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Data Modeler Contract Jobs in Florida (NOW HIRING)

Understanding of data modeling, reporting structures, and data governance practices * Advanced ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

New

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

... CD, model as a service, and reproducible environments * Help define and evolve the architecture of our data platform as a true internal service with clear contracts, SLAs, and versioned APIs ...

Data Platform Engineer

Miami, FL · On-site +1

$109K - $131K/yr

... CD, model as a service, and reproducible environments * Help define and evolve the architecture of our data platform as a true internal service with clear contracts, SLAs, and versioned APIs ...

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

... CD, model as a service, and reproducible environments * Help define and evolve the architecture of our data platform as a true internal service with clear contracts, SLAs, and versioned APIs ...

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

... CD, model as a service, and reproducible environments * Help define and evolve the architecture of our data platform as a true internal service with clear contracts, SLAs, and versioned APIs ...

Contract Work Model: Hybrid - onsite and remote Responsibilities • Contribute to the development of technical requirements including data definitions, business rules, and data quality requirements ...

Data Scientist Location: Orlando, FL - hybrid - 3 days onsite Duration: 3-6+ month contract ... Develop, enhance, and optimize statistical and machine learning models to improve accuracy and ...

Showing results 41-60

Data Modeler Contract information

What are some typical challenges that contract data modelers might face when joining a new organization?

Contract Data Modelers often encounter the challenge of quickly understanding existing data architectures and business requirements within a limited timeframe. They must adapt to varying documentation standards, legacy systems, and sometimes incomplete data sources. Collaborating effectively with permanent team members such as database administrators, business analysts, and developers is crucial for aligning the data models with organizational goals. Strong communication and rapid learning skills can help overcome these hurdles and ensure successful project delivery.

What is a data modeler contract?

A Data Modeler Contract position involves working on a temporary or project-based basis to design, implement, and maintain data models that organize and structure data for efficient storage, retrieval, and analysis. Data modelers work closely with stakeholders to understand business requirements and translate them into logical and physical data models, often using tools like ERwin or IBM InfoSphere. As contractors, they may be hired for specific projects and are expected to deliver high-quality data modeling solutions within set timelines.

What are the key skills and qualifications needed to thrive as a data modeler contract?

To thrive as a Data Modeler on a contract basis, you need expertise in database design, data analysis, and data modeling concepts, often supported by a degree in computer science or a related field. Proficiency with tools such as ERwin, IBM InfoSphere Data Architect, or SQL-based systems, as well as familiarity with data warehousing and ETL processes, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret business requirements and collaborate with stakeholders. These skills ensure the creation of robust, scalable data models that support organizational goals and efficient data management.

What is the difference between Data Modeler Contract vs Data Analyst?

AspectData Modeler ContractData Analyst
Required CredentialsBachelor's in Computer Science, Data Management, or related field; certifications like CDMPBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Data Analyst
Work EnvironmentProject-based, contract roles in IT or data teamsOngoing, full-time roles in various industries
Employer & Industry UsageTech companies, consulting firms, finance, healthcareBusiness, marketing, finance, healthcare sectors

While both roles involve working with data, a Data Modeler Contract focuses on designing and creating data structures and models, often on a temporary basis. In contrast, a Data Analyst interprets data to provide insights and support decision-making in a more permanent role. Understanding these differences helps in choosing the right career path or job opportunity.

What are the most commonly searched types of Data Modeler jobs in Florida? The most popular types of Data Modeler jobs in Florida are:
What are popular job titles related to Data Modeler Contract jobs in Florida? For Data Modeler Contract jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Modeler Contract jobs in Florida look for? The top searched job categories for Data Modeler Contract jobs in Florida are:
What cities in Florida are hiring for Data Modeler Contract jobs? Cities in Florida with the most Data Modeler Contract job openings:
Infographic showing various Data Modeler Contract job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Business Analyst - Retail Data Products

Brown & Brown Insurance

Daytona Beach, FL • On-site

$82K - $104K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.

Brown & Brown is seeking aSenior Business Analyst - Retail Data Products to join our growing team in Atlanta, GA, Dallas, TX, or Daytona Beach, FL.

This role will support the design, delivery, governance, and quality of enterprise data products and analytics solutions. This role bridges business and technology, translating requirements into scalable data solutions while ensuring high data quality, trusted KPIs, and governed, self-service analytics. The analyst will partner closely with Data Product Leads, Data Engineering, business stakeholders, and third-party partners, playing a critical role in enabling data-driven decision-making across the enterprise.

How You Will Contribute:

Requirements & Data Product Delivery

Partner with stakeholders to elicit, document, and prioritize data and analytics requirements

Translate business needs into:

  • User stories

  • Data definitions and mappings

  • Acceptance criteria

Support design and delivery of:

  • Data pipelines

  • Curated datasets

  • Data products

Participate in Agile delivery processes (backlog grooming, sprint planning, prioritization)

Act as the voice of the customer for data teams

Data Analysis & Validation

Perform hands-on data analysis using SQL

Validate and reconcile data across systems

Conduct root-cause analysis for data issues and discrepancies

Support ad hoc analysis, KPI validation, and business insights

Deliver analytics for operational, financial, and strategic decision-making

Data Quality & Governance

Own and enforce data quality standards and governance frameworks

Define and monitor:

  • Data quality rules and KPIs

  • Data SLAs and controls

Maintain:

  • Data dictionaries

  • KPI catalog

  • Business glossaries

  • Lineage documentation

Lead governance processes include:

  • Data stewardship workflows

  • Issue intake, triage, and resolution

  • Governance forums and audits

Ensure compliance with regulatory and data policies

Testing, Release & SDLC Execution

Develop and execute:

  • Test plans

  • UAT and regression testing

  • Data reconciliation processes

Validate datasets, transformations, and reporting outputs before release

Support release management and documentation

Ensure adherence to a governed SDLC

Data Platform & Partner Oversight

Collaborate with data engineering teams and external partners

Validate data models and transformations

Ensure delivered data assets align with business requirements and governance standards

Act as liaison between business, IT, and data partners

Documentation & Standards

Create and maintain comprehensive documentation for:

  • Data models

  • KPIs

  • Transformations

  • Data contracts

Establish and enforce:

  • Naming conventions

  • Certification standards

  • Technical documentation practice

Change Management & Business Enablement

Drive adoption of self-service analytics and governed datasets

Lead training and enablement sessions for business users

Improve data literacy across functions

Support change management initiatives and governance adoption

Cross-Functional Collaboration

Partner with:

  • Data Engineers, Data Scientists, Enterprise

  • Finance, Sales, Operations, Marketing

  • IT and Architecture teams

Communicate project status, risks, and insights to stakeholders

Lead meetings, resolve issues proactively, and drive alignment

Skills & Experience to be Successful:

Required

Bachelor's degree in Analytics, Information Systems, Computer Science, or related field

5-8+ years in business/data analysis, BI, or data product support roles

Strong SQL and data analysis skills

Experience with:

  • Data platforms

  • Data warehousing and modeling concepts

Hands-on experience with:

  • Requirements gathering

  • Agile delivery (user stories, backlog management)

  • Data validation and reconciliation

Knowledge of:

  • Data governance, lineage, metadata

  • Data quality frameworks and KPIs

Strong communication and stakeholder management skills

Preferred

Experience with Cloud Platforms focusing on Data, AI & Analytics product outcomes

Exposure to:

  • ETL/ELT tools

  • Data catalog/governance tools

Experience working with third-party data partners

Industry experience (Insurance, Finance, or similar data-heavy environments)

Familiarity with MDM concepts (customer master, deduplication, golden records)

Exposure to AI/ML-ready data ecosystems

Strong analytical thinking and problem-solving

Ability to translate between business and technical teams

Attention to detail in data validation and governance

Self-directed execution and ownership mindset

Influence without authority across cross-functional stakeholders

Teammate Benefits & Total Well-Being

We go beyond standard benefits, focusing on the total well-being of our teammates, including:

  • Health Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance
  • Financial Benefits: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement
  • Mental Health & Wellness: Free Mental Health &Enhanced Advocacy Services
  • Beyond Benefits: Paid Time Off, Holidays, Preferred Partner Discounts and more.

Not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations.


Recruiting Vendor Disclosure Statement

Brown & Brown does not accept unsolicited resumes from external recruiters, recruitment vendors or employment agencies ("Recruiting Vendors"). Recruiting Vendors must have a valid written agreement and received prior written authorization from an authorized Brown & Brown representative before submitting candidates for any publicly posted role. Any unsolicited resumes submitted to Brown & Brown or its employees become the property of Brown & Brown, and no fees will be paid for such submissions. Additional information regarding this policy can be found on our careers page.

The Power To Be Yourself

As an Equal Opportunity Employer, we are committed to fostering an inclusive environment comprised of people from all backgrounds, with a variety of experiences and perspectives, guided by our Diversity, Inclusion & Belonging (DIB) motto, "The Power to Be Yourself".