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NuView Analytics

Senior Data Analyst

Denver, CO · Remote

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 ...

Analytic Services Inc

Data Analyst

Alexandria, VA · On-site

We provide thought leadership for complex issues through independent analysis, and we deliver practical, useful solutions. ANSER values collaboration, integrity, and initiative and we are client ...

Deca Analytics

Tax Analyst Senior

San Juan, PR · On-site

$60K - $70K/yr

DECA Analytics, LLC is a Puerto Rico-based boutique advisory firm specializing in the unique business environment of Puerto Rico. Our mission is to provide unparalleled financial and operational ...

Clearwater Analytics

Business Analyst - OEMS

New York, NY · On-site

$102K - $144K/yr

Business Analysts create innovative solutions for our clients by identifying opportunities and strategies to improve business efficiencies. You will collaborate with Product Managers to define and ...

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Analyzer information

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$27

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How much do analyzer jobs pay per hour?

As of Jun 7, 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 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.

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 are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

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.
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What cities are hiring for Analyzer jobs? Cities with the most Analyzer job openings:
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Analyzer jobs near you
Infographic showing various Analyzer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 89% Full Time, 4% Part Time, 3% Contract, and 3% 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

Systems Planning and Analysis

Springfield, VA • On-site

Full-time

Posted 15 days ago

Job description

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 are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted.
The Joint, Office of the Secretary of Defense, Interagency Division (JOID) provides expert support services to a range of customers spanning across the Department of Defense, Federal Civilian, and international markets. JOID provides a diverse portfolio of analytical and programmatic capabilities to help our customers make informed decisions on their most challenging issues.
The Critical Infrastructure Group (CIG) within JOID provides technical, programmatic and analytical support to customers with missions in national security to include the Department of Homeland Security (DHS), Health and Human Services (HHS), and the Federal Aviation Administration (FAA). The Group brings technical and operational expertise in fields of countering weapons of mass destruction, critical infrastructure protection, emergency response, nuclear non-proliferation, weapons deployment programs, and transportation safety. In addition to management and advisory services, CIG staff collaborate closely with our clients to provide high-quality modeling, simulation, software, and analytical products to meet the most demanding government standards and timelines.
SPA has an upcoming need for a Data Analyst to provide hybrid support in Northern Virginia.
Responsibilities
The candidate will work with a team of data architects, data analysts, and cost analysts to support the Department of Homeland Security in developing and implementing a data management and analysis solution for government cost and acquisition analysts. Will apply rational, systematic, science-based techniques, advanced analytical methods, and critical thinking to help inform clients and to improve decision-making in complex processes. Obtain, integrate, and report client data, and develop and apply analytic methodologies and principles. Lead the application of analytic techniques and help define project objectives and strategic direction. Resolve complex problems which require an in-depth knowledge of analytic methodologies and principles. Create and promulgate data collection templates, maintain databases, and work with various analytical tools. Analyze acquisition data, formulate conclusions and recommendations, design and develop materials, and evaluate effectiveness in accordance with stated guidelines, speculations, and models. Conduct research, data gathering, and technical reviews. Produce written deliverables to include reports, spreadsheets, databases, formal process mapping, technical design, system testing, and implementation activities. Troubleshoot issues in reports related to data and assimilating, integrating, and interfacing technical knowledge with business/system requirements. Manage client relationships and expectations.
Qualifications
Required:
  • U.S. Citizen and eligible for a DHS suitability clearance
  • 2+ years of professional experience in the area of data science or data engineering
  • Bachelor's degree in Business, Engineering, Science, or Mathematics with 24 semester credit hours in quantitative analysis
  • Validated analytical, creative, and effective problem solving skills, with the ability to present solutions both in written and oral format
  • Solid understanding of applying mathematical, statistical, econometric, and other scientific methods to real world problems

Desired:
  • Experience using R, Tableau, or Power BI
  • Experience using ACEIT
  • Active DHS suitability or DoD Secret clearance
  • Experience with DoD or Coast Guard acquisition programs

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