[Remote] Data Analyst Lead

Note: The job is a remote job and is open to candidates in USA. Benchmark Analytics is dedicated to transforming policing by elevating officer performance with a preventative-based early intervention system. The Lead Data Analyst will work closely with clients to analyze large datasets, support data pipeline development, and present findings to stakeholders, playing a crucial role in optimizing data processes and ensuring data quality.

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

Skills

• 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

Benefits

• 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.
• A diverse workforce and inclusive environment that embraces unique contributions and experiences.
• An empowered culture that encourages creativity and professional growth.

Company Overview