Business Systems Analyst

Who We Are:

Dedicated to making a difference in law enforcement agencies across the U.S., our mission is to transform policing by elevating officer performance with a preventative-based early intervention system. Driven by data science and powered by machine learning, our offering analyzes 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 single-source solution for all operational needs, driving extensive efficiency gains and providing best-in-class advanced analytics and insights.

Benchmark Analytics provides a comprehensive, all-in-one solution that is advancing police force management through state-of-the-art technology and market-leading data and analytics.

The Role: 

We are currently seeking a talented Business Systems Analyst to get hands-on with data and technology while engaging directly with clients to deliver our data driven, research-based solutions to government insurance organizations and their law enforcement partners. This role sits within our Risk Solutions division and combines analytical work, client engagement, and technical problem-solving to help law enforcement agencies reduce officer injuries and incidents leading to liability.

Responsibilities: 

• Interface directly with assigned client(s) to manage delivery of program plans.
• Manipulate large file-based and relational datasets to identify and understand trends, patterns and issues in customer data; recommend ways issues can be resolved and engage with clients to overcome data and analysis obstacles.
• Perform analytical work requiring knowledge of administrative principles and analytic practices.
• Write, review, and maintain code (Python, R, etc.) for performing data aggregations and manipulations.
• Work with stakeholders to drive decisions and measure progress through data analysis.
• Deliver analyses using a variety of tools and statistical methods to communicate and allow non-technical client subject matter experts to understand and interact with the analysis.
• Deliver process, analysis, and product documentation as necessary to prepare the team and company for growth/scale.
• Prepare presentations and reports based on the outputs of research/analysis.
• Educate and learn from internal teams on analytics best practices, relevant knowledge, and specific skills.
• Critically evaluate information gathered from multiple sources and reconcile conflicts.
• Work with the research, product, and engineering teams to iteratively improve product and analysis results.

Job Qualifications:

• Experience in the ETL process and database management.
• Experience in Exploratory Data Analysis.
• Experience in technical algorithm/scripting development (e.g., Excel formulas, Stata, R, Python, SQL, SAS, etc.).
• Strong communication skills and ability to perform effectively in a fast-paced environment.
• Ability to successfully manage multiple concurrent tasks/projects and meet deadlines.
• Empathy for colleagues and customers.
• Ability to work independently with minimal guidance from management (except in complex and non-routine situations).
• Ability to anticipate challenging situations and proactively plan appropriate actions.
• Ability to effectively communicate across multiple levels (customers, team members, managers).
• Strong statistical sense (ability to understand central tendency, patterns within numbers, and how statistical results relate to the real world).
• Strong technical aptitude and technical acquisition skills (ability to work with and develop skills in technical products).
• Ability to convey information using data visualizations.
• Experience in writing SQL queries.
• Experience with data analysis software (R, Tableau, Python, SAS, Stata, etc.).
• Experience with spatial mapping platforms and data formats.
• Experience with insurance loss exposure data sets.
• Strong MS Excel skills (complex formulas, VLOOKUP, pivot tables).
• Experience with agile analytic practices.

Additional Skills:

• Learning-oriented: willingly accepts assignments that broaden capabilities and demonstrates a personal commitment to continuous learning.
• Flexible: responds promptly and calmly to changes and adju