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Compensation Data Analytics Jobs in Mississippi (NOW HIRING)

Bachelor\'s Degree in Computer Science, Information Systems, Data Analytics, or related field ... Great compensation package and bonus plan * Core benefits including medical, dental, vision, and ...

We offer competitive compensation and an extraordinary benefits package including health, dental ... Process and analyze large-scale geospatial datasets * Create data visualization and reporting ...

Conduct market benchmarking, utilize survey data, and analytics to ensure competitive pay rates ... Maintain compensation systems and reporting tools to support data-driven insights. * Partner with ...

Conduct market benchmarking, utilize survey data, and analytics to ensure competitive pay rates ... Maintain compensation systems and reporting tools to support data-driven insights. * Partner with ...

Conduct market benchmarking, utilize survey data, and analytics to ensure competitive pay rates ... Maintain compensation systems and reporting tools to support data-driven insights. * Partner with ...

Data Analysis Tutor

Starkville, MS · Remote

$18 - $40/hr

Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions ... analytics positions, and data-driven decision-making responsibilities. * Conceptual Teaching ...

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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 are popular job titles related to Compensation Data Analytics jobs in Mississippi? For Compensation Data Analytics jobs in Mississippi, the most frequently searched job titles are:
What cities in Mississippi are hiring for Compensation Data Analytics jobs? Cities in Mississippi with the most Compensation Data Analytics job openings:

Data Analytics and Compliance Specialist - CRSC

University of Mississippi

Oxford, MS • On-site

$62K - $93K/yr

Full-time

Posted 10 days ago


University Of Mississippi rating

7.9

Company rating: 7.9 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

205th of 614 rated colleges and universities


Job description

The University of Mississippi - fondly referred to as Ole Miss - stands as a premier public research institution with a proud legacy of academic distinction. We are devoted to nurturing a vibrant, inclusive community where every member - student, faculty, and staff - can achieve their fullest potential.

Join the Ole Miss Family - Build Your Legacy Here!

Department:

Conflict Resolution & Student Conduct

Job Summary:

Provide routine analysis of data using basic statistical techniques to discover trends/patterns that can be leveraged to meet business needs.

Job Description:

  • Collects and prepares basic to moderately complex data sets to be utilized in various assessment scenarios.
  • Analyzes and models data to identify trends, test hypotheses, formulate recommendations, and answer questions.
  • Composes and assembles reports based on the analysis of data to clearly articulate results and findings.

Job Responsibilities:

  • Liaison for Software Platforms(i.e. Maxient and RealResponse)
  • Data Analytics and Reporting
  • Compliance and Accountability
  • Operational and Program Support
  • Future-Proofing Technology Utilization

Education Qualifications:

Bachelor's (Required)

Experience:

Relevant experience| 3 Years| Required

Compensation:

$62,441.60 - $93,641.60

Interview Requirement:

Interview Requirements: Any candidate who is called for an interview must notify the Department of Equal Opportunity/Regulatory Compliance in writing of any reasonable accommodation needed prior to the date of the interview.

EEO Statement:

The University of Mississippi provides equal opportunity in any employment practice, education program, or education activity to all qualified persons. The University complies with all applicable laws regarding equal opportunity and does not unlawfully discriminate against any employee or applicant for employment based upon race, color, gender, sex, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ethnicity, citizenship, age, disability, military status, protected veteran status, genetic information, or any other legally protected status.

Background Check Statement:

The University of Mississippi is committed to providing a safe campus community. UM conducts background investigations for applicants being considered for employment. Background investigations include a criminal history record check, and when appropriate, a financial (credit) report or driving history check.


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