We’re looking for a hard-working, driven data practitioner to join our Revenue Analytics team. Revenue Analytics serves as the analytics backbone of the Revenue organization at Affirm. We follow a data-driven approach that combines elements of both strategy and analytics to drive decisions around both GTM strategy and revenue management with the goal of simultaneously scaling and strengthening Affirm’s commercial offerings.

As a Lead on the Revenue Analytics team, you will build robust data products that enable Affirm’s sales teams, revenue leadership, and other revenue analysts. Your work will shape the direction of revenue strategy and provide teams with a better understanding of the health of our business. Your work will include building end-to-end data solutions spanning problem formation, ingestion, data modeling, metric definition, dashboard development, analysis, and enablement. The ideal candidate will have deep technical and analytical problem solving skills and be comfortable working closely with Revenue and Data Engineering teams to develop reporting infrastructure and perform analysis.

What You’ll Do:

• Develop critical data sources, data models, metrics, dashboards, and automation processes for sales/client success, revenue leadership, and other revenue analysts

• Build and maintain data models in dbt and Looker and develop new dashboards to highlight critical information to our revenue teams

• Execute end-to-end analytics roadmap for the revenue organization by partnering closely with commercial leadership, sales/client success, engineering, and other analytics teams

• Work with Business Systems and Data Engineering teams to define data infrastructure and maintain a strong understanding of our evolving data warehouse

• Explore 3rd party data sources to solve commercial use cases and develop the required data infrastructure and solutions to make them actionable 

• Work with enablement teams to develop data products (self-serve dashboards, BI tools, reports), scale usage, and shape training content to improve adoption

• Improve the overall efficiency of the revenue analytics team through automation and implementation of best practices

What We Look For:

• 5+ years work experience in a business intelligence or a data analyst role

• Strong working knowledge of SQL, Python, data modeling, and data visualization 

• Hands-on experience with BI tools (Looker/Tableau), Databricks, and cloud data warehouse/lake technologies (Snowflake, s3). Experience with dbt preferred

• Familiarity with Salesforce and supporting revenue generating areas of the business

• Ability to identify user needs and translate them into robust, scalable data products

• Ability to start with an ambiguous problem, deconstruct it into tangible steps, and work towards an impactful solution

• Ability to communicate findings and recommendations clearly to both technical and non-technical audiences

• Experience working with multi-functional teams and collaborating with business engineering partners in data management and analytics initiatives

Compensation & Benefits

Pay Grade - ESP30

Employees new to Affirm or promoted into a new role, typically begin in the min to mid range.

ESP base pay range per year:

Min: €71,700

Mid: €89,600

Max: €107,500

We offer a competitive package, with some highlights listed below.

• Flexible Spending Wallets for tech, food and lifestyle
• Generous time off policies 
• Away Days - wellness days to take off work and recharge
• Learning & Development programs
• Parental leave
• Robust health benefits
• Employee Resource & Community Groups

We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role. 

Location - Remote Spain

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