As a Revenue Analytics Lead on the Revenue Analytics team, you will be responsible for building robust data products that enable Affirm’s sellers, commercial leadership, and revenue analysts. Your work will shape the direction of the commercial strategy and will provide the teams with a better understanding of the health of the business. Your work will include building out end-to-end data solutions spanning problem formation, ingestion, data modeling, metric definition, dashboard development, and enablement. The ideal candidate will have strong technical and analytical problem solving skills and will work closely with Commercial and Data Engineering teams on developing BI models, reporting infrastructure, and scaling analytics across the commercial organization. 

What You’ll Do:

• Develop critical data models, metrics, dashboards, and scalable processes for sales/client success, commercial leadership, and revenue analysts. 
• Work with Business Systems and Data Engineering teams to define data infrastructure and maintain a strong understanding of our evolving data warehouse
• Execute end-to-end analytics roadmap for the revenue organization by partnering closely with commercial leadership, sales/client success, engineering, and other analytics teams
• Build and maintain data models in dbt and Looker and develop new dashboards to highlight critical information to our commercial teams
• Combine Salesforce and disparate data sources support analysis on sales strategy, sales territory, lead and deal flow metrics and forecasting
• Explore 3rd party data sources to solve commercial use cases and develop the required data infrastructure and solutions to make them actionable 
• Develop processes within Commercial to scale the usage of BI tools and reports
• Improve the overall efficiency of the revenue analytics team through automation and implementation of best practices

What We Look For:

• 3 - 5 years work experience in a business intelligence or a data analyst role
• Strong working knowledge of SQL,data modeling, and data visualization (Familiarity with Python is a plus) 
• 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