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Commission Data Analyst Jobs in Florida (NOW HIRING)

Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

Summary: The Data Engineer supports operations and conducts data analytics projects to provide ... This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity ...

Payroll & Commission Accounting · Review and validate commission data generated by the company ... Excellent analytical and problem-solving skills. * Ability to work independently and as part of a ...

Staff Accountant

Boca Raton, FL · On-site

$55 - $70/hr

Payroll & Commission Accounting · Review and validate commission data generated by the company ... Excellent analytical and problem-solving skills.Ability to work independently and as part of a team.

ETD Data Migration: Drive end-to-end ETD data migration activities on complex financial services ... Commission (CFTC), and Markets in Financial Instruments Directive II (MiFID II). ETD Clearing ...

Showing results 21-40

Commission Data Analyst information

See Florida salary details

$11

$31

$53

How much do commission data analyst jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for commission data analyst in Florida is $31.39, according to ZipRecruiter salary data. Most workers in this role earn between $22.64 and $38.03 per hour, depending on experience, location, and employer.

What is a commission data analyst?

Commission Data Analysts are professionals who specialize in managing, analyzing, and interpreting commission-related data for organizations. They ensure accurate calculation and reporting of commissions by collecting sales data, identifying discrepancies, and providing insights to improve compensation processes. These analysts often collaborate with sales, finance, and HR teams to implement commission structures, generate reports, and support decision-making. Their work helps maintain transparency and fairness in commission payments, ultimately supporting employee motivation and business goals.

What are the key skills and qualifications needed to thrive as a commission data analyst, and why are they important?

To excel as a Commission Data Analyst, you need strong analytical skills, advanced proficiency in Excel, and a background in finance, accounting, or data analysis. Familiarity with commission management software, CRM systems like Salesforce, and SQL for database querying is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills in this role. These competencies ensure accurate commission calculations, clear reporting, and seamless collaboration with sales and finance teams.

What are some common challenges faced by commission data analysts, and how can they be addressed?

Commission Data Analysts often encounter challenges related to data accuracy, integrating information from multiple sources, and handling complex commission structures. Ensuring timely and error-free calculations requires attention to detail and strong analytical skills. Collaborating closely with sales, finance, and IT teams can help clarify requirements and resolve discrepancies quickly. To address these challenges, it's important to establish clear data validation processes and maintain open communication channels with relevant stakeholders.

What is the difference between Commission Data Analyst vs Sales Data Analyst?

AspectCommission Data AnalystSales Data Analyst
Required CredentialsBachelor's in Data Analysis, Business, or related field; proficiency in SQL, Excel, and data visualization toolsBachelor's in Business, Marketing, or related; strong analytical skills, proficiency in CRM and sales software
Work EnvironmentCorporate offices, finance, or sales departments; focus on commission structures and payout analysisSales teams, marketing departments; focus on sales performance and market trends
Employer & Industry UsageFinancial services, real estate, insurance, sales organizationsRetail, technology, manufacturing, and sales-driven industries

The main difference between a Commission Data Analyst and a Sales Data Analyst lies in their focus areas. Commission Data Analysts primarily analyze commission structures and payout data, while Sales Data Analysts focus on overall sales performance and market trends. Both roles require strong analytical skills and familiarity with data tools, but their specific responsibilities and industry applications differ slightly.

What are the most commonly searched types of Data Analyst jobs in Florida?

The most popular types of Data Analyst jobs in Florida are:

What cities in Florida are hiring for Commission Data Analyst jobs?

Cities in Florida with the most Commission Data Analyst job openings:

Infographic showing various Commission Data Analyst job openings in Florida as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $65,284 per year, or $31.4 per hour.

Senior Data Solutions Analyst: Operational Data & Reporting team

Liberty Mutual

Orlando, FL • On-site, Remote

$80K - $101K/yr

Full-time

Re-posted 15 days ago


Key responsibilities

  • Design and develop scalable data solutions that enable effective self-service data consumption and describe their value to the customer.

  • Independently prototype and develop data solutions, including coding proof-of-concept solutions to meet organizational and business needs.

  • Optimize and tune data infrastructure for performance, scalability, reliability, and cost-efficiency.


Liberty Mutual rating

8.7

Company rating: 8.7 out of 10

Based on 162 frontline employees who took The Breakroom Quiz

72nd of 315 rated insurance


Job description

Description

Ensuring that data is a competitive differentiator for our enterprise, the USRM Data Office sets strategic data product visions, governs data for quality and compliance, develops best in class data and reporting solutions, and continuously seeks to optimize the value that data creates for our customers and company. Our team includes data analysts, data stewards, data strategists, and data product owners - performance-driven individuals who make sure that data is appropriately leveraged across every layer of our business.

The Operational Data & Reporting team within USRM Data Office is seeking a Senior Data Solutions Analyst focusing on scalable data & reporting solutions and insights for a range of stakeholders within our Direct Distribution and Partnerships reporting team.

This position may have in-office requirements dependent upon candidate location

Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote.

Responsibilities:

  • Design and develop scalable data solutions with a focus on reusability that enable effective self-service data consumption and can describe their value to the customer.
  • Independently works on prototyping/developing data solutions that meet the needs of the organization and business customers. Coding scalable proof-of-concepts and solutions.
  • Stay up to date with advancements in data engineering, evaluate new tools and recommend adoption where appropriate.
  • Identify opportunities to apply Gen AI for data discovery, lineage summarization, automated documentation, query generation and developer productivity (prompt engineering and code generation)
  • Designs proof-of-concept solutions utilizing and advanced understanding of multiple coding languages to meet technical and business requirements with an ability to perform iterative solution testing to ensure specifications are met.
  • Strive to become a technical leader and mentor for the team, providing assistance & guidance to junior team members
  • Optimize and tune data infrastructure for performance, scalability, reliability and cost-efficiency
  • Prioritizes efforts based on customer value and can set expectations for deliverables of high complexity.
  • Ensure data solutions include activities and deliverables required to achieve high data quality and displays a strong understanding of complex, multi-tier, multi-platform systems, applying principles of metadata, lineage, business definitions, compliance and data security to project work.

The ideal candidate will:

  • Have strong technical aptitude with data manipulation, data wrangling and Reporting tools (SQL, Power Bi, SAS, Python cloud computing: AWS and Snowflake).
  • Demonstrate 3+ years of experience building production data pipelines, data solutions and Power Bi Dashboards.
  • Possess hands-on experience with data quality testing frameworks and practices,and experience implementing automated data tests and validation.
  • Have excellent communication skills and the ability to work with technical and non-technical stakeholders.
  • 3-5+ years' experience in coding for data management, data warehousing, or other data environments, including, but not limited to, ETL & scripting languages (Python)
  • 3-5+ years' experience with top quadrant Business Intelligence tools. Demonstrated technical knowledge and skills in coding languages and business intelligence tools (e.g., SQL, Power BI SAS, Python) and interest in expanding knowledge in this space.
  • Must possess strong analytical, strategic, project management, decision-making and problem-solving skills.
  • Direct Distribution domain knowledge preferred but not required.
  • Demonstrates a comprehensive understanding of new technologies as needed to progress initiative and ability to adapt
  • Able to describe value and support the prioritization of data solutions.
  • Able to organize and address customer pain points.
Qualifications
  • Strong written and oral communication skills required
  • Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred
  • Master`s in same or related disciplines strongly preferred
  • 3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in NoSQL implementation, ETL, Java, scripting languages (Python, Perl, Shell), and the Hadoop stack
About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefitsLiberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.Fair Chance Notices

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco
Employment Type: FULL_TIME

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About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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