Data Analyst
About The Position
Benchmark Analytics is seeking a Lead Data Analyst to help develop data-driven, analytic-focused, and predictive products for the law enforcement sector. The role works closely with clients to understand and map their data, analyze large datasets, and support data pipelines and ETL processes. It also focuses on identifying data quality issues, optimizing ingestion processes, and presenting findings to internal and external stakeholders. The position supports client configuration, implementation, and deployment of analytic systems, while helping improve documentation and processes as the organization scales. Periodic travel within the United States is required. The role is fully remote for candidates based in the U.S. who are willing to work in the Central Time Zone.
Requirements
- Bachelor’s degree in a related field.
- 3–4+ years of client-facing analyst experience, including direct client engagement involving data.
- Strong communication skills and the ability to explain complex topics clearly and concisely.
- Enjoys working with data, testing assumptions, and conducting exploratory data analysis.
- Ability to understand data meaning and map data from source systems to target systems.
- Experience and/or knowledge of ETL processes and relational databases, with an understanding of ETL development.
- Strong data sense, including the ability to recognize patterns and understand central tendencies in qualitative and quantitative data.
- Strong technical aptitude and ability to learn new technical products and skills quickly.
- Strong process orientation and understanding of how individual steps contribute to desired outcomes.
- Ability to manage multiple concurrent tasks and projects, meet deadlines, and work effectively with others.
- Ability to work independently with minimal guidance, particularly in complex and non-routine situations.
- Ability to communicate effectively with customers, team members, and managers in a fast-paced environment.
- Must be based in the U.S. and willing to work in the Central Time Zone.
- Must be authorized to work in the U.S.; employment visa sponsorship is not available.
Responsibilities
- Help clients understand their data and identify the best fit for Benchmark products and data science needs.
- Work with clients to understand data creation processes, document findings, and communicate them to internal stakeholders.
- Analyze large file-based datasets using tools such as Excel, Databrew, and SQL to map source-system data to target systems.
- Continuously optimize data processes to improve efficiency and quality.
- Validate received and extracted data for completeness and compliance with 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 causes, and work with appropriate teams to resolve them.
- Analyze pipeline processes, identify inefficiencies, recommend 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 clearly to stakeholders.
- Assist with client configuration, implementation, and deployment of analytic systems to support client success.
- Travel periodically within the United States.
Benefits
- Competitive salary and benefits package.
- Unlimited Paid Time Off.
- Summer Half-Day Fridays.
- Freed Up Fridays during spring, fall, and winter months for productivity and dedicated heads-down work time.
- Medical, dental, and vision plan offerings.
- 401(k).
- Employer-paid short-term disability, long-term disability, and life insurance.
- Voluntary additional life insurance, spouse life insurance, and accident insurance.
- Diverse and inclusive work environment.
- Culture that encourages creativity and professional growth.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
