At Checkr we believe in the power of work. We are committed to our mission of building a fairer future by designing technology to create opportunities for all.

Checkr powers people infrastructure for the future of work. With artificial intelligence and machine learning, our platform and solutions make background checks faster, easier, and more compliant. Using Checkr’s advanced screening technology, companies can better understand the dynamics of the changing workforce, bring transparency and fairness to their hiring, and ultimately build a better future for workers.

You will be joining our FP&S (Financial Planning and Strategy) team as Senior Staff Data Analyst, Financial Planning and Strategy. You will be embedded with the Revenue and Supply Chain FP&S team within Checkr’s finance organization that is responsible for revenue and supply chain costs forecasting, planning, and reporting. We strive to drive better decision making across the organization through analytics and insights.

What You'll Do

• Provide data-driven insights and products that improve our understanding of revenue growth, margins and help drive better decision making
• Partner cross functionally to help answer questions such as - which customer segments or products are driving our growth? What factors drive customer retention or churn? What is the breakdown of our revenue growth - new customers, expansion of usage, upsell, and pricing? What are the core drivers of changes to our product margins?
• Architect and design robust dashboards/data products that enable us to programmatically monitor revenue, pricing, and margin trends
• Help automate manual reporting processes owned by the FP&S team
• Help define foundational data models utilized by the team and drive the monitoring and reconciliation processes used to ensure accuracy of such models
• Collaborate on annual planning process, revenue/cost forecasting, and long-range strategic plans

What You Bring

• 7+ years of analytics experience, including a strong foundation at high-growth technology companies (SaaS and/or Consumer)
• Ability to think across multiple dimensions of a business (finance, sales, product, marketing etc.) and work cross-functionally to deliver results
• The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
• Strong knowledge of SQL and relational databases
• Ideally some proficiency in R or Python and experience with statistical inference, time series analyses, regression models, etc.
• Proficiency in one or more analytics & visualization tools (e.g. Tableau, Looker)
• Strong collaboration, communication and project management skills
• Self starter and problem solving mentality