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Data Support Analyst Jobs (NOW HIRING)

Provide user support to DoD Analysts searching and exporting data into analysis-ready formats * Review current system workflows and analyst roles to identify opportunities for increased efficiencies

The Data analyst will be part of the support team for ALL questions related to "Tool" and "Data" within the EMIT integrated tool solution. Serve as single point of contact for IT Project tools and ...

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... iscovery support. The contractor shall apply the proper techniques and procedures to the identification, collection, examination, and analysis of data while preserving the integrity of the ...

Evolver is seeking a Data Gathering Support Analyst to join our growing team in support of a large Security Operations program based in Camp Springs MD. This is a hybrid position based that requires ...

Evolver is seeking a Data Gathering Support Analyst to join our growing team in support of a large Security Operations program based in Camp Springs MD. This is a hybrid position based that requires ...

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Data Support Analyst information

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How much do data support analyst jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for data support analyst in the United States is $37.09, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $44.71 per hour, depending on experience, location, and employer.

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

To thrive as a Data Support Analyst, you need strong analytical skills, attention to detail, and a background in data management, often supported by a degree in information technology, computer science, or a related field. Familiarity with database systems (like SQL), data visualization tools (such as Tableau or Power BI), and ticketing systems is typically required. Excellent problem-solving abilities, communication skills, and customer service orientation help you stand out in this position. These skills and qualities are crucial for ensuring data accuracy, resolving user issues efficiently, and supporting data-driven decision-making within organizations.

Is 40 too late for data science?

A Data Support Analyst role involves working with data to support decision-making, and transitioning into data science at age 40 is possible with relevant skills such as programming, statistics, and tools like Python or R. Many professionals successfully switch careers later in life by gaining certifications or additional training, and age is generally not a barrier if you develop the necessary technical expertise and experience.

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

AspectData Support AnalystData Analyst
Required CredentialsBachelor's in IT, Computer Science, or related field; certifications like Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related; certifications like Microsoft Certified Data Analyst or Tableau
Work EnvironmentSupport teams, IT departments, data management systemsData-driven departments, business intelligence teams, analytics departments
Employer & Industry UsageIT firms, finance, healthcare, retailMarketing, finance, consulting, research

The Data Support Analyst primarily focuses on maintaining data systems, troubleshooting issues, and supporting data infrastructure. In contrast, the Data Analyst interprets data, creates reports, and provides insights for decision-making. While both roles require technical skills and data knowledge, their core responsibilities differ, with the Data Support Analyst emphasizing system support and the Data Analyst emphasizing data analysis and reporting.

Is a data analyst a high paid job?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but experienced analysts with skills in tools like Excel, SQL, and data visualization can earn higher wages, making it a well-compensated role in the data field.

What is a data support analyst?

A data support analyst is a professional who assists with managing, analyzing, and troubleshooting data systems and databases. They often work with data tools like SQL, Excel, and data visualization software to ensure data accuracy and support decision-making processes.

How does a Data Support Analyst typically collaborate with other departments within an organization?

Data Support Analysts frequently work with teams such as IT, business operations, and data engineering to troubleshoot data issues, clarify requirements, and ensure data accuracy. They often act as a bridge between technical staff and business users, translating data needs and troubleshooting requests. Effective communication and collaboration are essential, as you may be called upon to participate in cross-functional meetings, assist in data integration projects, and support end-users in understanding data reports or dashboards.

What jobs in the US pay 300,000 a year?

For a Data Support Analyst, earning $300,000 annually is uncommon, as this role typically has a median salary below that threshold. High-paying roles in data and technology, such as data scientists, data engineers, or senior analytics managers, are more likely to reach or exceed this level with extensive experience, advanced skills, and relevant certifications. These positions often require specialized expertise, leadership responsibilities, and sometimes work in high-demand industries or companies.
More about Data Support Analyst jobs
What cities are hiring for Data Support Analyst jobs? Cities with the most Data Support Analyst job openings:
What states have the most Data Support Analyst jobs? States with the most job openings for Data Support Analyst jobs include:
What are popular job titles related to Data Support Analyst jobs? For Data Support Analyst jobs, the most frequently searched job titles are:
Infographic showing various Data Support Analyst job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Temporary. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $77,155 per year, or $37.1 per hour.
Data Support Analyst

Data Support Analyst

Tecolote Research

Arlington, VA • On-site

Full-time

Posted 13 days ago


Job description

Overview
We are seeking highly motivated individuals with a strong work ethic to support Department of War (DoW) projects. We are seeking an experienced data professional to support account management, data access, data submission and validation, and coordination with the entire team. This position is fast-paced and requires excellent organizational, problem solving, communication and follow-through skills.
Responsibilities
  • Manage the CADE user support, data submission planning and approvals, and data validation for weapons and/or automated information systems
  • Become a subject matter expert in the CADE system user roles, application workflows, tools (cPet), business rules, database structure, and security featureBecome an expert in Mil Std 881F and its appropriate utilization in defense acquisition reporting
  • Troubleshoot user issues with CSDR Planning or Submission and Validation workflow issues; identify issues with standard submission formats, validation errors, and planning workflow metadata, voting, and access requests
  • Work with the Cost Assessment Data Enterprise (CADE) leadership and cost community stakeholders to identify operational and application requirements
  • Provide user support to DoD Analysts searching and exporting data into analysis-ready formats
  • Review current system workflows and analyst roles to identify opportunities for increased efficiencies
  • Document requirements and create feature documents to inform the CADE software development team of the system specifications, business rules, design constraints
  • Develop test plans, perform software regression testing, and document all results for the CADE software development team and the CADE Help Desk
  • Communicate with CADE leadership regarding test results and changes to the end-product requirements

Skills Required
Successful candidates will have excellent communication, research, and analytical skills in addition to the following:
  • Between 1 and 3 years of experience in identifying, prioritizing, and data analytics or implementing software system requirement specifications
  • Proficiency in Microsoft Office (Excel, Word, Access, PowerPoint, Project)
  • Secret level security clearance required

Additional relevant experience desired for applicants includes:
  • Customer support and communication
  • R or Python experience
  • Knowledge of DoD Cost and Software Data Reporting (CSDR)
  • Cost data collection, validation and normalization techniques
  • Knowledge of Cost and Relational Databases
  • Proficiency in MS Office products
  • Ability to read, understand, and decipher Non-Disclosure Agreements (NDAs)

Education
Bachelor's degree required, preferably in math, engineering, business, or the sciences.