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Compensation Data Analytics Jobs in Utah (NOW HIRING)

... Analytics, Economics, Statistics, Information Systems, Human Resources, ora related field. * 2+ years of experience in a role that combined HR, compensation, or benefits data with hands-on analysis ...

... Analytics, Economics, Statistics, Information Systems, Human Resources, or a related field. * 2+ years of experience in a role that combined HR, compensation, or benefits data with hands-on analysis ...

Financial Data Analytics Manager

Midvale, UT · On-site

$99K - $130K/yr

... compensation, expense and capital allocation, and other Finance capabilities. The Financial Data Analytics Manager will combine people leadership, financial-domain knowledge, data analytics ...

Build and maintain compensation dashboards and reporting for the Business Partner team and leadership; deliver ad hoc analysis on pay equity, budget impact, and trends. * Translate compensation data ...

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

You will play a key role in advancing our data analytics capabilities, ensuring data is reliable ... What We Offer Packsize considers several factors when determining compensation when extending a job ...

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

You will play a key role in advancing our data analytics capabilities, ensuring data is reliable ... What We Offer Packsize considers several factors when determining compensation when extending a job ...

Data Engineer

Salt Lake City, UT · On-site

$125 - $150/hr

You will play a key role in advancing our data analytics capabilities, ensuring data is reliable ... What We OfferPacksize considers several factors when determining compensation when extending a job ...

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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 Utah?

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

What cities in Utah are hiring for Compensation Data Analytics jobs?

Cities in Utah with the most Compensation Data Analytics job openings:

Manager, Data Analytics

Salt Lake City, UT • On-site

Western Governors University
Colleges, Universities, and Professional Schools • 5 - 10K employees

$116K - $209K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Western Governors University rating

8.5

Company rating: 8.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

82nd of 631 rated colleges and universities


Job description

If you're passionate about building a better future for individuals, communities, and our country-and you're committed to working hard to play your part in building that future-consider WGU as the next step in your career.
Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.
The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:
Grade: Management_Executive 609
Pay Range: $116,600.00 - $209,900.00
Job Description
At WGU, data is a powerful tool for understanding student experiences, driving institutional effectiveness, and improving outcomes at scale. As the Manager, Data Analytics, you will lead a team of data analysts responsible for delivering insights that support Academic Delivery and School Analytics stakeholders across the university.
In this role, you will combine people leadership, technical expertise, and strategic thinking to help leaders make informed decisions that enhance student success. You will partner closely with academic and operational leaders to translate complex business questions into actionable analytics, foster a culture of data-informed decision-making, and contribute to WGU's commitment to equity and extraordinary student outcomes.
What You'll Do
  • Lead, coach, and develop a team of data analysts while fostering a collaborative, accountable, and high-performing team culture.
  • Partner with Academic Delivery, School Analytics, and cross-functional stakeholders to identify analytics needs, define priorities, and translate business requirements into actionable analytical solutions.
  • Drive complex analytics initiatives from planning through execution, including project management, stakeholder communication, resource allocation, risk mitigation, and ongoing monitoring.
  • Lead the development and delivery of reports, dashboards, forecasts, and analytical insights that support strategic and operational decision-making.
  • Collaborate with Data Engineering and technical partners to identify appropriate data sources, improve data pipelines, and support the development of scalable data products.
  • Use data visualization, storytelling, and analytical rigor to communicate findings and recommendations that drive action and improve outcomes.
  • Support data literacy, KPI development, operational excellence, and responsible data governance across the university.

What You'll Bring
  • Bachelor's Degree in a related field.
  • 5 years of experience in a Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Computer Science, Marketing Analytics, Mathematics, or a related domain.
  • 1 year of experience in people leadership.
  • Ability to create healthy work environments conducive to collaboration, learning, accountability, and high performance, including experience with hiring, onboarding, coaching, performance management, and succession planning.
  • Experience defining team and individual objectives utilizing OKRs, SMART metrics, and similar frameworks.
  • Demonstrated proficiency handling diverse data sources and advanced data manipulation techniques, including experience measuring, collecting, analyzing, and reporting data to optimize student outcomes.
  • Advanced SQL proficiency, including joins, aggregations, window functions, common table expressions (CTEs), views, data modification statements, and performance tuning.
  • Experience with Tableau, Power BI, or similar data visualization platforms.
  • Experience applying forecasting methods, descriptive statistics, experimentation, hypothesis testing, and diagnostic analytics to solve complex business problems.
  • Experience using Agile project management methodologies and tools such as JIRA, Trello, or similar platforms.
  • Advanced proficiency in Microsoft Office, including Excel.
  • Experience using diagramming and collaboration tools such as Miro, Lucidchart, or similar applications.
  • Ability to operate with a high degree of autonomy, reliability, initiative, and accountability while managing multiple priorities effectively.
  • Demonstrated commitment to continuous learning, professional development, innovation, and growth.

Bonus Points
  • Familiarity with Python and/or R.
  • Experience working within higher education.
  • Familiarity with higher education data sources such as IPEDS, National Student Clearinghouse, Burning Glass, EMSI, or similar data sources supporting analytics and institutional decision-making.

Experience in Lieu of Education
Equivalent relevant experience performing the essential functions of this role may substitute for education degree requirements. Generally, equivalent relevant experience is defined as one year of experience for one year of education and is at the discretion of the hiring manager.
What to Expect
At WGU, our mission drives everything we do, including how we hire. Our interview experience is designed to give qualified candidates the opportunity to show their best work through meaningful conversations and collaboration.
We thoughtfully review every application and invite forward the candidates whose experience and potential best align with the role and our mission.
  • Recruiter Screen (30 minutes)
  • Hiring manager interview (30 minutes)
  • Peer interviews (60 minutes)
  • Stakeholder interview (30 minutes)
  • Stakeholder interview (30 minutes)

Work Location
This is a full-time, in-office position requiring five days per week in our Salt Lake City, Utah office, designed to foster the collaboration and connection that fuel our best work.
Visa Sponsorship
While we welcome applicants from all backgrounds, WGU is not able to provide visa sponsorship for this role.
Travel Requirement
This position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences, visits to company locations, and other business-related events as needed. Additional travel may be assigned as needed to support business requirements.
Position & Application Details
Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.
How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.
Additional Information
Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive.
Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.

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