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Compensation Data Analytics Jobs in Louisiana (NOW HIRING)

Bachelor's degree in business, finance, healthcare administration, criminal justice, data analytics ... Compensation & Total Rewards * The anticipated base salary range for this position is $95,000-$115 ...

Our stable work environment is further enhanced by our generous compensation and benefits package ... Requirements: * Bachelor's degree in Finance, Accounting, Computer science or Data Analytics.

Our stable work environment is further enhanced by our generous compensation and benefits package ... Requirements: * Bachelor's degree in Finance, Accounting, Computer science or Data Analytics.

Regulatory Case Manager

Shreveport, LA · On-site

$116K - $177K/yr

... by providing data, analysis, and recommendations, as necessary. * Provide, as authorized ... SP20-009 Compensation Range: $116,255.00 - $177,503.00 The Physical Demand Level for this job is: S ...

AI Engineer

New Orleans, LA · On-site

$50K - $112K/yr

... data analysis techniques to discern patterns and trends - Collaborating with team members to ... Actual compensation within the range will be dependent upon the individual's skills, experience ...

Data Engineer

Lafayette, LA · On-site

$109K - $131K/yr

... into downstream analytics and reporting environments. The successful candidate will own the ... Compensation decisions are dependent on the facts and circumstances of each case. A reasonable ...

Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions ... Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data ...

Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions ... Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data ...

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 ...

Showing results 41-60

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 Louisiana?

For Compensation Data Analytics jobs in Louisiana, the most frequently searched job titles are:

Business Analyst

RedSail Technologies, LLC

Shreveport, LA • On-site, Remote

Full-time

Posted 16 days ago


Job description

Business Analyst (RAS)Job Summary

The Business Analyst (RAS) is responsible for protecting the integrity of RedSail's products, services, and customer ecosystem by monitoring account activity, conducting account reviews, and analyzing operational data to identify potential risks, unusual activity, and opportunities to strengthen business controls. The role reviews information from the RAS/PowerLine environment and, when appropriate, validates activity within the Pharmacy Management System (PMS) to identify patterns, support business decisions, and recommend corrective actions. This position operates under general supervision with latitude for independent judgment and is expected to manage sensitive information with a high degree of discretion, professionalism, and accuracy. This role helps ensure the secure, compliant, and appropriate use of RedSail's products and services while supporting a fair, consistent, and positive customer experience.

Key Duties
  • Review account activity when unusual or potentially non-compliant activity is identified, including researching anomalies, evaluating transactional patterns, and documenting findings.
  • Conduct proactive reviews of randomly selected accounts to help ensure appropriate use of RedSail products and services and to identify emerging operational and business risks.
  • Analyze and compare data from RAS/PowerLine and other internal systems to identify inconsistencies, unusual activity, and account integrity indicators.
  • Review data directly within the PMS for specific cases to validate activity, confirm details, and support account reviews and investigations.
  • Document account reviews, investigation outcomes, trends, and recommendations clearly and accurately for leadership and cross-functional partners.
  • Collaborate with internal teams to escalate findings, recommend corrective actions, strengthen internal controls, and support account integrity initiatives through investigation outcomes and policy recommendations.
  • Lead assigned reviews and projects and ensure timely completion of routine and complex investigative assignments.
Education/Training
  • Bachelor’s degree in business, finance, healthcare administration, criminal justice, data analytics, or a related discipline is required.
  • Requires 3-5 years of experience in the pharmacy industry.
Required Work Experience/Skills
  • Working knowledge of pharmacy workflows, customer account activity, and pharmacy management systems.
  • Ability to review and interpret data across RAS/PowerLine and PMS environments to identify suspicious activity, inconsistencies, and trends.
  • Strong analytical, investigative, and problem-solving skills with exceptional attention to detail.
  • Effective and professional communication skills with the ability to document findings and present information clearly to technical and non-technical audiences.
  • Excellent interpersonal and organizational skills, with the ability to self-manage and work in a cooperative team environment.
  • Ability to manage multiple assignments, maintain confidentiality, and exercise sound judgment when handling sensitive information.
  • Proficiency in Microsoft Office Suite and comfort working with system-generated reports, data extracts, and audit documentation.
Preferred Work Experience/Skills
  • Experience with fraud detection, audit review, compliance monitoring, or risk analysis in a pharmacy, healthcare, or related business environment.
  • Experience working with RAS, PowerLine, PMS platforms, or similar pharmacy-related systems is preferred.
Discretionary Judgment
  • Uses independent judgment and discretion based upon the employee’s experience in the position and knowledge of the products, equipment, and services, including determining the scope and direction of fraud investigations, evaluating whether account activity constitutes potential fraud, recommending corrective actions and account restrictions, and deciding how to prioritize and allocate investigative resources across competing assignments.
  • Uses good judgment and possesses ethical work values.
Physical Demands, Working Conditions, and General Employment Guidelines
  • Moderate levels of stress may be experienced in the performance of the job.
  • Position is performed in a general office environment, home office, or approved remote workspace where physical work includes, but is not limited to, sitting, standing, reaching, kneeling, bending, and lifting to 25 lbs.
  • Travel may be required at times.
Equipment
  • Daily use of Microsoft Teams (messaging, calling, video), computer, and other routine office equipment.
  • Must have internet access.
Safety to Self and Others
  • Little responsibility for the safety of others. The job is performed in an office setting where there are no hazardous materials or equipment.
Working Conditions/Hazards
  • Position is performed in an open office environment or approved remote work location.
Compensation & Total Rewards
  • The anticipated base salary range for this position is $95,000-$115,000 annually. This position is also eligible for an annual target bonus of 4%. Actual compensation will be determined based on factors including relevant experience, skills, qualifications, and geographic location.
  • Benefits include paid time off, medical, dental, and vision insurance, a 401(k) with a 5% company match, a fitness bonus, professional development opportunities, and programs that support overall well-being.

Work Location
  • Hybrid at a RedSail Office
    • Spartanburg, SC
    • Irving, TX
    • Shreveport, LA
    • Oak Brook, IL
    • Cranberry Township, PA
    • Long Island, NY