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Compensation Data Analytics Jobs in Clinton, MS (NOW HIRING)

Experian

Senior Data Analyst - Remote

Madison, MS · Remote

$89K - $155K/yr

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 ...

State of Mississippi

Data Analyst II

Jackson, MS · On-site

$60K - $70K/yr

The Data Analyst II is an advanced applications support position with duties that include but not ... More information can be found at Deferred Compensation. State Credit Union All state employees are ...

Ergon, Inc

Compensation Manager

Flowood, MS

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 ...

Ergon, Inc

Compensation Manager

Flowood, MS · On-site

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 ...

Ergon, Inc

Compensation Manager

Flowood, MS · On-site

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 ...

Reli Group Inc

Power BI Intern

Jackson, MS · On-site

$15/hr

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Actual compensation will depend on a range of factors, including but not limited to the individual ...

Aperia Technologies

Solutions Engineer, Remote

Jackson, MS · On-site

$120K - $140K/yr

Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical ... Additional compensation may include equity, bonuses, stipends, medical, dental, vision, 401(k), and ...

Surge Staffing

Assistant Accounting Manager

Pearl, MS · On-site

Data Analytics & Reporting * Develop KPI reporting and performance dashboards. * Perform large ... Benefits * Competitive compensation * 401(k) with company match * Medical, Dental, and Vision ...

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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?

The highest paying roles in data analytics typically include Data Science Directors, Chief Data Officers, and Analytics Executives, with salaries often exceeding $150,000 annually. These positions require advanced skills in statistical analysis, machine learning, and leadership, and are usually found in large corporations or tech companies.

What jobs make $1,000,000 a year?

In compensation data analytics, roles such as chief data officer, senior data scientist, or executive-level positions in finance and technology can reach or exceed $1 million annually, often through base salary, bonuses, and stock options. These high earnings typically require extensive experience, advanced skills in data modeling and analytics tools, and leadership responsibilities. Such compensation is more common in large corporations or successful startups with significant revenue and growth potential.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment a data analyst's work, it is unlikely to fully replace the role in the near future.

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 jobs pay 500,000 a year in the US?

In compensation data analytics, senior roles such as Chief Compensation Officer or Compensation Director can reach or exceed $500,000 annually, especially in large corporations or industries with high compensation packages. These positions often require extensive experience, advanced certifications, and expertise in data analysis, market trends, and compensation strategy.
What cities near Clinton, MS are hiring for Compensation Data Analytics jobs? Cities near Clinton, MS with the most Compensation Data Analytics job openings:
Compensation Data Analytics jobs near you

Senior Data Analyst - Remote

Experian

Madison, MS • Remote

$89K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago

Job description

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

The Senior Data Analyst will help shape the future of employer services, with a focus on HR compliance and outsourcing. You will help develop and implement data-driven solutions that ensure strategic decision-making and drive business growth. We are looking for an experienced and motivated Senior Data Analyst with technical expertise, business insight, and a proactive mindset to solving problems. The Senior Data Analyst will manage various projects, work cross-functionally, and drive results in a dynamic environment.

What you\'ll be doing:

  • Execute tasks assigned through the Data Services ticketing system, ensuring Service level agreement adherence and process compliance.
  • Follow established processes to ensure consistent execution across tasks.
  • Mentor team members on best practices, prioritization, and issue resolution.
  • Review peer deliverables for accuracy, performance, and adherence to data governance standards before production deployment.
  • Support data mapping, customer account data gathering, and technical documentation for integrations
  • Troubleshoot and prioritize data issues flagged by client-facing teams by analyzing end-to-end data flows across multiple products.
  • Influence strategies related to system upgrades, account migrations, data ingestion, and API/connectors
  • Provide occasional weekend support for software upgrades, database patching, and regression testing.
  • You will report to the Manager of Data Services
Qualifications
  • Minimum 6 years of experience in database and application development.
  • Bachelor\'s Degree in Computer Science, Information Systems, Data Analytics, or related field.
  • Advanced proficiency in SQL, with a focus on performance optimization.
  • Experience troubleshooting SSIS packages.
  • Experience in data visualization and reporting using tools like Power BI.
  • Hands-on experience with Microsoft SQL Server.
  • Experience with data modeling principles.
  • Proficiency in scripting languages such as Python or PowerShell.
  • Experience collaborating across cross-functional teams
  • Experience developing data solutions
Additional Information

Benefits/Perks:

  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
  • Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html

At Experian, our people and culture set us apart. We\'re deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World\'s Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others.

Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

#LI-Remote

  • Employee Status: Regular
  • Role Type: Home
  • Job Posting - Salary Range: $89,865 - $155,767
  • Department: Analytics
  • Flexible Time Off: 15 Days
  • Schedule: Full Time
  • Shift: Day Shift

    • Apply