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Freelance Data Analyst R Programming Jobs in Port Orange, FL

Security First Managers LLC

Data Engineer

Ormond Beach, FL · On-site

$100K - $120K/yr

Perform advanced data analysis, transform raw data into actionable insights, and support business ... programming languages Microsoft Database technical certifications Five (5) years of Microsoft SQL ...

APCO International

SENIOR SYSTEM ANALYST

Daytona Beach, FL · On-site

$70K - $80K/yr

The Senior System Analyst position plays a critical role in analyzing business and data processing ... data migration, extract, transform, and load (ETL) processes, Application Programming Interfaces ...

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All JobsData Analyst R Programming JobsFreelance Data Analyst R Programming JobsFreelance Data Analyst R Programming Jobs in Port Orange, FL

Freelance Data Analyst R Programming information

See Port Orange, FL salary details

$29.1K

$70.6K

$116.2K

How much do freelance data analyst r programming jobs pay per year?

As of Aug 28, 2026, the average yearly pay for freelance data analyst r programming in Port Orange, FL is $70,634.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,400.00 and $82,900.00 per year, depending on experience, location, and employer.

What does a freelance data analyst with R programming do?

A Freelance Data Analyst who specializes in R programming collects, processes, and analyzes data using the R language. They often work with clients on a project basis to extract insights from datasets, create visualizations, and build statistical models. Their tasks may include data cleaning, exploratory data analysis, and creating reproducible reports. They also help organizations make data-driven decisions by interpreting results and recommending actions based on their analyses.

What are the key skills and qualifications needed to thrive as a freelance data analyst with R programming?

To thrive as a Freelance Data Analyst specializing in R Programming, you need strong analytical skills, proficiency in statistical methods, and a solid foundation in data manipulation, typically supported by a degree in a quantitative field. Mastery of R and its libraries (like dplyr, ggplot2, and tidyr), as well as familiarity with data visualization tools and possibly certification in data analytics, are important technical assets. Excellent problem-solving, communication, and project management skills help you stand out when delivering insights to clients and managing multiple projects independently. These competencies enable accurate data-driven decision-making, effective client collaboration, and successful project execution in a competitive freelance environment.

What are some common challenges freelance data analysts face when working with clients using R programming?

Freelance data analysts using R often encounter challenges such as aligning on data formats and expectations with clients who may have limited technical backgrounds. Managing project scope and deadlines can also be tricky, especially when clients request additional analyses or changes mid-project. Communication is key, as you'll frequently need to explain R-based findings in a clear, non-technical way and ensure reproducibility of your code for client handover. Additionally, securing access to necessary data and maintaining data privacy are critical aspects of the role.

What is the difference between Freelance Data Analyst R Programming vs Freelance Data Scientist R Programming?

AspectFreelance Data Analyst R ProgrammingFreelance Data Scientist R Programming
Required SkillsData analysis, R programming, visualizationData analysis, R programming, machine learning, statistical modeling
Work EnvironmentProject-based, client-specificProject-based, client-specific
Industry UsageBusiness intelligence, reportingAdvanced analytics, predictive modeling

Freelance Data Analyst R Programming focuses on analyzing data and creating reports using R, suitable for business insights. Freelance Data Scientist R Programming involves deeper statistical modeling and machine learning, often for predictive analytics. Both roles require R skills but differ in complexity and scope.

What job categories do people searching Freelance Data Analyst R Programming jobs in Port Orange, FL look for?

The top searched job categories for Freelance Data Analyst R Programming jobs in Port Orange, FL are:

What cities near Port Orange, FL are hiring for Freelance Data Analyst R Programming jobs?

Cities near Port Orange, FL with the most Freelance Data Analyst R Programming job openings:

Freelance Data Analyst R Programming jobs near you

Senior Business Analyst - Retail Data Products

Daytona Beach, FL

Brown & Brown Insurance
See more jobs at Brown & Brown Insuranceexternal

$82K - $104K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 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".

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