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Compensation Data Analytics Jobs in Fairborn, OH

Senior Compensation Analyst

Dayton, OH · On-site

$93K - $141K/yr

The Senior Compensation Analyst will help develop new compensation policies and practices to ... Advanced data and predictive analytics skills, with experience using Excel, Power BI and Workday ...

Management experience Knowledge/Skills Demonstrated ability to exercise independent judgment, analyze complex compensation issues, and make sound, data driven decisions. Strong interpersonal ...

Demonstrated ability to exercise independent judgment, analyze complex compensation issues, and make sound, data driven decisions. * Strong interpersonal, communication, and relationship building ...

Demonstrated ability to exercise independent judgment, analyze complex compensation issues, and make sound, data driven decisions. * Strong interpersonal, communication, and relationship building ...

The Senior Compensation Analyst assists the cooperative with governance, oversight, analysis ... data gathering and execution. (5%) 8) Leads compensation-specific training for management and ...

Support data collection, integration, and preparation for visual analytics and reporting. * Develop ... This job posting, including but not limited to, qualifications, duties, compensation and benefits ...

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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 Fairborn, OH?

For Compensation Data Analytics jobs in Fairborn, OH, the most frequently searched job titles are:

What job categories do people searching Compensation Data Analytics jobs in Fairborn, OH look for?

The top searched job categories for Compensation Data Analytics jobs in Fairborn, OH are:

What cities near Fairborn, OH are hiring for Compensation Data Analytics jobs?

Cities near Fairborn, OH with the most Compensation Data Analytics job openings:

Infographic showing various Compensation Data Analytics job openings in Fairborn, OH as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

Program Analytics & Data Visualization Specialist I

Guidehouse

Beavercreek, OH • Remote

$70K - $116K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 29 days ago


Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

35th of 72 rated business consultants


Job description

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

  • Design, develop, and maintain interactive dashboards, reports, and visual analytics solutions using Microsoft Power BI.

  • Gather and translate business, operational, programmatic, and stakeholder requirements into actionable analytics and reporting products.

  • Develop and optimize Power BI data models, semantic models, DAX measures, calculated columns, and performance-tuned reporting solutions.

  • Design and implement data transformation workflows using Power Query (M) and related extract, transform, and load (ETL/ELT) processes.

  • Conduct statistical, trend, and quantitative analyses to support program evaluation, operational decision-making, performance measurement, and reporting requirements.

  • Perform geospatial analysis and geographic visualization using Power BI mapping capabilities, GIS tools, and spatial datasets.

  • Analyze, profile, validate, and monitor data quality to ensure reporting accuracy, consistency, and reliability.

  • Collaborate with program leaders, technical teams, data stewards, and client stakeholders to define metrics, KPIs, reporting standards, and analytical approaches.

  • Support public health, healthcare, government, or mission-focused analytics initiatives through data-driven insights and visualization.

  • Leverage emerging artificial intelligence and machine learning capabilities to enhance analytics workflows, reporting efficiency, data discovery, and decision support.

  • Develop technical documentation, data dictionaries, dashboard user guides, and reporting methodologies.

  • Present findings, recommendations, and analytical insights to technical and non-technical audiences.


What You Will Need:

  • US Citizen or permanent resident; must have ability to obtain and maintain a Public Trust clearance.

  • Bachelor's degree.

  • THREE (3) or more years of experience in business intelligence, analytics, reporting, data visualization, public health informatics, healthcare analytics, or a related field.

  • Experience developing dashboards and reporting solutions using Microsoft Power BI.

  • Experience with:

    • Power BI Desktop

    • Power BI Service

    • DAX

    • Power Query (M)

    • Data modeling and semantic models

    • Report and dashboard development

    • Data visualization best practices

  • Experience performing data analysis using SQL and/or statistical analysis tools.

  • Experience working with structured and semi-structured datasets from multiple data sources.


What Would Be Nice To Have:

  • Master's degree in Public Health, Health Informatics, Data Science, Analytics, Statistics, Computer Science, Information Systems, Geography/GIS, or a related field.

  • Knowledge of data governance, data quality, metadata management, and reporting standards.

  • Experience eliciting business requirements and collaborating with stakeholders.

  • Strong written, verbal, and presentation communication skills.

  • Ability to work independently and within cross-functional teams.

  • Experience supporting federal health, public health, healthcare, or government programs.

  • Experience with public health informatics standards, data exchange, surveillance, epidemiology, or population health analytics.

  • Experience with GIS and geospatial analytics tools such as ArcGIS, ArcGIS Online, or QGIS.

  • Experience with Python, R, SAS, SPSS, or other analytical/statistical programming tools.

  • Experience with cloud-based data and analytics platforms including: Databricks, Snowflake, Palantir Foundry, Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric

  • Familiarity or experience with Power Platform technologies including: Power Apps, Power Automate, Power Pages, Power Virtual Agents

  • Familiarity with data integration, API connectivity, and enterprise data architectures.

  • Knowledge of responsible AI, AI governance, AI literacy, or AI implementation practices.

  • Microsoft certifications such as: Power BI Data Analyst Associate, Fabric Analytics Engineer Associate, Azure Data Engineer Associate

  • Experience supporting Agile project delivery environments.

The annual salary range for this position is $70,000.00-$116,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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