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Freelance Data Analyst R Programming Jobs in Arkadelphia, AR

Ocugen Opco Inc

Clinical Data Scientist

Malvern, AR · On-site

Minimum of 5 years of experience in clinical development, clinical data analysis, programming, DSMB or DMC support or related analytics roles.Proficiency in programming languages such as SAS, R ...

Danaher

Digital Analyst Internships

Hot Springs, AR

$80K - $94K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Hot Springs, AR · On-site

$80K - $94K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Kids for the Future

Embedded Software Engineer

Malvern, AR · On-site

$114K - $151K/yr

Experience with MATLAB and/or Python for data analysis, scripting, test automation, or engineering ... tools. * Experience with RTOS-based systems. * Knowledge of reliability testing, EMC considerations ...

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All JobsData Analyst R Programming JobsFreelance Data Analyst R Programming JobsFreelance Data Analyst R Programming Jobs in Arkadelphia, AR

Freelance Data Analyst R Programming information

See Arkadelphia, AR salary details

$30.1K

$73.1K

$120.4K

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

As of Sep 9, 2026, the average yearly pay for freelance data analyst r programming in Arkadelphia, AR is $73,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,300.00 and $85,800.00 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 cities near Arkadelphia, AR are hiring for Freelance Data Analyst R Programming jobs?

Cities near Arkadelphia, AR with the most Freelance Data Analyst R Programming job openings:

Freelance Data Analyst R Programming jobs near you

Clinical Data Scientist

Malvern, AR • On-site

Ocugen Opco Inc
See more jobs at Ocugen Opco Incexternal

Other

Posted 22 days ago

Job description

Position SummaryThe Clinical Data Scientist will support clinical development programs through data-driven insights, analysis, and high-impact visual communication. This role is responsible for parsing and interpreting clinical trial data, generating figures and presentations, and supporting data review activities to inform study execution and development strategy.The individual will work closely with Biostatistics, Data Management, and Clinical Operations to ensure data quality, consistency, and usability. Success in this role requires strong programming and data visualization skills, along with the ability to translate complex clinical data into clear, actionable insights for both internal and external stakeholders.ResponsibilitiesParse, review, and structure clinical trial data to support study interpretation, decision-making, and leadership updates.Develop high-quality graphs, tables, and figures using programming and analytics tools for analysis and presentation purposes.Act as a liaison between Biostatistics/Stat Programming, Data Management and Clinical Operations. Experience working with EDC data, Lab imaging data and external vendor data.Collaborate with Biostatistics, Data Management, and Clinical Operations to support data cleaning, reconciliation, and study tracking.Perform ongoing data review to assess safety, efficacy, and operational metrics.Create clear, visually compelling slide decks and materials for senior leadership, study teams, investigators, and governance forums.Contribute to clinical study documentation, including protocols, statistical analysis plan (SAP) support materials, clinical study reports (CSRs), and interim analyses.Interpret emerging study data and communicate findings in a concise, structured, and clinically relevant manner.Maintain proficiency in programming, reporting, and visualization tools to support evolving data needs.Identify trends, anomalies, and data quality issues, and proactively escalate findings to relevant stakeholders.Advanced degree preferred in life sciences, quantitative sciences, or a related field.Minimum of 5 years of experience in clinical development, clinical data analysis, programming, DSMB or DMC support or related analytics roles.Proficiency in programming languages such as SAS, R, Python, SQL, or similar tools.Demonstrated ability to generate high-quality visualizations, tables, and presentations from clinical datasets.Experience with Data Visualization tools (R-Shiny, Power BI, Tableau or AI based tools) is a plusWorking knowledge of clinical trial design, operations, GCP, and clinical data structures.Strong analytical thinking, attention to detail, and communication skills, with the ability to convey complex data clearly.Expertise in Neuroscience and Ophthalmology is a plus.Working ConditionsThis position operates in an office setting, in person. Job may additionally require incumbent to be available outside of these hours to handle priority business needs.Ocugen is an equal opportunity employer. In order to provide equal employment and advancement opportunities to all individuals, we make all of our employment decisions based upon merit, qualifications, abilities, and an individual’s conduct and performance. We will not make any of our decisions, and will not discriminate against any employee or applicant, on the basis of race, color, religion, creed, national origin or ancestry, ethnicity, sex (including pregnancy), gender (including sexual orientation, gender identity and status as a transgender or transsexual individual), age, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, genetic information, or any other characteristic protected from discrimination under the law. Ocugen complies with applicable federal, state and local laws governing nondiscrimination in employment. #J-18808-Ljbffr

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