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Compensation Data Analytics Jobs in Maryland (NOW HIRING)

Sabre Systems LLC

Data Analytics Engineer

Lexington Park, MD · On-site

$111K - $133K/yr

Work hand-in-hand with data analysts & data scientists to ready diverse data sources for analytics ... Military background a plus Compensation Statement At Sabre Systems, LLC, compensation is based on ...

Sabre Systems LLC

Data Analytics Engineer

Lexington Park, MD

$111K - $133K/yr

Work hand-in-hand with data analysts & data scientists to ready diverse data sources for analytics ... Military background a plus Compensation Statement At Sabre Systems, LLC, compensation is based on ...

Under Armour

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... No relocation provided Base Compensation $125,000.00-$165,000.00 USD Most new hires fall within ...

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Compensation Data Analytics information

What is compensation data analytics?

Compensation data analytics is the process of collecting, analyzing, and interpreting data related to employee compensation, such as salaries, bonuses, and benefits. This field helps organizations make informed decisions about pay structures, ensure competitive and equitable compensation, and comply with legal requirements. By leveraging data analytics, companies can identify trends, address pay disparities, and optimize their compensation strategies to attract and retain top talent.

What are the key skills and qualifications needed to thrive as a Compensation Data Analytics professional, and why are they important?

To thrive as a Compensation Data Analytics professional, you need strong analytical skills, a solid understanding of compensation structures, and a degree in fields like HR, finance, or statistics. Familiarity with HR information systems (HRIS), data visualization tools like Tableau or Power BI, and proficiency in Excel or statistical software such as R or Python are commonly required. Attention to detail, problem-solving abilities, and effective communication skills help you translate complex data into actionable insights for stakeholders. These skills ensure accurate, data-driven compensation strategies that support organizational goals and fair employee practices.

What is the difference between Compensation Data Analytics vs Compensation Analyst?

AspectCompensation Data AnalyticsCompensation Analyst
CredentialsDegree in HR, Business, or Data Analytics; often certifications in data analysisDegree in HR, Business, or related field; HR certifications common
Work EnvironmentData-focused, analytical tasks, often in HR or compensation departmentsHR teams, compensation planning, employee benefits
Industry UsageUsed across industries for data-driven compensation strategiesPrimarily in HR and compensation departments within various industries
Search & Comparison IntentFocus on data analysis skills and tools for compensation dataFocus on salary structures, benefits, and employee compensation policies

Compensation Data Analytics involves analyzing large datasets to inform compensation strategies, requiring strong data skills. Compensation Analysts focus on designing and managing salary structures and benefits. Both roles collaborate but differ mainly in their focus—data analysis versus policy implementation.

What is the highest paying job in data analytics?

The highest paying roles in data analytics typically include Data Science Directors, Chief Data Officers, and Analytics Executives, with salaries often exceeding $150,000 annually. These positions require advanced skills in statistical analysis, machine learning, and leadership, and are usually found in large corporations or tech companies.

What jobs make $1,000,000 a year?

In compensation data analytics, roles such as chief data officer, senior data scientist, or executive-level positions in finance and technology can reach or exceed $1 million annually, often through base salary, bonuses, and stock options. These high earnings typically require extensive experience, advanced skills in data modeling and analytics tools, and leadership responsibilities. Such compensation is more common in large corporations or successful startups with significant revenue and growth potential.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment a data analyst's work, it is unlikely to fully replace the role in the near future.

How does a Compensation Data Analytics professional typically collaborate with HR and business leaders to inform pay decisions?

Compensation Data Analytics professionals work closely with HR teams and business leaders by providing data-driven insights that guide salary structures, incentive plans, and pay equity initiatives. They interpret data from salary surveys, internal pay records, and market trends, translating complex analyses into actionable recommendations. Regular meetings and presentations are common, ensuring that stakeholders understand compensation trends and can make informed decisions that support organizational goals. Effective communication and collaboration are key, as these professionals often bridge the gap between technical analytics and strategic HR planning.

What jobs pay 500,000 a year in the US?

In compensation data analytics, senior roles such as Chief Compensation Officer or Compensation Director can reach or exceed $500,000 annually, especially in large corporations or industries with high compensation packages. These positions often require extensive experience, advanced certifications, and expertise in data analysis, market trends, and compensation strategy.
What are popular job titles related to Compensation Data Analytics jobs in Maryland? For Compensation Data Analytics jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Compensation Data Analytics jobs in Maryland look for? The top searched job categories for Compensation Data Analytics jobs in Maryland are:
What cities in Maryland are hiring for Compensation Data Analytics jobs? Cities in Maryland with the most Compensation Data Analytics job openings:
Compensation Data Analytics jobs near you

Specialist, Data Analytics

National Association Of Community Health Centers Inc

Bethesda, MD • On-site

$63K - $75K/yr

Full-time

Posted yesterday

New

Job description

Job Title: Specialist, Data Analytics

Location: Bethesda, Maryland (Hybrid)

Reports To: Director, Data Analytics

FLSA Status: Exempt

________________________________________

About NACHC:

Founded in 1971, the National Association of Community Health Centers (NACHC) serves as the leading voice for America’s Health Centers and the people and communities they serve. NACHC works to promote the provision of high-quality, affordable, community-based health care to everyone, particularly to underserved populations.

________________________________________

Position Summary:

The Data Specialist independently conducts quantitative, qualitative, mixed-method, and survey-based research supporting NACHC's national research agenda. The position analyzes complex health-related data, develops evidence-based publications, and contributes to sponsored research, policy analyses, and strategic initiatives that inform Community Health Centers, policymakers, and national partners.

Working closely with the Data Analytics Manager, the Data Specialist provides technical support throughout the research lifecycle, including study design, survey development, data collection, statistical analysis, literature reviews, interpretation of findings, and dissemination of research products.

________________________________________

Key Responsibilities:
    1. Research Design and Data Analysis
  • Conduct quantitative, qualitative, mixedmethod, survey, and secondarydata analyses using UDS and other national health datasets.
  • Design and program surveys, develop data collection tools, and monitor data quality throughout project implementation.
  • Clean, validate, merge, manage, and analyze complex datasets while ensuring data integrity and methodological accuracy.
  • Develop statistical tables, dashboards, charts, maps, and other data visualizations to communicate research findings.
      • 2. Research Implementation and Scientific Support
  • Conduct literature reviews, environmental scans, and background research to support study design and proposal development.
  • Assist in developing research protocols, analytic plans, survey instruments, and evaluation methodologies.
  • Perform qualitative coding, thematic analysis, and synthesis of research findings.
  • Ensure research documentation and analytic files are complete, accurate, and reproducible.
      • 3. Publications and Dissemination
  • Draft reports, issue briefs, fact sheets, manuscripts, conference abstracts, presentations, and other research products.
  • Translate complex research findings into accessible materials for health centers, policymakers, and other audiences.
  • Develop presentation materials, infographics, dashboards, and visual summaries of research findings.
  • Support conference presentations, webinars, technical assistance activities, and dissemination of research results.
      • 4. Project Coordination and Collaboration
  • Coordinate assigned research activities and monitor project timelines, deliverables, and reporting requirements.
  • Collaborate with internal staff, consultants, health centers, and external research partners.
  • Maintain project documentation, shared workspaces, research databases, and tracking systems.
  • Support proposal development, grant reporting, and other sponsored research activities.

    • ________________________________________

    Required Qualifications:
  • Master's degree in public health, epidemiology, health services research, biostatistics, public policy, social science, or a related field.
  • 2+ years of applied research experience, including quantitative or qualitative analysis.
  • Experience conducting survey research, statistical analysis, or program evaluation preferred.
  • Knowledge of quantitative, qualitative, and mixedmethod research methodologies.
  • Experience analyzing healthrelated data and interpreting research findings.
  • Strong analytical, organizational, and criticalthinking skills.
  • Excellent scientific writing and verbal communication skills.
  • Ability to manage multiple assignments while meeting deadlines.
  • Ability to work independently while contributing effectively to multidisciplinary project teams.
  • 10% travel to NACHC conferences and events.
    • Key Skills and Competencies:
  • Strong proficiency in Microsoft Excel and Microsoft Office.
  • Experience with statistical software such as SPSS, SAS, Stata, R or other advanced analytic software preferred
  • Experience with survey platforms such as Qualtrics or SurveyMonkey.
  • Experience with Power BI, Tableau, ArcGIS, or other data visualization tools preferred.
  • Proficiency in using Asana or other project management software
  • Tableau, ArcGIS or mapping software
  • Data visualization
  • Team collaboration
  • Professional communication

    • ________________________________________

    Why Join NACHC?

    At NACHC, you’ll be part of a dedicated and collaborative team working to improve the health and well-being of communities nationwide. We offer competitive compensation, comprehensive benefits, and opportunities for growth in a purpose-driven organization.

    Salary: $63,000 - $75,000

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