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Compensation Data Analytics Jobs in Florida (NOW HIRING)

Career Service Position Number: 48001093 Salary: $60,000 - $65,000 Posting Closing Date: 10/22/2026 Total Compensation Estimator Tool Data Analyst, Office of Data & Analytics (01093) The Florida ...

Within our Data, Analytics & AI Managed Services practice, you will develop and implement ... Actual compensation within the range will be dependent upon the individual's skills, experience ...

Career Service Position Number: 48001093 Salary: $60,000 - $65,000 Posting Closing Date: 10/22/2026 Total Compensation Estimator Tool Data Analyst, Office of Data & Analytics (01093) The Florida ...

Within our Data, Analytics & AI Managed Services practice, you will develop and implement ... Actual compensation within the range will be dependent upon the individual's skills, experience ...

Serve as the primary compensation consultant to the Talent Acquisition team, providing offer guidance, comp analysis, and real-time market data to support competitive, equitable offers across all ...

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Compensation Analyst

Boynton Beach, FL · On-site

$70K - $92K/yr

We are seeking a detail-oriented, data-driven Compensation Analyst to evaluate, structure, and benchmark our total rewards programs to keep our workforce competitive and equitably rewarded. Key ...

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.

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 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 are popular job titles related to Compensation Data Analytics jobs in Florida?

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

What job categories do people searching Compensation Data Analytics jobs in Florida look for?

The top searched job categories for Compensation Data Analytics jobs in Florida are:

What cities in Florida are hiring for Compensation Data Analytics jobs?

Cities in Florida with the most Compensation Data Analytics job openings:

Senior People Analytics Specialist

Jacksonville, FL • On-site

Moran Towing Corporation
Transportation and Warehousing • 201 - 500 employees

$83K - $92K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Moran Towing rating

6.8

Company rating: 6.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Description
Position Summary
The Senior People Analytics Specialist is a hands-on technical expert responsible for designing, building, and scaling Moran's workforce intelligence and people analytics capabilities. Reporting directly to the VP of Total Rewards & People Analytics, this role transforms complex HR data into actionable, executive-ready insights.
The ideal candidate is a data storyteller and technical problem-solver who will build the foundational reporting infrastructure, establish data governance, and run predictive analytics to support talent retention, compensation strategy, workforce planning, and organizational effectiveness across our organization.
Specific Responsibilities include, but are not limited, to:
Data Infrastructure and Dashboard Development
  • Design, build, and maintain robust, automated executive dashboards and reporting suites tracking core workforce metrics.
  • Establish clean, reliable data pipelines by partnering with HRIS to ensure data integrity.
  • Define and standardize consistent metrics, definitions, and data governance standards across the organization.

Workforce Intelligence and Predictive Modeling
  • Conduct deep-dive analyses and predictive modeling on flight-risk factors, talent retention, and labor cost trends to support strategic decision-making.
  • Partner with Finance and HR leadership to model workforce costs, organizational restructures, and compensation budget cycles.
  • Translate complex datasets into clear, compelling visual narratives and presentations for executive leadership and business partners.

Operational Reporting and Insights
  • Manage ad-hoc data requests and deep-dive analytical inquiries.
  • Support annual compensation and merit planning cycles by providing equity analysis and budget modeling support.
  • Continuously audit data hygiene, identifying and resolving discrepancies to ensure high-confidence reporting.

Compliance, Governance, and Confidentiality
  • Ensure strict data privacy, security, and confidentiality controls are maintained across all employee records and analytics models.
  • Support workforce-related regulatory reporting, pay equity analysis, and audit support.

Required Qualifications
  • Bachelor's degree in Data Science, Statistics, Human Resources, Business Analytics, or a related quantitative field.
  • 4+ years of specialized experience in people analytics, workforce planning, or HR data analysis; experience in construction or maritime industries preferred.
  • Advanced technical proficiency in data visualization and reporting tools (e.g., Tableau, Power BI) and HRIS reporting modules (UKG Pro or similar).
  • Strong proficiency in data manipulation and querying (SQL, advanced Excel/VBA, or R/Python preferred); experience with Python preferred.
  • Demonstrated ability to translate technical data outputs into clear, strategic business recommendations for non-technical stakeholders.
  • Exceptional attention to detail, data accuracy, and adherence to strict confidentiality standards.

Working Conditions
  • Ability and willingness to work in Jacksonville, FL or New Canaan, CT office 3 days a week.

This job description does not cover or contain a complete list of responsibilities or activities. Responsibilities and activities may change, or other responsibilities and activities may be assigned at any time with or without notice.
In Return, We Offer:
  • Competitive compensation
  • Career development opportunities
  • Team-oriented work environment
  • Medical, Dental, and Vision Insurance
  • Health Care Flexible Spending Account (FSA)
  • Company paid Life, AD&D, and Long-Term Disability Insurance Plans
  • Employee Assistance, Health Advocate, and Wellness Programs
  • Generous 401(k) Plan with employer non-elective, matching, and discretionary contributions
  • Company paid Financial Advice Program
  • Tuition Reimbursement Program
  • Paid Vacation based on years of service

PAY TRANSPARENCY:
Moran Towing Corporation offers generous benefits, opportunities for professional growth, and competitive salaries based on geographic location. Our target pay range for the Senior People Analytics Specialist position is $83,000 - $92,000 per year. This pay range represents Moran's commitment to pay transparency and is a reasonable estimate of possible compensation for this role at the time of posting. The final salary for this role will be determined based on careful consideration of a variety of factors, such as the candidate's exact location, experience, and expertise related to the qualifications.
Moran Towing Corporation is an Equal Opportunity Employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, color, national origin, religion, gender, age, disability, veteran status, genetic data, or other legally protected status.

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