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Analyzer Jobs (NOW HIRING)

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 ...

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 ...

Cost Analyst

Alexandria, VA ยท On-site

$120K - $165K/yr

Overview Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we ...

The Role You love analytics and you love helping people solve real problems with it. You believe a new golden era of analytics is here, and you are genuinely excited about what AI can bring to how ...

IAMD Analyst

Arlington, VA ยท On-site

$160K - $190K/yr

Overview Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we ...

$72K - $85K/yr

This role will work with the Strategic FP&A managers and the senior ORSAs to support complex, high-visibility work across the federal healthcare environment, with emphasis on data-driven analysis ...

Data Analyst

Alexandria, VA ยท On-site

$125K - $145K/yr

Overview Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we ...

Cost Analyst

Alexandria, VA ยท Hybrid

$120K - $165K/yr

Overview Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we ...

Position Overview ANSER is seeking a skilled Data Analyst to support an Office of the Secretary of War (OSW) client. In this role, you will leverage data analytics, business intelligence, and ...

Program Control Analyst

Baltimore, MD ยท On-site

$95K - $125K/yr

Position Overview The Program Control Analyst supports the financial and operational success of projects across the organization. Partnering closely with Project Managers, Finance, Contracts, and ...

Senior Data Analyst

Denver, CO ยท On-site +1

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional ...

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Analyzer information

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How much do analyzer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for analyzer in the United States is $27.78, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $31.73 per hour, depending on experience, location, and employer.

What does an analyzer do?

An Analyzer is a professional who examines data, processes, or systems to identify patterns, trends, and areas for improvement. They often work in fields like business, chemistry, or IT, using analytical tools and techniques to draw meaningful conclusions from complex information. Their findings help organizations make informed decisions, optimize operations, and solve problems efficiently. The specific duties of an Analyzer can vary depending on the industry and the type of data they work with.

What are the key skills and qualifications needed to thrive as an analyzer?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics or computer science, often supported by a relevant degree. Familiarity with tools such as SQL, Excel, Python or R, and data visualization platforms like Tableau or Power BI is typically required. Critical thinking, attention to detail, and effective communication are key soft skills for interpreting data and presenting insights to stakeholders. These skills enable data-driven decision-making and ensure that analyses are accurate, actionable, and clearly understood within an organization.

How does an analyzer typically collaborate with cross-functional teams during data interpretation projects?

Analyzers often work closely with cross-functional teams such as engineers, product managers, and quality assurance specialists to provide accurate data insights. Collaboration usually involves regular meetings to discuss project objectives, share preliminary findings, and refine hypotheses based on team feedback. Analyzers are responsible for clearly communicating complex data results in a way that is actionable for different stakeholders, ensuring that their analyses directly support decision-making processes. This collaborative environment fosters continuous learning and exposure to diverse perspectives, which is valuable for professional growth.

What is the difference between Analyzer vs Data Analyst?

AspectAnalyzerData Analyst
Required CredentialsTypically requires a degree in science, engineering, or related fields; certifications like Six Sigma or data analysis tools are commonRequires a degree in statistics, mathematics, or related fields; certifications in data analysis tools (e.g., Excel, SQL, Tableau) are common
Work EnvironmentOften in manufacturing, quality control, or technical settings; may involve lab or field workPrimarily in office settings, working with data, reports, and dashboards
Employer & Industry UsageUsed in manufacturing, engineering, and technical industries for process improvementUsed across finance, marketing, healthcare, and business sectors for data-driven decision making

While both roles involve analyzing data, Analyzers focus on technical and process-related data in manufacturing or technical environments, whereas Data Analysts work with business data to support decision-making across various industries.

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Cities with the most Analyzer job openings:

What states have the most Analyzer jobs?

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What are popular job titles related to Analyzer jobs?

For Analyzer jobs, the most frequently searched job titles are:

Infographic showing various Analyzer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 92% Full Time, 3% Part Time, 2% Contract, and 2% Nights. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $57,790 per year, or $27.8 per hour.

Data Analyst Lead

Chicago, IL โ€ข Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


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, weโ€™ve developed the worldโ€™s largest multi-jurisdictional officer performance database, and the only research-driven, evidence-based early intervention system available in policing today.

Weโ€™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:

  • Bachelorโ€™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.