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Compensation Data Analytics Jobs in Mississippi (NOW HIRING)

Reli Group Inc

$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 ...

Reli Group Inc

$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 ...

Reli Group Inc

Power BI Intern

Gulfport, 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 ...

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 ...

Reli Group Inc

Power BI Intern

Southaven, 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 ...

Reli Group Inc

Power BI Intern

Biloxi, 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 ...

University of Mississippi

Applied Demographer

Oxford, MS · On-site

$51K - $77K/yr

In this capacity, CPS distributes data, provides instruction on data analysis, and serves as the ... Relevant experience| 3 Years| Required Compensation: $51,604.80 - $77,396.80 Interview Requirement:

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 ...

Aperia Technologies

Solutions Engineer, Remote

Meridian, 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 ...

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

Power BI Intern

Reli Group Inc

$15/hr

Full-time, Internship

Posted 27 days ago

Job description

Description

At RELI Group, our work is grounded in purpose. We partner with government agencies to solve complex challenges, improve public health, strengthen national security, and make government services more effective and efficient. Our team of over 500 professionals brings deep expertise and a shared commitment to delivering meaningful outcomes. Behind every solution is a group of experts who care deeply about impact—whether we’re supporting data-driven decisions, modernizing systems or safeguarding critical programs.

Position Summary:

We are seeking a detail-oriented and analytical Power BI Intern to join our team. The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports that provide key business insights to internal stakeholders. This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving.

Responsibilities
  • Assist in designing and developing interactive Power BI dashboards and reports.
  • Clean, transform, and analyze large datasets from various sources (Excel, SQL, SharePoint, etc.).
  • Collaborate with team members and business units to gather requirements and deliver visualizations that drive decision-making.
  • Perform data validation and troubleshooting on existing reports.
  • Document processes and contribute to best practices in dashboard design and data governance.
Qualifications
  • Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics, Information Systems, Business, or related field.
  • Basic experience or coursework with Power BI, including DAX and Power Query.
  • Familiarity with Excel and basic SQL.
  • Strong attention to detail and problem-solving skills.
  • Good communication and collaboration skills.
  • Exposure to other data visualization tools (e.g., Tableau) preferred
  • Experience with Microsoft Azure or SharePoint preferred
  • Knowledge of statistical analysis or data modeling preferred
  • *MUST reside in a HUBZone. Please check your eligibility on HUBZone Map (sba.gov).

EEO Employer:

RELI Group is an Equal Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, or any other basis protected by law, ordinance, or regulation.

HUBZone:

We encourage all candidates who live in a HUBZone to apply. You can check to see if you address is located in a HUBZone by accessing the  SBA HUBZone Map .

The hourly rate for this position is $15 per hour. Actual compensation will depend on a range of factors, including but not limited to the individual’s skills, experience, qualifications, certifications, location, other business and organizational needs, and applicable employment laws. The estimate displayed represents the typical salary range for this position and is just one component of the total compensation package for employees. RELI Group provides a variety of additional benefits to its employees. For additional details on the benefits that RELI Group offers click  here .

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