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Compensation Data Analytics Jobs in Florida (NOW HIRING)

SENIOR COMPENSATION ANALYST

Deerfield Beach, FL · On-site

$79K - $103K/yr

Create dashboards, reports, metrics, data modeling and other analytics to support benchmarking, leveling, grading, budgets and other areas of compensation for the Polyglass business unit including ...

SENIOR COMPENSATION ANALYST

Deerfield Beach, FL · On-site

$79K - $103K/yr

Create dashboards, reports, metrics, data modeling and other analytics to support benchmarking, leveling, grading, budgets and other areas of compensation for the Polyglass business unit including ...

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 ...

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 ...

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 ...

Data Analyst

Miami, FL · On-site +1

$75K - $85K/yr

S.) Compensation : $75,000-$85,000 DOE annual base salary + 10% annual target bonus Visa ... Launch Your Analytics Career with World Fuel Are you passionate about data, technology, and problem ...

Data Analyst

Miami, FL · On-site +1

$75K - $85K/yr

S.) Compensation : $75,000-$85,000 DOE annual base salary + 10% annual target bonus Visa ... Launch Your Analytics Career with World Fuel Are you passionate about data, technology, and problem ...

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 ...

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 cities in Florida are hiring for Compensation Data Analytics jobs?

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

Lead Data Scientist - VP - Home Lending Data & Analytics

JP Morgan Chase

Jacksonville, FL • On-site

Full-time

Medical, Retirement

Re-posted 14 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


Job description

As a valued member of our Home Lending Data & Analytics Applied AI/ML team, you will be at the forefront of our firm-wide initiatives to innovate and enhance Data & Analytics functions through model development. Your contributions will be instrumental in transforming the processes and tools for modeling, analytics, and data.

As an Lead Data Scientist within our Home Lending Data & Analytics team, you will work in close coordination with various teams in Data & Analytics, including Data Owners, Reporting, and Analysis. Your role will involve designing and implementing AI-powered solutions that boost operational efficiency, improve employee experience, and automate processes through agentic designs. Leveraging your expertise in artificial intelligence and data analytics, you will develop state-of-the-art applications that simplify processes and yield tangible business outcomes. Your valuable contributions will play a pivotal role in transforming our way of working, ensuring we remain at the cutting edge of the industry.

Job Responsibilities:

  • Designing and developing advanced AI/ML models, agentic systems, and generative AI solutions to solve complex problems. 
  • Write and deliver high-quality code for AI-driven Home Lending Data & Analytics initiatives, ensuring robust and efficient solutions that meet business objectives
  • Work closely with Data Owners, Reporting, and Analytics teams to address and solve complex problems including AI, ML, and advanced analytics, with a focus on generative AI technologies and agentic system design
  • Deploy and scale AI models to production environments, ensuring robustness, reliability, security, and compliance
  • Fine-tune AI models for optimal performance and efficiency, addressing any issues that arise
  • Work closely with data scientists, software engineers, and product teams to integrate AI solutions into existing systems and workflows
  • Own and manage the entire code lifecycle, from development through production deployment and ongoing maintenance, adhering to best practices 
  • Develop and maintain comprehensive technical documentation for all AI solutions, ensuring clarity, accuracy, and accessibility for both technical and non-technical stakeholders
  • Continuously monitor AI performance, making necessary adjustments to maintain and improve accuracy and efficiency
  • Engage with stakeholders to develop, demonstrate, and iterate on deliverables, ensuring alignment with analyst needs and regulatory requirement

Required qualifications, capabilities, and Skills:

  • 7+ years of work experience.
  • Masters degree in a quantitative field such as Data Science, Computer Science, Engineering, Math, Physics, etc
  • Proven track record of delivering projects in the AI/ML and data analytics space
  • Proficiency in Python.
  • Experience with building Agentic systems, RAG systems, and foundation LLMs (e.g., GPT-5, Claude).
  • Strong understanding of software engineering principles and practices, including version control, testing, and code optimization
  • Technical documentation experience preferred.


Preferred qualifications, capabilities and skills:

  • Experience with AWS Cloud Platform and Databricks for deploying and managing machine learning models preferred.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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