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Analyzer Jobs (NOW HIRING)

Conflict Analyst

Boston, MA · Hybrid

$100K - $120K/yr

Overview Analysis Group is one of the largest international economics consulting firms, with more than 1,500 professionals across 15 offices in North America, Europe, and Asia. Since 1981, we have ...

Conflict Analyst

Boston, MA · On-site

$100K - $120K/yr

Overview Analysis Group is one of the largest international economics consulting firms, with more than 1,500 professionals across 15 offices in North America, Europe, and Asia. Since 1981, we have ...

Wargame Analyst

Alexandria, VA · On-site

$89K - $117K/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 ...

AFSIM Analyst

Quantico, VA · On-site

$100K - $120K/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 ...

$82K - $87K/hr

Syntelligent Analytic Solutions, LLC provides uniquely qualified personnel with the expertise and tools needed to fulfill our customers' management and technical requirements in the intelligence ...

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 ...

Company Overview LP Analyst is a leading independent private asset cloud-based analytics and consulting solutions firm that works closely with many of the industry's most prominent institutional ...

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Analyzer information

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How much do analyzer jobs pay per hour?

As of Aug 9, 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 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.
More about Analyzer jobs
What cities are hiring for Analyzer jobs? Cities with the most Analyzer job openings:
What states have the most Analyzer jobs? States with the most job openings for Analyzer jobs include:
Infographic showing various Analyzer job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 87% Full Time, 4% Part Time, 6% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $57,790 per year, or $27.8 per hour.

Analyst / Senior Analyst - Data Governance & Lineage

Tiger Analytics Inc.

Jersey City, NJ • On-site

$91K - $121K/yr

Full-time

Posted 21 days ago


Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for an Analyst / Senior Analyst to support a large-scale enterprise data governance program with one of our leading clients.

Responsibilities:

  • Document data lineage from Tier 1 consumption points through analytical data stores to systems of origin, capturing findings in the client's preferred tooling.
  • Support the design, development, and deployment of ADS components, data pipelines, and data quality controls (DQ rules, variance analysis, anomaly detection, comprehensiveness checks) on GCP.
  • Contribute to data modeling and target-state landscape design, support SME interviews, and work closely with engineering teams and business data office stakeholders day-to-day.
  • Operate as the bridge between engineering, enterprise architecture, and data office stakeholders, and present findings and recommendations directly to senior client leadership.
  • Bridge business and technical requirements by translating insights from the business data office into actionable engineering tasks.

Requirements

  • 2-5 years in data analysis, data engineering, or data governance (financial services preferred)
  • Working knowledge of GCP data services (e.g., BigQuery, Dataflow/Dataproc, Cloud Composer, Cloud Storage, Dataplex) and the ability to build and deploy pipelines and controls.
  • Strong SQL and at least one scripting language (Python preferred).
  • Familiarity with data modeling fundamentals and data lineage concepts, including metadata/lineage tooling.
  • Exposure to data quality rules, controls, or reconciliation processes.
  • Strong documentation and communication skills - able to turn SME conversations into clear, structured artifacts.
  • Comfortable interacting with senior client stakeholders in a professional setting.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.