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Compensation Data Analytics Jobs in Florida (NOW HIRING)

... making compensation decisions including but not limited to skill sets; experience and training ... Using business intelligence tools and data analytics to generate meaningful insights tied to client ...

... making compensation decisions including but not limited to skill sets; experience and training ... Using business intelligence tools and data analytics to generate meaningful insights tied to client ...

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 ...

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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 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:
Sr. Analyst, RJF Risk Data & Analytics

Sr. Analyst, RJF Risk Data & Analytics

Raymond James Financial, Inc.

Saint Petersburg, FL • On-site

$81K - $102K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Job description

Job Description Summary
Develops conceptual, logical, and physical data models supporting an organization's structured data resources, including databases, data warehouses, and data marts.
Job Description
Job Summary:
Raymond James is seeking a Senior Analyst with strong analytical and communication skills to bridge the gap between Risk Management and technology. This role is critical in understanding front-line processes, designing data architecture, and collaborating with IT to implement solutions that integrate data across multiple departments. Under limited supervision, you will collaborate across departments, playing a key role in shaping the firm's risk information systems. This position requires exceptional analytical ability, attention to detail, and a deep understanding of financial operations and systems.
Please note: This role is not eligible for immigration Work Visa sponsorship, either currently or in the future.
Essential Duties and Responsibilities:
• Advance the business analysis function for Risk Management, ensuring that deliverables meet business needs, comply with enterprise standards, and adhere to regulatory expectations.
• Perform Quality Assurance and User Acceptance Testing to validate system functionality and data integrity.
• Act as the primary liaison between business stakeholders and IT delivery teams, translating business needs into clear, detailed requirements for systems that store and manage data.
• Identify opportunities for process optimization and automation within assigned workflows.
• Translate technical findings into clear, compelling narratives for stakeholders through presentations and executive summaries.
• Manage multiple priorities and deadlines using effective project management and time-tracking practices.
Knowledge of:
• Risk Management principles and practices, including market, credit, and liquidity risk.
• Agile methodologies and experience working in iterative design environments.
• Analytical tools and platforms: SQL, Excel, Tableau, QlikSense.
• Data preparation and cleansing best practices.
Skill in:
• Translating complex business objectives into detailed technical documentation.
• Extracting and manipulating data from source systems using SQL, Python, or other analysis tools.
• Reconciling and validating data from multiple sources to ensure IT solutions deliver required results.
• Communicating technical insights effectively through presentations and visual storytelling.
Ability to:
• Collaborate with business partners to understand their processes and translate them into requirements for data storage and transformation.
• Write technical documentation, requirements, and instructions, then break them into actionable steps.
• Adapt quickly to evolving needs and deliver concise, actionable insights under tight timelines.
• Work independently and prioritize and manage multiple tasks.
• Build and maintain productive relationships with internal and external stakeholders.
• Develop and justify data-driven recommendations that consider constraints and potential outcomes.
Education/Previous Experience:
• Bachelor's Degree and a minimum of three (3) years of relevant experience in financial services.
• OR
• Any equivalent combination of education, training and/or experience approved by Human Resources
Education
Bachelor's: Business Administration, Bachelor's: Computer and Information Science, Bachelor's: Finance
Work Experience
General Experience - 3 to 6 years
Certifications
Travel
Less than 25%
Workstyle
Hybrid
The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com.
At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.
We expect our associates at all levels to:
• Grow professionally and inspire others to do the same
• Work with and through others to achieve desired outcomes
• Make prompt, pragmatic choices and act with the client in mind
• Take ownership and hold themselves and others accountable for delivering results that matter
• Contribute to the continuous evolution of the firm
At Raymond James - as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.
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