Data 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 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