Data Analyst Lead

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 Lead Data Analyst to join us as we develop our data driven, analytic focused and predictive products to help revolutionize the law enforcement sector.?  

Responsibilities:  

• Assist clients in understanding their data to identify the “best fit” data for benchmark products and data science needs.  
• Work with clients to understand data creation process, document findings, and articulate findings to internal stakeholders.  
• Analyze large file-based datasets using data transformation tools such as Sagemaker, Athena, and Clover (among others) to effectively map data from source systems to target systems.  
• Continuously optimize these processes to increase efficiency and quality of data.  
• Validate received/extracted data for completeness to ensure that data meets data science and system requirements.  
• Import received data into internal Benchmark Data Systems, ensuring completeness and retention of data meaning.  
• Develop and maintain documentation for data pipeline workflows, ETL processes, and data dictionaries.  
• Provide input and feedback on data structures, data quality and data consistency  
• Identify data quality issues, investigate root cause analysis and work with the appropriate teams to resolve them.  
• Analyze pipeline processes, identify inefficiencies, suggest improvements, and test solutions to optimize data ingestion processes, improve data quality, and reduce implementation time.  
• Support process documentation as necessary to prepare the team and company for growth/scale.   
• Develop and maintain documentation for standard operating procedures, workflows, and data governance policies.  
• Prepare presentations/reports based on the results of work/analysis and present findings to various stakeholders in a clear, concise, and engaging manner.  
• Work with clients to understand data creation process, document findings, and articulate findings to internal stakeholders.  
• Periodic travel within the United States required   

Job Qualifications: 

• Bachelor's degree in related field  
• 3+ years of analyst or ETL experience transforming, loading, and analyzing larger datasets.  
• Proficiency in SQL, Python, or other scripting language  
• Ability to understand the meaning of data to effectively map data from source system to target system  
• Demonstrated experience in client facing/analyst role, specifically involving direct client engagement that includes a data component  
• Strong communication skills, demonstrated by the ability to articulate complex topics clearly and concisely?  
• Enjoys working with data, testing assumptions, and conducting exploratory data analysis  
• Possesses experience and/or knowledge of ETL processes and relational databases, with an understanding of ETL development  
• Demonstrates a strong data sense, including an ability to recognize patterns and understand central tendencies within qualitative and quantitative data?  
• Exhibits a strong technical aptitude and an ability to learn new technical products and skills quickly  
• Possesses a strong sense of process and can understand how individual steps relate to one another to achieve desired end results  
• Capable of managing multiple concurrent tasks/projects and meeting deadlines while working effectively with others  
• Able to work independently with minimal guidance from management, particularly in complex and non-routine situations  
• Skilled in communicating effectively across multiple levels, including customers, team members, and managers, within a fast-paced environment  

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 interested, please email your resume to riley.maloney@benchmarkanalytics.com