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Compensation Data Analytics Jobs in Maryland (NOW HIRING)

Barrow Wise Consulting

Data Analyst

MD · On-site

$70K - $110K/yr

Examine dashboard reporting, data governance, and use of analytics for decision-making * Assess the ... We offer competitive compensation packages, excellent benefits, and opportunities for growth and ...

Interclypse Inc.

Data Analyst

Annapolis, MD · On-site

Three (3) years of experience in data analytics * Experience as a data analyst or similar role with ... compensation program that enables unmatched flexibility while ensuring company, customer, and ...

Interclypse Inc.

Data Analyst

Annapolis Junction, MD · On-site

Three (3) years of experience in data analytics * Experience as a data analyst or similar role with ... compensation program that enables unmatched flexibility while ensuring company, customer, and ...

T. Rowe Price

HR Data Analyst

Owings Mills, MD · Hybrid

This role offers the opportunity to learn and advance your skills and experience in consulting and data analytics. Responsibilities * Conducts research on compensation programs and gathers ...

Base-2 Solutions, LLC

Data Scientist

Bethesda, MD · On-site

Analyze a variety of big data covering national security, cybersecurity, business intelligence ... Active Top Secret/SCI Pay & Benefit Highlights Compensation * Competitive fixed salary or hourly ...

Aston Carter

Compensation Analyst

Silver Spring, MD · On-site

$101K - $135K/yr

Ensure accuracy, consistency, and integrity of compensation and job evaluation data used for analyses, reporting, and program administration. * Validate job requirements by analyzing jobs, including ...

Aston Carter

Compensation Analyst

Silver Spring, MD · On-site

$101K - $135K/yr

Ensure accuracy, consistency, and integrity of compensation and job evaluation data used for analyses, reporting, and program administration. * Validate job requirements by analyzing jobs, including ...

Aston Carter

Compensation Analyst

Silver Spring, MD · On-site

$101K - $135K/yr

Ensure accuracy, consistency, and integrity of compensation and job evaluation data used for analyses, reporting, and program administration. * Validate job requirements by analyzing jobs, including ...

CACI

Splunk Data Analyst with Security Clearance

Laurel, MD · On-site

$103K - $218K/yr

Join our dynamic Data Analytics, Tools, and Infrastructure team as a Splunk Data Analyst. This role ... We offer competitive compensation, benefits and learning and development opportunities. Our broad ...

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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.

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 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 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

Senior Clinical Data Analyst

CareMore Health

California, MD

$130K - $195K/yr

Full-time

Posted 10 days ago

Job description

Job Description Summary

CareMore Health is seeking a Senior Clinical Data Analyst to join the analytics team to support and advance clinical analytics by analyzing clinical, claims, and operational data to uncover insights that drive improvements in quality, outcomes, and efficiency. This role is hands-on, focused on generating clear analyses, dashboards, and actionable insights that guide clinical and operational decision-making. The ideal candidate is equally comfortable writing advanced SQL, building compelling visualizations, and communicating findings in plain business language.

How will you make an impact & Requirements

Key Responsibilities:

  • Data Analysis & Insight Generation
    • Write, optimize, and maintain SQL queries to extract, transform, and analyze large datasets.
    • Analyze clinical, claims, and operational datasets to identify trends, care variation, and opportunities for improving outcomes.
    • Conduct focused deep dive analyses on quality metrics, utilization patterns, readmissions, and chronic disease management.
  • Reporting & Visualization
    • Build and maintain dashboards, reports, and scorecards that track clinical quality and operational performance in Power BI or similar visualization tools.
    • Ensure reporting aligns with organizational priorities and regulatory/quality programs (e.g., HEDIS, STARS) when applicable.
    • Continuously enhance reporting tools to improve usability, accuracy, and timeliness based on close partnership with operational and clinical stakeholders.
  • Collaboration & Clinical Support
    • Partner with providers, care teams, and quality leaders to interpret data and support performance improvement efforts.
    • Serve as primary analytics contributor in organizational improvement workgroups supporting clinical and population health initiatives.
  • Data Stewardship & Standards
    • Support standardization of definitions, metrics, and methodologies across programs and markets.
    • Collaborate with data engineering and IT teams to ensure data accuracy and availability.

Qualifications:

  • Required:
    • 3+ years of experience in data analytics, healthcare analytics, business intelligence, or related field.
    • Proficiency in SQL, including writing queries with joins and basic performance tuning.
    • Experience in creating dashboards and data visualizations that support decision-making.
    • Ability to translate analytical findings into clear, concise insights for clinical, operational, or business audiences.
    • Experience collaborating with cross-functional teams (e.g., clinical, operations, quality); comfort engaging stakeholders at various levels.
    • Strong analytical thinking, problemsolving skills, and attention to detail.
    • Excellent written and verbal communication skills.
  • Preferred:
    • 5+ years of experience in data analytics, healthcare analytics, or business intelligence.
    • Advanced SQL skills, including working complex joins, aggregations, and query optimization.
    • Strong experience building interactive dashboards and reports that influence decision-making.
    • Familiarity with quality programs such as HEDIS, STARS, CMS measures.
    • Familiarity with data modeling concepts or ETL processes.
    • Experience with tools such as Power BI, Tableau, or Databricks.
    • Background in healthcare, clinical data, population health, or valuebased care analytics.

Compensation Range:

$130,159.00

to

$195,238.00

The anticipated base salary range represents the Company's good-faith estimate of the compensation it reasonably expects to pay for this position at the time of posting. Actual compensation will be determined based on factors including experience, skills, qualifications, geographic location, internal equity, and business needs.

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