We’re looking for a driven, analytically-minded professional to join the Growth Analytics team! Growth Analytics at Affirm encompasses Product, Marketing, Operations, and Foundations. The team is responsible for the research, reporting, and experimentation vital to build outstanding consumer-facing and merchant products.  

What You'll Do

• Work within a multi-disciplinary team including engineers, product managers, risk, analytics following Agile best practices

• Partner with business stakeholders, upstream infrastructure platform teams, and downstream data consumers to understand and translate business requirements into technical design while working on advanced analytics use cases

• Work with advanced analytics technologies to solve data and computation challenges at a large scale.

• Deliver analytical algorithms and applications.

• Develop and support data pipelines, warehouses, data models, and reporting systems to tackle business opportunities within the Analytics community at Affirm

• Prepare data models and feature quality checks, optimizes analytical solutions at scale

• Influence and educate stakeholders across the organization (analytics, business, product) to promote data usage best practices within the scope of Analytics tools such as DBT, Looker, SQL, Python etc.

What We Look For

• BS or MS in STEM (Science, Technology, Engineering, Mathematics) or with a proven track of record from programming areas.

• 2-4 years work experience in an Analytics, Data Modeling, and Data Provisioning (acquisition from various sources, transformation and sharing) role

• Strong working knowledge of SQL and/or experience with Python. Experience with DBT or Snowflake is a plus.

• Strong working experience with at least one BI tool (Looker, Tableau, Power BI)

• Strong interpersonal skills and ability to work cross-functionally

• Ability to think creatively and critically and thrive in a fast-paced, dynamic, and often ambiguous work environment

• Ability to communicate and influence both technical and non-technical audiences

• Enough laziness to find a faster way to do your least favorite tasks

• Humility and team player - you go out of your way to help teammates

• A plus to have worked in Agile methodology as well as with DevOps practices and using appropriate tools such as Jira, GitHub, etc.

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