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Compensation Data Analytics Jobs in Utah (NOW HIRING)

iCapital

Data Analytics - Associate

Salt Lake City, UT · On-site +1

$70K - $100K/yr

iCapital is looking to hire a Data and Analytics, Associate to measurably drive growth for the ... compensation package which includes salary, equity for all full-time employees, and an annual ...

iCapital

Data Analytics - Associate

Salt Lake City, UT · On-site

$70K - $100K/yr

iCapital is looking to hire a Data and Analytics, Associate to measurably drive growth for the ... compensation package which includes salary, equity for all full-time employees, and an annual ...

Any Hour Group

Compensation Analyst

Orem, UT · On-site

Analyze compensation data and prepare reports for leadership to support decisionmaking. * Track and model incentive plan performance, identifying trends, risks, and opportunities for improvement.

Wsgr

Compensation Analyst

Salt Lake City, UT · Hybrid

Work with the HRIS to evaluate and implement new Workday features for compensation; support analytics and dashboard projects requiring compensation data; ensure new configurations are accurately ...

Sunpower

Commission Compensation Analyst

South Jordan, UT · On-site

$60K - $70K/yr

Maintain accurate compensation data in spreadsheets and internal systems * Help investigate and ... Experience with analysis and managing or leading others * Strong communication (written and verbal ...

SunPower

Commission Compensation Analyst

South Jordan, UT · On-site

$60K - $70K/yr

Maintain accurate compensation data in spreadsheets and internal systems * Help investigate and ... Experience with analysis and managing or leading others * Strong communication (written and verbal ...

Brady

Jr. Data Analyst

Salt Lake City, UT · On-site

We are seeking a detail-oriented Jr. Data Analyst to serve as the operational backbone of our sales compensation and data processes. In this role, you will be responsible for the accurate and timely ...

Brady Corporation

Jr. Data Analyst

Salt Lake City, UT · On-site

... the compensation system. Data Quality & Stewardship * Data Cleansing: Regularly audit sales data for duplicates, missing fields, or incorrect hierarchies to ensure the analytics team is building ...

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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?

In data analytics, senior roles such as Data Analytics Director, Chief Data Officer, or Lead Data Scientist tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in statistical analysis, machine learning, and experience with tools like SQL, Python, or R, along with leadership responsibilities.

What jobs pay 200,000 a year in the USA?

In compensation data analytics, senior roles such as Compensation Managers, Compensation Directors, and Compensation Vice Presidents often earn $200,000 or more annually, especially with extensive experience and certifications like CCP or CBP. High-level data analysts and consultants in compensation may also reach this salary level, particularly in large organizations or consulting firms. These roles typically require advanced analytical skills, knowledge of compensation structures, and proficiency with data tools like Excel, SQL, or Tableau.

What jobs pay 500,000 a year?

In compensation data analytics, senior roles such as Chief Compensation Officer or compensation consultants with extensive experience and specialized skills can earn $500,000 or more annually. These positions often require advanced degrees, certifications, and a deep understanding of compensation strategies, market trends, and data analysis tools. High-level executive roles across various industries may also reach or exceed this salary level.

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.

Is AI replacing data analysts?

AI is transforming the role of compensation data analysts by automating routine data processing and analysis tasks, allowing analysts to focus on strategic insights and decision-making. While AI tools can enhance efficiency, human expertise remains essential for interpreting complex data, ensuring data quality, and applying context-specific judgment. The role continues to evolve with skills in data visualization, statistical analysis, and AI tool proficiency becoming increasingly valuable.
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 job categories do people searching Compensation Data Analytics jobs in Utah look for? The top searched job categories for Compensation Data Analytics jobs in Utah are:
What cities in Utah are hiring for Compensation Data Analytics jobs? Cities in Utah with the most Compensation Data Analytics job openings:
Compensation Data Analytics jobs near you

Data Analytics - Associate

iCapital

Salt Lake City, UT • On-site, Remote

$70K - $100K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Job description

iCapital is looking to hire a Data and Analytics, Associate to measurably drive growth for the Operations and Investment Management (OIPM) group at iCapital. This role involves defining and calculating operational KPIs, transforming raw source data into processed business data, creating live dashboards to monitor performance, identifying driver metrics and statistical correlations, and finally working with business teams to enable data-driven change. This individual will sit in the Analytics group of the broader Data and Analytics team within Technology and will work closely with the Data Engineering group. 

On the technical side, this role will interface with the data stack of Airbyte, Snowflake, dbt, Prefect, Python and Tableau, among others. On the business side, this role will work with the Operations teams to produce management visibility, efficiency improvements and workflow automation. Ideal candidates will be highly proficient in our technical tooling, understand complex business problems, interface with senior stakeholders, develop execution plans, and finally present on their work.

 

Responsibilities

  • Write SQL within dbt to extract, transform, validate, and aggregate data.
  • Create Tableau dashboards for various business teams, charting key metrics and performing exploratory data analysis.
  • Monitor and deploy data pipelines into the orchestration infrastructure using Prefect.
  • Drive projects to completion by gathering business requirements, implementing technical solutions, following software best engineering practices, and presenting on results.
  • Work closely with the Engineering, Product and Business teams to form a thorough understanding of the industry and evolving data mode.
  • Convert data insights into concrete, action-oriented and phased execution plans that measurably grow various business metrics over time.

Qualifications

  • Bachelor's degree or higher in computer science, economics, mathematics, statistics or a related technical field
  • 3-5 years of experience in a data-related role
  • Excellent writing, communication and presentation skills
  • Excellent knowledge of SQL (dbt experienced is preferred)
  • Good knowledge of a business intelligence tool (i.e. Tableau, Looker, PowerBI)
  • Good knowledge of Python, Microsoft Excel and intermediate statistics
  • Familiar with data science techniques and machine learning models
  • Prior experience with end-to-end project delivery (i.e. requirements gathering, scoping, working within large organizations, and presenting on project plans and results)
  • Detail-oriented, naturally curious and willing to question the status quo to understand business needs
  • Prior experience in financial services and alternative investments
  • Prior experience in business analyst or project management roles

Benefits

The base salary range for this role is $70,000 to $100,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

 

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

 

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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