ZipRecruiter

Log In

1

Freelance Data Analyst R Programming Jobs in Miami, FL

SynergisticIT

Cloud Data Engineer

Dania Beach, FL · On-site

$104K - $125K/yr

... programming Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience For data Science/Data Analyst/AI/Machine learning Positions Preferred SKILLS ssociate or ...

RIT Solutions, Inc.

Azure Data Engineer

Sunrise, FL · On-site

$109K - $131K/yr

senior (1 2 + years ) Azure Data Analyst with extensive experience working with the Azure Data ... Programming & Tools: * 10+ years of experience in SQL , Python . .Net is a plus. * 5+ years of ...

Pwc

Data Strategy-Manager

Miami, FL

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Unicon Pharma Inc.

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

... in programming languages such as Python, R, and SQL. Experience with machine learning frameworks ... Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights. b.

Diverse Lynx

Data Mining Manager

Sunrise, FL · On-site

Experience Required - 8+ Years We are looking for a Data Mining developer with strong analytical ... Hands-on experience with Python and/or R for data analysis and modeling. * Knowledge of data mining ...

Ci

Director, Data Analytics and Reporting

Miami, FL

Follow best practices in data analytics/engineering, including version control, security, and change management procedures Technical skillset requirements * Demonstrated proficiency in data analytics ...

next page

Showing results 1-20

All JobsFreelance Data Analyst R Programming JobsFreelance Data Analyst R Programming Jobs in Miami, FL

Freelance Data Analyst R Programming information

See Miami, FL salary details

$32.5K

$79K

$130.1K

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

As of Jun 24, 2026, the average yearly pay for freelance data analyst r programming in Miami, FL is $79,041.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,800.00 and $92,800.00 per year, depending on experience, location, and employer.

How much do freelance data analysts make?

Freelance data analysts using R programming typically earn between $25 and $100 per hour, depending on experience, project complexity, and client budget. Annual income varies widely but can range from $50,000 to over $100,000 for experienced professionals working on multiple projects or consulting contracts.

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.

Are R programmers in demand?

R programmers, including freelance data analysts skilled in R programming, are in high demand due to the growing need for data analysis, statistical modeling, and data visualization across industries. Proficiency in R, along with skills in data manipulation and reporting, increases job opportunities in analytics and research roles.

What are the key skills and qualifications needed to thrive as a Freelance Data Analyst with R Programming expertise, and why are they important?

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 does a Freelance Data Analyst specializing in 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.

Can I do freelancing as a data analyst?

Freelance data analysts, including those skilled in R programming, can work independently by offering data analysis, visualization, and reporting services to clients. Success depends on building a strong portfolio, having proficiency in tools like R and SQL, and managing client relationships and deadlines. Many freelancers find opportunities through online platforms and networking.

Does R programming pay well?

Freelance data analysts skilled in R programming can earn competitive rates, especially with expertise in statistical analysis, data visualization, and proficiency in tools like RStudio. Earnings vary based on experience, project complexity, and client industry, but experienced freelancers often command higher pay in the data analysis field.

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 are the most commonly searched types of Data Analyst R Programming jobs in Miami, FL? The most popular types of Data Analyst R Programming jobs in Miami, FL are:
What are popular job titles related to Freelance Data Analyst R Programming jobs in Miami, FL? For Freelance Data Analyst R Programming jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Freelance Data Analyst R Programming jobs in Miami, FL look for? The top searched job categories for Freelance Data Analyst R Programming jobs in Miami, FL are:
What cities near Miami, FL are hiring for Freelance Data Analyst R Programming jobs? Cities near Miami, FL with the most Freelance Data Analyst R Programming job openings:
Freelance Data Analyst R Programming jobs near you
Infographic showing various Freelance Data Analyst R Programming job openings in Miami, FL as of June 2026, with employment types broken down into 74% Full Time, 8% Part Time, and 18% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $79,041 per year, or $38 per hour.
Sr. BI Commercial Data Analyst

Sr. BI Commercial Data Analyst

DHL eCommerce

Weston, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

DHL rating

7.0

Company rating: 7.0 out of 10

Based on 313 frontline employees who took The Breakroom Quiz

32nd of 62 rated delivery companies

Job description

Job Brief
The Sr. BI Commercial Data Analyst plays a key role in developing, maintaining, and innovating data analytics reporting solutions within the commercial analytics team. This position will design, develop, and manage Power BI reports and dashboards.
At DHL, our people are our greatest asset! Everyone's contribution drives us to be the world's #1 logistics company.
Certified as a Great Place to Work and as a Top Employer, we're dedicated to fostering a positive, collaborative, and supportive environment for all. Our commitment and engagement with Our People ensure we continuously build a workplace we're all proud of. Plus, with competitive compensation and exceptional perks, we make sure your personal life shines just as brightly as your career.
Summary:
The Sr. BI Commercial Data Analyst plays a key role in developing, maintaining, and innovating data analytics reporting solutions within the commercial analytics team. This position will design, develop, and manage Power BI reports and dashboards by leveraging data analytics skills complemented with expertise in Power BI and a clear understanding of Azure Data Lake. This role will also be responsible for conducting piece level data (PLD) analysis to create customer profiles, working closely with the sales team to understand requirements and delivering accurate, logically sound analytical solutions. This position will support continuous improvement of existing reporting and analytical processes while contributing to broader data analytics projects as required.
Essential Duties & Responsibilities:
  • Design, develop, and publish Power BI reports and templates that are visually intuitive and aligned with end-user needs and business requirements
  • Ensure all commercial Power BI reports are logically sound, mathematically accurate, and free of errors prior to deployment
  • Gather and understand business requirements from stakeholders and translate them into logical, accurate, and user-friendly Power BI reports and dashboards
  • Maintain and monitor all published Power BI reports to ensure minimal downtime and that report logic remains aligned with evolving business requirements
  • Conduct PLD analyses by working closely with the sales team to understand requirements, develop comprehensive solutions, and provide follow-up support to ensure findings are clearly understood
  • Ensure all PLD analytical solutions are logically and mathematically sound, free of errors, and meet the requirements of the requesting stakeholder
  • Proactively identify opportunities to make PLD analyses more comprehensive, insightful, and efficient over time
  • Model and optimize logistics process to support product management via Power BI, Excel, Access and Python or other statistical tools
  • Understand and become subject matter expert on USPS requirements and postal regulation on logistics questions (e.g. product classification, zone pricing, dangerous good, among others.)
  • Support ad-hoc requests from sales and leadership team by providing data driven conclusion and recommendation to help drive product strategy
  • Leverage Azure Data Lake to extract, transform, and analyze large volumes of data to support reporting and analytical needs
  • Support additional data analytics projects across the commercial team as and when required
  • Work both independently and collaboratively within the team to deliver high quality analytical outputs within agreed timelines
  • Perform other duties and special projects as assigned

Education & Experience:
  • Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Computer Science or a related quantitative field required
  • Master's degree/MBA in Business, Operations, Business Logistics Engineering or a related field preferred.
  • 5 years of related work experience in data analytics, product management, management consulting or data science; 2 to 3 years working knowledge of Microsoft Power BI with good understanding of Azure Data Lake and Data Bricks

Requirements & Skills:
  • Strong analytical, problem solving and quantitative analysis skills
  • Knowledge expert of Microsoft Power BI
  • Knowledge of databases, data analytics and visualization tools (Oracle SQL Developer, Python, Power BI and Tableau)
  • Proficient in Microsoft Azure Data Lake Storage (ADLS), Azure Databricks, Azure Data Factory, and Azure Synapse Analytics for data extraction, transformation, and analysis
  • Strong working knowledge of SQL, PySpark/Python, DAX, and Power Query for data processing and Power BI report development
  • Strong written and verbal communication skills
  • Strong planning, project management and organizational skills
  • Proficient in Excel, PowerPoint, MS Access, Visio
  • High attention to detail & forward thinking
  • Ability to work individually or within a team in a fast-paced environment
  • Ability to lead cross-functional teams and indirectly manage more junior team members

Physical Demands:
  • Business travel as required (<10% of time)
  • Regular sitting at workstation for 25 - 75% of the work shift
  • Frequent standing and walking

As a leading logistics company in one of the fastest growing industries, at DHL eCommerce, we offer our employees, and their dependents benefits and incentives to make them successful at work and home.
  • Competitive Pay
  • Bonus Programs
  • Retirement Savings - 401k with company match
  • Medical, Dental, Vision, Well-being programs
  • FSA/HSA availability
  • Tuition Reimbursement
  • Paid Time Off including vacation and sick time
  • Company Paid Holidays and Floating Holidays
  • Paid Parental Leave
  • Employee Discount Program
  • Employee Assistance & Work Life Program
  • Short Term and Long-Term Disability
  • Life Insurance

Equal Opportunity Employer - Veterans/Disability

What DHL employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

DHL logo

About DHL

Sourced by ZipRecruiter

When Adrian Dalsey, Larry Hillblom and Robert Lynn founded DHL in 1969, they didn’t know they would revolutionize the world of logistics. Today, DHL is the world’s leading logistics company. Our 600,000 people in over 220 countries and territories work every day to help you cross borders, reach new markets and grow your business. Or simply send a letter to your loved ones.

Industry

Transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

Social media

FacebookInstagram

View All DHL Jobs

Apply