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Administrative Data Analyst Jobs (NOW HIRING)

Data Analyst

New Orleans, LA · On-site

$55K - $65K/yr

The Data Analyst provides technical, analytical, and administrative support. This role supports the Programs Supervisor by managing datasets, maintaining records, assisting with documentation and ...

Seeking a Data Analyst to support the CIO Division. This position serves as a data analyst ... of administrative/operational needs. Level of Supervision Required: * The supervisor sets the ...

Data Analyst

Washington, DC · On-site

$130 - $150K/hr

Seeking a Data Analyst to support the CIO Division. This position serves as a data analyst ... of administrative/operational needs. Level of Supervision Required: * The supervisor sets the ...

Data Analyst

Washington, DC · On-site

$130 - $150K/hr

Seeking a Data Analyst to support the CIO Division. This position serves as a data analyst ... of administrative/operational needs. Level of Supervision Required: * The supervisor sets the ...

Data Analyst

Washington, DC · On-site

$140K - $160K/yr

Seeking a Data Analyst to support the CIO Division. This position serves as a data analyst ... of administrative/operational needs. Level of Supervision Required: * The supervisor sets the ...

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Administrative Data Analyst information

See salary details

$32.5K

$74.3K

$111.5K

How much do administrative data analyst jobs pay per year?

As of Jul 4, 2026, the average yearly pay for administrative data analyst in the United States is $74,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $85,500.00 per year, depending on experience, location, and employer.

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

To thrive as an Administrative Data Analyst, you need strong analytical skills, attention to detail, and a background in statistics or business administration, often supported by a relevant degree. Familiarity with data analysis tools such as Excel, SQL, and business intelligence platforms like Tableau or Power BI is typically required. Excellent communication, problem-solving abilities, and organizational skills help you interpret data and present actionable insights to stakeholders. These competencies are crucial for turning complex data into valuable information that supports efficient administrative decision-making and process improvements.

What is the difference between a data analyst and an Administrative Analyst?

An Administrative Data Analyst focuses on analyzing organizational data to improve administrative processes, often using tools like Excel or SQL. In contrast, a general data analyst may work across various industries, analyzing large datasets to support decision-making, and may require skills in statistical software and data visualization. The roles differ mainly in their focus areas and the specific skills or tools they utilize.

Is 40 too late for data science?

For an Administrative Data Analyst, transitioning into data science at age 40 is feasible, especially with relevant skills like programming, statistics, and data visualization. Many professionals successfully switch careers or advance later in life by gaining certifications, online courses, and practical experience.

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

Administrative Data Analysts frequently work cross-functionally, partnering with departments like HR, finance, and operations to gather data, understand reporting needs, and deliver actionable insights. They often facilitate meetings to clarify data requirements and translate complex findings into clear reports or dashboards tailored to each department. This collaborative approach ensures that decision-makers across the organization have accurate and relevant information to support their objectives, and it helps the analyst build a strong understanding of diverse business processes.

Is a data analyst a high paid job?

Data analysts, including those in administrative data analysis roles, typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may have moderate pay, while experienced analysts with specialized skills in tools like Excel, SQL, or Tableau can command higher salaries. Overall, data analysis is considered a well-paying profession within the data and business intelligence fields.

What is the difference between Administrative Data Analyst vs Data Coordinator?

AspectAdministrative Data AnalystData Coordinator
Required CredentialsBachelor's in Business, Data Analysis, or related field; proficiency in Excel, SQLBachelor's in Information Systems, Data Management, or related; experience with data systems
Work EnvironmentOffice setting, data analysis teams, administrative departmentsData management teams, IT departments, administrative offices
Employer & Industry UsageHealthcare, government, education, corporate sectorsHealthcare, nonprofit, government agencies, research institutions
Common Search & ComparisonYesYes

The Administrative Data Analyst focuses on analyzing and interpreting data to support administrative functions, often requiring skills in data analysis tools. Data Coordinators primarily manage and organize data systems, ensuring data accuracy and integrity. While both roles work with data, the analyst emphasizes analysis and reporting, whereas the coordinator emphasizes data management and system maintenance.

What are Administrative Data Analysts?

Administrative Data Analysts are professionals who collect, process, and analyze data related to administrative functions within an organization. They use statistical tools and software to interpret data sets, identify trends, and provide actionable insights to improve efficiency and decision-making. Their work often involves preparing reports, maintaining databases, and supporting management with data-driven recommendations. Administrative Data Analysts typically collaborate with various departments to streamline processes and enhance organizational performance.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Data analysts will increasingly work alongside AI tools, focusing on higher-level analysis, storytelling, and decision support skills.
More about Administrative Data Analyst jobs
What cities are hiring for Administrative Data Analyst jobs? Cities with the most Administrative Data Analyst job openings:
Infographic showing various Administrative Data Analyst job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $74,320 per year, or $35.7 per hour.
Senior Health Data Analyst I

$87K - $110K/yr

Full-time

Medical

Posted 18 days ago


Job description

The Senior Healthcare Data Analyst I contributes to the overall success of the organization by
developing analytic solutions that support activities related to health services utilization
management, care coordination, quality improvement and population health. Through analyzing
patient claims, member enrollment, and other data, the Senior Healthcare Data Analyst
participates in identifying progress, performance and opportunities for improvement on
programs, quality of care, patient experience, and other metrics. This position requires a
thorough understanding of healthcare data and workflows, combined with an extensive
experience working with large data sets, conducting data analysis, including standard statistical
software (SAS), and creating reports using Tableau.


  • Works collaboratively with business partners, other analysts, and IT to gather and
    integrate data from disparate sources.
  • Responds to ad hoc data requests from business units and leadership
  • Assists in design and development of data collection strategies, aggregation, analysis,
    and reporting to ensure data integrity and enhance information value.
  • Participates in design and interpretation of data analyses; provides recommendations for
    improvement of data quality and reporting.
  • Helps build, manage, and/or enhance predictive models
  • Assesses reporting and automation requirements and develops appropriate solutions.
  • Maintains in-depth knowledge of health plan operations, including claims processing,
    utilization management, quality improvement activities and pay for performance programs.
  • Critically analyzes data, draws conclusions and effectively articulates results.
  • Presents data and conclusions to non-technical audience; uses data visualizations and
    summaries to highlight key findings.
  • Creates and maintains thorough and consistent documentation of programs used to
    create reports.
  • Manages and prioritizes workload while meeting deliverables and expectations.
  • Works autonomously and collaboratively with report requestors, providing guidance to
    define report requirements and validate results.
  • Works collaboratively across departments to understand and meet the organization’s
    analytic needs.

SECONDARY DUTIES AND RESPONSIBILITIES

  • Performs other assigned or needed activities required to assure success of the
    organization.
  • Participates in special projects as needed.
  • Performs other duties as assigned.

General Traits

  • Passionate about data, willing to acquire new skills and knowledge, flexible, self-motivated, and very curious.
  • Creative problem-solver, critical thinker, independent worker, data-driven mentality.
  • Communicates clearly and directly, relates well to others, engages people, provides and seeks feedback, articulates clearly, actively listens.

Education and Experience

Bachelor’s degree with concentration in health informatics, health administration, public health, computing, epidemiology, statistics or related field, Master’s degree preferred. Minimum four (4) years of
experience in data analysis and reporting. Knowledge of major health plan operations: healthcare claims processing, membership, provider, and benefits; or equivalent combination of education and experience.
Excellent knowledge of data collection, analysis, statistics and data presentation with experience in data mining techniques and procedures. Experience using statistical packages for analyzing large data sets, SAS and/or SQL a plus. Experience working with administrative data, ideally health care data (Medicaid data a plus). Understanding of health data formats including claims, lab and pharmacy. Knowledge of clinical coding systems (e.g., ICD9, ICD10, CPT).

 

 

Special Skills, Licenses and Certifications

Proficiency in inferential and predictive statistical analysis. MS Office, Excel, SQL, SAS, Tableau.
Ability to present complex information in an understandable and compelling manner.

 

 

Performance Based Competencies

Ability to quickly acquire in-depth knowledge of various systems related to claims processing, membership, provider, and benefits at Partnership. Strong written and oral communication skills with ability to interpret and
understand technical requirements. Excellent analytical skills to troubleshoot and resolve data issues. Must be highly organized and proficient at multi-tasking. Must be willing and able to provide gracious assistance to users, providers, and other constituents of Partnership.

Work Environment And Physical Demands

More than 50% of work time is spent at a video display terminal.

All HealthPlan employees are expected to:

  • Provide the highest possible level of service to clients;
  • Promote teamwork and cooperative effort among employees;
  • Maintain safe practices; and
  • Abide by the HealthPlan’s policies and procedures, as they may from time to time be updated.

HIRING RANGE:

$106,667.05 - $138,667.16

IMPORTANT DISCLAIMER NOTICE

The job duties, elements, responsibilities, skills, functions, experience, educational factors and the requirements and conditions listed in this job description are representative only and not exhaustive or definitive of the tasks that an employee may be required to perform. The employer reserves the right to revise this job description at any time and to require employees to perform other tasks as circumstances or conditions of its business, competitive considerations, or work environment change.