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Operational Data Analyst Jobs (NOW HIRING)

Position Summary The Data Analyst supports the analysis, interpretation, and reporting of programmatic, financial, and operational data to enable effective oversight of Head Start grants and regional ...

Data Analyst Location: Miami, FL - Onsite 5 days/week Type: 6-month Contract-to-Hire Role Overview ... revenue operations data in SaaS environments. Key Responsibilities * Develop and maintain ...

The goal of a Store Operations Data Analyst is to understand specific business problems or ... Provide insight into existing operational reports, TN applications, dashboards, and identify ...

Data Analyst

South Haven, MN · On-site

$22 - $27/hr

Responsibilities: • Analyze transactional and operational data to uncover unusual behavior, emerging fraud trends, and potential risk indicators. • Investigate suspicious activity by reviewing ...

... Data Analyst to support a Drilling & Completions (D&C) organization by transforming complex ... In this role, you will partner with engineering, operations, and leadership teams to deliver ...

Perform financial, operational, and performance-related data analysis * Support the development and optimization of reporting tools, templates, and automated reporting processes * Conduct variance ...

Perform financial, operational, and performance-related data analysis * Support the development and optimization of reporting tools, templates, and automated reporting processes * Conduct variance ...

Data Analyst V

Boise, ID · Remote

$130K/yr

Synthesize and analyze customer feedback from multiple sources (e.g., surveys, digital analytics, behavioral, and operational data) across end-to-end customer journeys to identify trends, pain points ...

Job Summary We are seeking a Data Analyst to analyze large datasets and deliver actionable insights that improve product quality, operational performance, and customer experience. The ideal candidate ...

Data Analyst Remote Product Operations' focus is to support and educate the people and businesses who use our products through direct interactions and scalable solutions. We develop processes to help ...

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Operational Data Analyst information

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$34K

$82.6K

$136K

How much do operational data analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for operational data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Operational Data Analyst vs Data Analyst?

AspectOperational Data AnalystData Analyst
Required CredentialsBachelor's in Data Science, Business, or related field; proficiency in SQL, Excel, and data visualization toolsBachelor's in Statistics, Mathematics, or related field; similar technical skills
Work EnvironmentFocus on operational data, process improvement, and real-time analytics within organizationsBroader data analysis across various projects, including market research and reporting
Employer & Industry UsageUsed in industries like manufacturing, logistics, and retail for operational insightsCommon across finance, marketing, healthcare, and other sectors for data-driven decision-making

Operational Data Analysts specialize in analyzing operational data to improve processes and efficiency, often working closely with operational teams. Data Analysts have a broader scope, working on various data projects across different departments. While both roles require similar skills and education, their focus areas and typical industries differ, making each role unique in its contribution to organizational success.

What is an Operational Data Analyst?

An Operational Data Analyst is a professional who collects, analyzes, and interprets data related to an organization's daily operations. Their main goal is to identify trends, inefficiencies, and opportunities for process improvement by working closely with operational teams. They use various data analysis tools and methods to create reports, dashboards, and actionable insights that support decision-making. Operational Data Analysts often collaborate with different departments to ensure data accuracy and optimize business performance.

What are some common challenges faced by Operational Data Analysts when working with cross-functional teams?

Operational Data Analysts often work closely with departments such as operations, finance, and IT, each of which may have different data priorities and technical backgrounds. A common challenge is translating complex data findings into actionable insights for non-technical stakeholders while ensuring data integrity across systems. Effective communication and a collaborative approach are essential to align goals, clarify requirements, and ensure successful project outcomes.

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

To thrive as an Operational Data Analyst, you need strong analytical abilities, statistical knowledge, and experience with data management, often supported by a degree in data science, statistics, or a related field. Proficiency in data analysis tools such as SQL, Excel, Python, and business intelligence platforms like Tableau or Power BI is typically required. Excellent problem-solving skills, attention to detail, and effective communication help analysts interpret complex information and share actionable insights with stakeholders. These skills are crucial for optimizing business processes, enabling data-driven decisions, and delivering measurable operational improvements.
More about Operational Data Analyst jobs
What cities are hiring for Operational Data Analyst jobs? Cities with the most Operational Data Analyst job openings:
What states have the most Operational Data Analyst jobs? States with the most job openings for Operational Data Analyst jobs include:
Infographic showing various Operational Data Analyst job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, 4% Temporary, and 8% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Data Analyst

Fm Talent Source

Atlanta, GA • On-site, Remote

Full-time

Posted 11 days ago


Job description

FM Talent Source is an enterprise that provides business and workforce solutions to help organizations nationwide overcome business challenges. Our clients include federal, state and local government agencies, Fortune 500 Companies, and non-profit organizations. Founded in 2004, we have a strong history of providing recruitment strategies and utilizing effective project and quality management methodologies to ensure our clients success.

We are seeking a Data Analyst for a full-time contract opportunity with FM Talent Source for one of our valued clients. 

Position Summary

The Data Analyst supports the analysis, interpretation, and reporting of programmatic, financial, and operational data to enable effective oversight of Head Start grants and regional performance outcomes.

Key Responsibilities

  • Collect, aggregate, and analyze program and performance data across grantees and regional portfolios
  • Develop reports, dashboards, and data products to support decision-making and performance monitoring
  • Identify trends, risks, and performance gaps and provide actionable recommendations
  • Support analysis of grant applications, monitoring results, and compliance findings
  • Prepare written analytical reports, summaries, and data visualizations for federal staff
  • Maintain data accuracy and integrity within government systems (e.g., HSES, GrantsSolutions, tracking databases)
  • Support development of standardized templates, reports, and data tools
  • Collaborate with program staff to align data insights with programmatic actions

Minimum Qualifications

  • Bachelor’s degree in data analytics, statistics, information systems, public administration, or related field
  • 3–5+ years of experience in data analysis, reporting, or program evaluation
  • Strong proficiency in Excel and data analysis tools
  • Experience working with federal data systems or structured datasets preferred
  • Ability to translate complex data into clear, actionable insights

Work Environment

  • Primarily onsite at Regional Office with approved ADS flexibility
  • Remote work permitted only under approved or contingency conditions

Compensation Range: The salary range provided is determined by market value, internal equity, and the candidate's experience and qualifications. Offers will be extended within this range, though not all candidates will receive an offer at the upper limit.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law.