Job Description
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. In this role, you will work closely with clients to understand and map their data, analyze large datasets, and support the development of data pipelines and ETL processes. You will also play a key role in identifying data quality issues, optimizing ingestion processes, and presenting findings to internal and external stakeholders.
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 processes, document findings, and articulate them to internal stakeholders
Analyze large file-based datasets using data transformation tools such as Excel, Databrew, and SQL to effectively map data from source systems to target systems
Continuously optimize data processes to increase efficiency and quality
Validate received and extracted data for completeness to ensure it meets data science and system requirements
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 appropriate teams to resolve them
Analyze pipeline processes, identify inefficiencies, suggest improvements, and test solutions to optimize data ingestion and reduce implementation time
Support process documentation to prepare the team and company for growth and scale
Develop and maintain documentation for standard operating procedures, workflows, and data governance policies
Prepare presentations and reports based on analysis results and present findings to various stakeholders in a clear and engaging manner
Assist in client configuration, implementation, and deployment of analytic systems as needed to ensure client success
Periodic travel within the United States required
Job Qualifications:
Bachelor’s degree in a related field
3-4+ years of client-facing analyst experience, specifically involving direct client engagement that includes a data component
Strong communication skills, with the ability to articulate complex topics clearly and concisely
Enjoys working with data, testing assumptions, and conducting exploratory data analysis
Ability to understand the meaning of data to effectively map it from source system to target system
Experience and/or knowledge of ETL processes and relational databases, with an understanding of ETL development
Strong data sense, including an ability to recognize patterns and understand central tendencies within qualitative and quantitative data
Strong technical aptitude and ability to learn new technical products and skills quickly
Strong sense of process and understanding of how individual steps relate to achieve desired end results
Capable of managing multiple concurrent tasks and projects while meeting deadlines and working effectively with others
Able to work independently with minimal guidance, particularly in complex and non-routine situations
Skilled in communicating effectively across multiple levels, including customers, team members, and managers, in a fast-paced environment
What We Offer:
A competitive salary and benefits package.
Unlimited Paid Time Off.
Ability to work in a fully remote environment (must be based in the U.S. and willing to work in Central Time Zone).
Summer
Half-Day Fridays.
Freed Up Fridays
during Spring, Fall, and Winter months to promote productivity and dedicated heads-down work time.
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.
Estimated Annual Salary Range:
$100k - $120k; based on role, experience, and location
Additional Information:
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.
Job Tags
Temporary work, Summer work, Visa sponsorship, Work visa