Careers

Founded by a seasoned group of serial entrepreneurs, Benchmark Analytics® is a SaaS technology company housed in the Ravenswood technology corridor on Chicago’s Northside. In partnership with the University of Chicago, we are building a predictive analytics platform for law enforcement human capital management. Our series of predictive tools helps police departments support officers along a wellness continuum and provides individualized, research-based interventions and supports.

We are a double-bottom line company – our management team is comprised of former police officers, former city officials, and current change makers who believe in (and have witnessed) the power of data to transform government . . . and in this case, improve policing.
 

Current Opportunities

 

  • Implementation Lead

    The Implementation Lead will work directly with customers to drive a 10-step process with patience as well as sense of urgency. This pivotal role joins Benchmark as our customer base quickly grows, with an intentional focus on implementation, training, and support.

  • Data Scientist III

    We are seeking a talented Data Scientist III to join us to develop data driven, analytic-focused products revolutionizing police today. Collaborate with the Benchmark Research Team and other employees to build/enhance user-centered data products.

  • Data Engineer

    We are seeking an experienced Data Engineer to build a robust data platform as we continue to grow our predictive analytics business. Collaborate with the Benchmark Research Team members that focus on improving product data quality and platform performance.

  • Quality Assurance Data Analyst

    We are currently seeking an experienced Quality Assurance Data Analyst to join us to ensure we build a quality product as we continue to grow our predictive analytics business.

  • DevOps Engineer

    We are currently seeking a talented DevOps Engineer to join us as we continue to grow our SaaS and on-premise infrastructure to scale our quickly growing user base.

  • Full Stack Engineer

    We are currently seeking an experienced Full Stack Engineer to join us to ensure we build our data driven, analytic focused and predictive UI product as we continue to grow our predictive analytics business.