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Freelance Data Analyst R Programming Jobs in Baltimore, MD

Varsity Tutors

Data Science Tutor

College Park, MD · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Laurel, MD · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Baltimore, MD · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Freelance Data Analyst R Programming information

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$33.8K

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$135.1K

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

As of May 30, 2026, the average yearly pay for freelance data analyst r programming in Baltimore, MD is $82,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 per year, depending on experience, location, and employer.

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 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 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.

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 are the most commonly searched types of Data Analyst R Programming jobs in Baltimore, MD? The most popular types of Data Analyst R Programming jobs in Baltimore, MD are:
What are popular job titles related to Freelance Data Analyst R Programming jobs in Baltimore, MD? For Freelance Data Analyst R Programming jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Freelance Data Analyst R Programming jobs in Baltimore, MD look for? The top searched job categories for Freelance Data Analyst R Programming jobs in Baltimore, MD are:
Freelance Data Analyst R Programming jobs near you
Research Data Analyst ( Department of Health Policy & Management)

Research Data Analyst ( Department of Health Policy & Management)

Johns Hopkins University

Baltimore, MD • On-site

$48K - $84.10K/yr

Full-time

Posted 24 days ago

Johns Hopkins Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 200 frontline employees who took The Breakroom Quiz

216th of 864 rated healthcare providers

Job description

The Department of Health Policy and Management (HPM) in the Bloomberg School of Public Health is seeking a Research Data Analyst to support health policy research on the Johns Hopkins Drug Supply Chain Data Dashboard. Johns Hopkins Drug Supply Chain Data Dashboard is a university-wide platform which supports data-driven health care services research across JHU. The goal of the platform is to advance data-driven solutions that address national health system challenges across markets, organizations, populations, and technologies. The platform will provide timely insights to tackle drug shortages and supply chain disruptions, to improve data transparency and increase resiliency in the U.S. pharmaceutical supply chain.
The successful candidate will serve as a co-investigator on health policy projects led by Dr. Mariana Socal. Primary research areas include import and export of drugs and Active Pharmaceutical Ingredients (APIs) supply, the impact of drug inspections, warning letters, citations on supply, and viable and sustainable options for preventing and coping with drug shortages.
The Research Data Analyst will provide data analysis and related activities for various types of research projects and studies. The Research Data Analyst will contribute to ongoing development, maintenance, and use of a research data pipeline that collects and analyzes data.
Specific Duties & Responsibilities
  • Collect data and generate reports and models.
  • Run models, analyze model results, and prepare reports on the analysis.
  • Conduct analyses in support of the assigned research project or study.
  • Conduct statistical analyses using standard and statistical software packages.
  • Design and prepare tables to illustrate analytic findings.
  • Manage or contribute to entry of data in the assigned database.
  • May engage in other research related responsibilities.
  • Other duties as assigned.

In addition to the duties described above
  • Support the development of dashboards, calculations, and reports, which may require programming.
  • Support the development and tuning of machine learning models, which may require programming.
  • Integrate and harmonize complex regulatory, manufacturing, and trade datasets (e.g., FDA, DailyMed, DMF, NDC, import/export databases).
  • Support the development of infrastructure for cleaning and processing data and running experiments to evaluate system performance.
  • Mine various data resources for development of key metrics, performance indicators, and general business intelligence useful for planning and service design.
  • Perform error analysis and suggest and implement improvements.

Minimum Qualifications
  • Bachelor's Degree in a related field.
  • Three years of related experience.
  • Additional education may substitute for required experience, to the extent permitted by the JHU equivalency formula.

Preferred Qualifications
  • Master's Degree in Mathematics, Statistics, Data Science, Engineering, Public Health, or a related field preferred.
  • Four years of relevant quantitative research and analytics experience, with at least two of those years including complex programming experience.

Technical Skills & Expected Level of Proficiency
  • Data Management and Analysis - Developing
  • Data Pipeline Architecture & ETL/ELT Development - Developing
  • Data Visualization - Developing
  • Programming Languages - Developing
  • Reproducible Research Practices - Developing
  • Research Methodology - Developing
  • Statistical Modeling - Developing
  • Statistical Programming - Developing

The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.
Classified Title: Research Data Analyst
Role/Level/Range: ACRP/04/MC
Starting Salary Range: $48,000 - $84,100 Annually (Commensurate w/exp.)
Employee group: Full Time
Schedule: Monday to Friday: 8:30am - 5:00pm
FLSA Status: Exempt
Location: Remote
Department name: 60004111-Health Policy & Management -Lipitz
Personnel area: School of Public Health

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