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Compensation Data Analytics Jobs in Davis, CA (NOW HIRING)

Data Analyst Senior

Sacramento, CA · On-site +1

$107K - $155K/yr

Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred. Our approach to compensation emphasizes collaboration and career growth. We pay competitive wages and view ...

Applies a range of analytics and statistical techniques to generate relevant and accurate insights ... As a part of the compensation package, this role may include eligible bonuses and commissions. For ...

Applies a range of analytics and statistical techniques to generate relevant and accurate insights ... As a part of the compensation package, this role may include eligible bonuses and commissions. For ...

Applies a range of analytics and statistical techniques to generate relevant and accurate insights ... As a part of the compensation package, this role may include eligible bonuses and commissions. For ...

Data Strategy-Manager

Sacramento, CA · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Actual compensation within the range will be dependent upon the individual's skills, experience ...

Data Governance- Manager

Sacramento, CA · On-site

$99K - $232K/yr

... Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the ...

Data Analyst II * Hourly/Salary Compensation Range: 52.50/hr * Location: Remote, onsite as needed at Client Health Plan * Hours: 8:00 AM - 5:00 PM * Start Date: 7/20/26 * Client Overview: Client ...

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software ... Actual compensation within the range will be dependent upon the individual's skills, experience ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Actual compensation within the range will be dependent upon the individual's skills, experience ...

Analytics Engineer III

Sacramento, CA · Hybrid

$117K - $176K/yr

This position is a key independent contributor and member of the System Data & Analytics team in ... Total compensation considers multiple factors, including, but not limited to a candidate ...

Analytics Engineer III

Sacramento, CA · On-site

$117K - $176K/yr

This position is a key independent contributor and member of the System Data & Analytics team in ... Total compensation considers multiple factors, including, but not limited to a candidate ...

Project - Data Engineer II

Sacramento, CA · On-site

$122K - $146K/yr

As an experienced Data Engineer - Project Delivery Senior Analyst, you will have the ability to ... making compensation decisions including but not limited to skill sets; experience and training ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Actual compensation within the range will be dependent upon the individual's skills, experience ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Actual compensation within the range will be dependent upon the individual's skills, experience ...

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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.

Is data analytics a high paying job?

Data analytics roles, including Compensation Data Analytics, are generally considered well-paying careers, especially for those with strong skills in statistical analysis, data visualization, and tools like Excel or SQL. Salaries tend to increase with experience, certifications, and advanced skills such as machine learning or programming languages like Python. Overall, data analytics is regarded as a lucrative field within the broader data and technology sectors.

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 job categories do people searching Compensation Data Analytics jobs in Davis, CA look for? The top searched job categories for Compensation Data Analytics jobs in Davis, CA are:
What cities near Davis, CA are hiring for Compensation Data Analytics jobs? Cities near Davis, CA with the most Compensation Data Analytics job openings:

Student Assistant - Data Analytics

University Enterprises, Inc.

Sacramento, CA • On-site

$17 - $20/hr

Other

Posted 6 days ago


Job description

Description
The City of Sacramento's Office of the City Manager is seeking to hire a student assistant to support strategic data analytics, performance reporting and dashboard development. The student assistant will assist with projects that help track City priorities, analyze performance data and develop dashboards that support decision-making across City departments.
Requirements
Conditions of Employment
This is a part-time, temporary, non-benefited, student position. Employment in all positions with University Enterprises, Inc. is dependent upon the mutual consent of University Enterprises, Inc. and the employee. This means that either University Enterprises, Inc. or the employee can, at any time, terminate the employment relationship at will, with or without cause.
Depending on the type of position you are applying for, a pre-employment background check consisting of one or more of the following may be conducted: employment history, professional references, criminal check: educational verification (degree, license, or official transcript) or DMV clearance. Applicants will be required to pass required pre-employment checks to the satisfaction of University Enterprises, Inc. (UEI) and the hiring Agency or Department.
UEI does not allow students to hold more than one UEI Job at a time, or work in more than one account per pay period. UEI employees who are considering leaving their current UEI student assistant position for a different UEI student assistant position should inform their supervisor in writing and provide at least a week's notice.
UEI is not a multi-state employer. UEI only employs candidates who live and work in the state of California. If selected for the position you must reside in California and all work must be performed in the state of California throughout the course of employment. All Applicants must be 18 years of age or older and a resident of California.
Prerequisites
Must be a college student attending classes during the regular term (Fall, Spring and Winter, if applicable), at one of the accredited colleges or universities on our affiliation list.
To view our current affiliation list please paste the following URL into your browser: http://www.calinterns.org/wp-content/uploads/Affiliation_List.pdf
Students must be enrolled in at least: six-semester units or nine quarter units for undergraduate students; four-semester units or six quarter units for graduate students.
Students declared major must match the major(s) listed in the job posting.
All Applicants must be 18 years of age or older and a resident of California.
Majors/Fields of Study
Data Science, Computer Science, Geographic Information System (GIS), Economics, Public Policy/Public Administration, or Business Analytics.
Work Schedule
Flexible Hours, part-time (15-20 hours per week), Monday through Friday.
Additional Work Schedule
Student Assistant and Graduate Assistant employees generally work up to 24 hours per workweek (Sunday - Saturday) during the academic year and up to 40 hours per workweek during breaks; (winter, spring, and summer).
Compensation
$17.00 to $20.00 an hour.
Minimum Qualifications
  • Strong written and verbal communication skills, with the ability to convey information clearly and professionally.
  • Strong analytical and problem-solving skills with the ability to interpret data and communicate findings.
  • Ability to work both independently and collaboratively in a professional, team-oriented environment.
  • Strong organizational skills, attention to detail, and ability to manage multiple tasks and deadlines.
  • Experience working with data analysis, reporting, and performance measurement, including the ability to organize, analyze, and interpret complex datasets.

Preferred Qualifications
  • Coursework or experience in data analysis, reporting or visualization.
  • Familiarity with Microsoft Excel and an interest in learning Power BI, SQL and other data analysis tools.
  • Exposure to GIS/ArcGIS, Python or R is a plus.

Duties and Responsibilities
  • Support strategic data analytics and performance reporting initiatives.
  • Assist with collecting, organizing, and analyzing data.
  • Develop and maintain dashboards to track City priorities and performance metrics.
  • Create reports and data visualizations to support decision-making.
  • Perform related projects and administrative duties as assigned.

Physical Requirements
Sit for extended periods; frequently stand and walk; manual dexterity and hand-eye coordination; corrected hearing and vision to normal range; verbal communication; use of office equipment including computer workstations, telephones, calculators, copiers, printers, and scanners with or without reasonable accommodation.
Working Conditions
Work is performed in an office environment.
Application Instructions
Please complete all fields of the employment application. Include your educational history in the "Educational Experience" section and any employment history in the "Employment Experience" section of our application.
Please include your address on application or Resume
Apply by: 8/31/2026

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About University Enterprises

Sourced by ZipRecruiter

As the nation’s leading university system, the CSU has pushed the boundaries of higher education for 60 years. We remain committed to delivering quality education, while fostering a culture of inclusion and understanding for our students and valued faculty and staff.

Industry

Colleges, universities, and professional schools

Company size

1,001 - 5,000 Employees

Headquarters location

Sacramento, CA, US