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Freelance Data Analyst R Programming Jobs in Texas

The Data Analyst will provide data analysis, reporting, and visualization support to the Statistics ... Strong programming skills in R or Python, with experience in both. Advantageous to be familiar with ...

New

Data Analyst

Dallas, TX

$70K - $100K/yr

The Data Analyst will provide data analysis, reporting, and visualization support to the Statistics ... Strong programming skills in R or Python, with experience in both. Advantageous to be familiar with ...

New

Identify gaps in data comparisons between the EACE-R, MDR, DoDTR and MOTR. * Provide presentations or briefings on all aspects of the data analysis * Maintain analytics project SharePoint libraries ...

Identify gaps in data comparisons between the EACE-R, MDR, DoDTR and MOTR. * Provide presentations or briefings on all aspects of the data analysis * Maintain analytics project SharePoint libraries ...

Identify gaps in data comparisons between the EACE-R, MDR, DoDTR and MOTR. * Provide presentations or briefings on all aspects of the data analysis * Maintain analytics project SharePoint libraries ...

Identify gaps in data comparisons between the EACE-R, MDR, DoDTR and MOTR. * Provide presentations or briefings on all aspects of the data analysis * Maintain analytics project SharePoint libraries ...

Translate business questions into execution by collaborating closely with Engineering and Data ... Proficiency in Python or R for analysis and automation is a plus. * Strong instincts for ...

Advanced experience in SQL programming, statistical analysis and data modeling Extensive experience in statistical software, such as R, SAS, or Python. Proven experience leading and managing cross ...

Advanced experience in SQL programming, statistical analysis and data modeling Extensive experience in statistical software, such as R, SAS, or Python. Proven experience leading and managing cross ...

Advanced experience in SQL programming, statistical analysis and data modeling Extensive experience in statistical software, such as R, SAS, or Python. Proven experience leading and managing cross ...

... programming, statistical analysis and data modeling • Extensive experience in statistical software, such as R, SAS, or Python. • Proven experience leading and managing cross-functional teams to ...

High proficiency and professional experience coding in SQL, Python and/or R (tested during ... Bachelor's degree or higher in Statistics, Finance, Accounting, Math, Economics, Engineering ...

Collect, analyze, and interpret operational data to support decision-making and process ... Advanced skills in Microsoft Excel and SQL; experience with Python or R is a plus. * Strong problem ...

Job Title Lead Data Analyst Agency Texas A&M Agrilife Research Department Dallas Proposed Minimum ... Proficiency in statistical programming languages (e.g., R, SPSS, Stata, SAS), data visualization ...

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Freelance Data Analyst R Programming information

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 Texas? The most popular types of Data Analyst R Programming jobs in Texas are:
What job categories do people searching Freelance Data Analyst R Programming jobs in Texas look for? The top searched job categories for Freelance Data Analyst R Programming jobs in Texas are:
What cities in Texas are hiring for Freelance Data Analyst R Programming jobs? Cities in Texas with the most Freelance Data Analyst R Programming job openings:

$70K - $100K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


Job description

As a global medtech company, we are driven by our Vision of changing the trajectory of lives for a new day and our Mission to create ingenious solutions that ignite patient turnarounds. Our relentless commitment to patients and strong legacy of innovation in healthcare are the foundation of our future. If you're looking for a new chance, a new beginning, a new trajectory, LivaNova is where your talent can truly thrive. Join our talented team members worldwide to become a pioneer of tomorrow-because at LivaNova, we don't just treat conditions - we aspire to alter the course of lives.

The Data Analyst will provide data analysis, reporting, and visualization support to the Statistics & Data Science team across post-market surveillance, manufacturing, R&D, and clinical data sources. The Data Analyst will accomplish this by developing efficient, repeatable analytical solutions by automating routine reports, maintaining dashboards, and improving data workflows in collaboration with statisticians and business stakeholders. Additionally, they will translate stakeholder needs into practical data deliverables, with guidance, while ensuring outputs are accurate, validated, documented, and aligned with internal procedures.

Essential Job Functions

  • Generate routine and ad hoc descriptive analyses, summaries, tables, graphs, and reports to support operational, quality, product, and clinical decision-making.

  • Develop, automate, and maintain recurring reports and analytical workflows using programming tools and reproducible code to improve efficiency, consistency, and timeliness.

  • Build, enhance, and maintain dashboards and other data visualization tools that enable stakeholders to monitor key metrics and trends.

  • Transform stakeholder questions into clear analytical requirements by clarifying objectives, defining deliverables, and confirming timelines, assumptions, and data needs.

  • Partner with statisticians and subject matter experts to determine when a request is appropriate for a data analyst solution versus when deeper methodological or statistical expertise is required.

  • Perform data extraction, data cleaning, data preparation, quality checks, and documentation activities to support reliable analyses and reporting.

  • Support validation and code review activities for analytical programs and reports in accordance with internal procedures, documentation practices, and quality expectations.

  • Identify opportunities to streamline existing reporting processes, standardize recurring deliverables, and implement practical process improvements that reduce manual effort.

  • Communicate results clearly to technical and non-technical stakeholders through effective written, visual, and verbal summaries, and manage multiple requests/projects with appropriate organization and follow-through.

Minimum Requirements

  • 0-3 years of professional experience in a comparable role supporting data analytics, preferably within a medical device, pharmaceutical company, or CRO.

  • Bachelor's degree with excellent track record in mathematics, statistics, data science, computer science, business analytics or equivalent (master's preferable).

  • Strong programming skills in R or Python, with experience in both. Advantageous to be familiar with SQL, Power BI, SAS, VBA, JavaScript.

  • Understanding of mathematical and statistical principles.

  • Willingness and ability to develop knowledge of device functionality.

  • Ability to effectively collaborate and communicate cross-functionally with engineers and clinical or medical staff.

Travel Requirements

  • Occasional travel may be required.

Pay Transparency

  • A reasonable estimate of the annual base salary for this position is $70,000 - $100,000 plus discretionary annual bonus. Pay ranges may vary by location and will be awarded based on experience.

Employee benefits include:

  • Health benefits - Medical, Dental, Vision

  • Personal and Vacation Time

  • Retirement & Savings Plan (401K)

  • Employee Stock Purchase Plan

  • Training & Education Assistance

  • Bonus Referral Program

  • Service Awards

  • Employee Recognition Program

  • Flexible Work Schedules

Welcome to impact. Welcome to innovation. Welcome to your new life.