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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.

Applicants have rights under Federal Employment Laws: Family and Medical Leave Act (FMLA)Equal Employment Opportunity (EEO); and Employee Polygraph Protection Act (EPPA).

Current Opportunities

 

  • We are currently seeking a Senior Data Engineer to join us as we develop our data-driven, analytic-focused and predictive products to help revolutionize the law enforcement risk management ecosystem.

  • Who We Are: Dedicated to making a difference in our communities, our Vision is to elevate law enforcement in the United States with a preventative-based early intervention system using data science and machine learning — to analyze police officer performance data in order to identify potentially problematic behavior. In partnership with the University of Chicago, […]

  • Our ideal candidate loves problem-solving, understands that the details are key, and enjoys digging into them with a transparent and collaborative approach. Data- and analysis-driven candidates will have multiple opportunities to exercise those skills to contribute to other projects within the Customer Operations group

  • We are currently seeking an experienced Full Stack Developer 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.

  • Our ideal candidate loves problem-solving, understands that the details are key, and enjoys digging into them with a transparent and collaborative approach. Data- and analysis-driven candidates will have multiple opportunities to exercise those skills to contribute to other projects within the Customer Operations group