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, we’ve developed the world’s largest multi-jurisdictional officer performance database, and the ONLY research-driven, evidence-based early intervention system available in policing today.

We’re also the ONLY provider of a fully integrated, cloud-based Software-as-a-Service (SaaS) platform that simplifies essential policing workflows. This platform is designed to be a one-stop shop for all operational needs, driving extensive efficiency gains and providing best-in-class advanced analytics and insights.

We are an all-in-one solution that is advancing police force management through state-of-the-art technology and market-leading data and analytics.

Job Description

• Provide testing support for ETL pipelines and data migration projects
• Provide testing support for data-out capabilities, including reporting/analytics and data exports
• Collaborate with QA and data engineers to review data models and mappings to build and execute on effective test plans 
• Define, develop, maintain, and execute automated tests to validate our ETL pipelines
• Root cause analysis of data migration errors, and management of related defects
• Hands-on execution of functional exploratory testing and use case validation
• Update regression scenarios as appropriate for future releases
• Support continuous improvements within the SDLC, with a focus on systemic improvements and root cause analysis to drive forward progress

Job Qualifications

Requirements:

• Bachelor’s degree, or equivalent experience
• 5+ years of experience in a technical QA engineering role
• 3+ years test automation experience in Java
• Experience with data validation, and comfortable with SQL
• Hands-on experience with test management tools (JIRA/Confluence, TestRail) 
• Experience with an agile / Kanban development process
• Strong analytical skills that can be applied to root cause analysis of data discrepancies found in testing
• Excellent written and oral communication skills 
• Ability to successfully collaborate with QA, development, and product teams
• High level of curiosity and the desire to dig deep into customer use cases

Preferred Qualifications:

• Experience with ETL platforms (CloverDX or similar)
• Experience with SaaS or an Analytics platform
• 2+ years working with a scripting language, preferably Python

What We Offer

• A competitive salary and benefits package.
• Unlimited paid time off (PTO)
• Ability to work in a fully remote environment (must be based in the U.S. and willing to work in Central Time Zone).
• Medical, dental, and vision plan offerings along with 401(k). 
• Employer-paid Short-Term Disability, Long-Term Disability, and Life Insurance.
• Other Voluntary Benefits include additional Life Insurance, Spouse Life Insurance, and Accident Insurance.
• The satisfaction that comes with being part of a solution that has real impact in the world.
• A diverse workforce and inclusive environment that embraces unique contributions and experiences.
• An empowered culture that encourages creativity and professional growth.

How to Apply

• Benchmark Analytics is an Equal Opportunity Employer. We value diversity of all kinds in our effort to create a stellar workforce of committed and passionate team members
• Unfortunately, we are not able to sponsor employment visas at this time, so we can only accept applications from candidates who are authorized to work in the U.S.
• If you would like to apply, please email your resume to v.lauren.ritter@benchmarkanalytics.com