excited to announce that Affirm is now a remote-first company! This role can be located anywhere in the U.S. and Canada (with the exception of Quebec). Remote based employees may occasionally travel to an Affirm office for meetings or team building events. Our offices in San Francisco, New York City, Pittsburgh, Chicago, and Salt Lake City will remain operational and accessible for anyone to use on a voluntary basis.