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Self Employed Data Analyst R Programming Jobs in Texas

Texas A&M AgriLife

Lead Data Analyst

Dallas, TX · On-site

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 ...

Tamus

Lead Data Analyst

Dallas, TX

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 ...

ActivTrak

Data Analyst

Austin, TX · Remote

Partner with engineers to validate data accuracy, integrity, and consistency. * Implement data ... Self-starter with a growth mindset and attention to detail * Excellent communication skills with ...

Calpine

Engineer - Data Analyst

Pasadena, TX

The ideal candidate will have a strong background in data analysis, with experience in data ... R, Excel, Alteryx, KNIME, etc along with experience in visualization platforms like Tableau, Power ...

Calpine

Engineer - Data Analyst

Pasadena, TX · On-site

The ideal candidate will have a strong background in data analysis, with experience in data ... R, Excel, Alteryx, KNIME, etc along with experience in visualization platforms like Tableau, Power ...

Loopback Analytics

RWD Data Analyst

Dallas, TX · On-site

Data Analysis & Solution Development * Analyze Loopbacks large-scale healthcare data warehouse ... Exposure to SQL and at least one scripting/statistical language (Python, R). * Exceptional problem ...

Brillio Inc

Data Scientist / R Modeller

Irving, TX

R Programming (2+ years) * Experience with Statistical Analysis (2+ years) * Linux and Hadoop experience - needs to have an understanding of these, no minimum requirements, but previous work ...

Brillio Inc

Data Scientist / R Modeller

Irving, TX · On-site

R Programming (2+ years) * Experience with Statistical Analysis (2+ years) * Linux and Hadoop experience - needs to have an understanding of these, no minimum requirements, but previous work ...

Cambium Learning Group

Data Analyst

Dallas, TX · On-site +1

The Data Analyst (SQL) will be primarily responsible for the following: * Integrate data from ... R, or other). * Must be detail-oriented with excellent analytical and quantitative skills.

Centstone

Data Analyst

Dallas, TX · On-site

$45 - $50/hr

... data engineering, business, and reporting teams to deliver accurate insights Requirements • 7+ years of Data Analyst experience required • Strong hands-on Python experience required • ...

New

ExxonMobil

Data Analyst

Houston, TX · On-site

Understanding of programming languages such as Python, R, Matlab or similar is highly preferred * Subject Matter Expert within select functions applicable to Data Analyst role Your benefits An ...

StaffingSoft Inc.

Data Analyst

Irving, TX

QUALIFICATIONS REQUIRED: • Master/Bachelor degree in Statistics, Economics, Industrial Engineering and/or Business. • 1-3 years work experience in data analysis. • Strong background in data ...

ExxonMobil

Data Analyst

Houston, TX · On-site

Understanding of programming languages such as Python, R, Matlab or similar is highly preferred * Subject Matter Expert within select functions applicable to Data Analyst role Your benefits An ...

NATIONMIND LLC

Data Analyst

Houston, TX · Remote

$40 - $45/hr

Data_Analyst Request ID: 89081-1 Location: Houston, TX or US Remote Duration: 6-12 months Skills ... Comfortable working with data engineers to validate datasets, metric logic, and dashboard ...

ExxonMobil

Data Analyst

Houston, TX · On-site

Understanding of programming languages such as Python, R, Matlab or similar is highly preferred * Subject Matter Expert within select functions applicable to Data Analyst role Your benefits An ...

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Self Employed Data Analyst R Programming information

Are R programmers in demand?

Self-employed R programmers and data analysts skilled in R programming are in high demand due to the growing need for data analysis and statistical modeling across industries. Proficiency in R, along with knowledge of data visualization and statistical techniques, enhances job prospects in consulting, research, and analytics projects.

Will AI replace data analysts?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting results, making strategic decisions, and applying domain knowledge. Self-employed data analysts using skills in R programming and statistical analysis will continue to be valuable for complex, context-specific insights that AI cannot fully replicate.

Is 40 too late for data science?

Self-employed data analysts using R programming can start at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant tools like R, Python, and machine learning techniques, making age less of a barrier. Ongoing education and building a strong portfolio are key to entering the field at any age.

Can a data analyst be self-employed?

A data analyst can be self-employed by offering freelance or consulting services, often using skills in R programming, data visualization, and statistical analysis. Self-employment requires managing clients, setting rates, and handling business operations independently.
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:
Self Employed Data Analyst R Programming jobs near you

Lead Data Analyst

Texas A&M AgriLife

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Texas A&M University rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

192nd of 538 rated colleges and universities

Job description

Job Title
Lead Data Analyst
Agency
Texas A&M Agrilife Research
Department
Dallas
Proposed Minimum Salary
Commensurate
Job Location
Dallas, Texas
Job Type
Staff
Job Description
About Texas A&M AgriLife
Texas A&M AgriLife is comprised of the following Texas A&M University System members:
  • Texas A&M AgriLife Extension Service
  • Texas A&M AgriLife Research
  • College of Agriculture and Life Sciences at Texas A&M University
  • Texas A&M Forest Service
  • Texas A&M Veterinary Medical Diagnostic Laboratory

As the nation's largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.
Click here to learn more about joining AgriLife!
Position Information
Job Summary:
The Lead Data Analyst, under general direction, serves as a technical lead on complex data projects. Provides technical oversight for the application of and compliance with technical standards. Completes reports and summaries for management and users including project status reports, problem reports, and progress summaries.
Responsibilities:
  • Provide leadership and strategic direction for data analysis activities across a portfolio of public health and nutrition research projects, ensuring alignment with organizational and research goals.
  • Supervise, mentor, and support data analysts and junior statisticians; delegate tasks, facilitate professional development, and provide technical guidance and quality assurance.
  • Oversee the design, implementation, and continual optimization of data analysis workflows, ensuring best practices are established and maintained across projects.
  • Review and document data structures to support both current and future research objectives at the program and institutional level.
  • Lead the development and application of advanced statistical models and methodologies, including but not limited to: multilevel modeling, mixed models for clustered randomized trials, longitudinal data analysis, and other advanced statistical techniques for complex datasets.
  • Oversee the design and execution of statistical analysis plans, including power and sample size calculations, for diverse study designs (e.g., randomized controlled trials, community-randomized trials, longitudinal cohorts) and ensure these meet funding requirements and research objectives.
  • Supervise the establishment, maintenance, and improvement of data collection systems; direct data collection and quality assurance activities, including programming forms, monitoring data integrity, and developing data cleaning procedures.
  • Coordinate acquisition, cleaning, merging, and management of data from multiple secondary sources (local, state, and national databases) and ensure robust data governance and compliance with relevant privacy and security policies.
  • Develop quality control assessments to identify and resolve data issues, implement process improvements, and train team members on best practices in data management and cleaning.
  • Oversee and ensure the quality of documentation for data workflows, cleaning, and analysis procedures, and ensure reproducibility and transparency across all stages of the analytic process.
  • Prepare or review reports, manuscripts, presentations, and visualizations of analytic findings for internal and external use; ensure clarity, accuracy, and suitability for various audiences.
  • Collaborate with principal investigators, multidisciplinary research teams, and external partners (including funding agencies and data stewards) to interpret findings, advise on data strategy, and translate results into actionable insights.
  • Lead the development of statistical and analytic sections of grant proposals, supporting funding initiatives and program growth.
  • Participate in strategic planning for the data analytics function and represent the data analysis team in broader organizational initiatives.
  • Performs other duties as assigned.

Required Qualifications:
  • Bachelor's degree in a relevant field (e.g., epidemiology, public health, biostatistics, nutrition, statistics, clinical research) or equivalent combination of education and experience.
  • At least 6 years of professional experience in data collection and analysis, including direct experience with statistical modeling and management of research datasets.
  • Proficiency in statistical programming languages (e.g., R, SPSS, Stata, SAS), data visualization tools (e.g., Tableau, Power BI), and database applications.
  • Demonstrated experience leading the preparation of research manuscripts and securing grant funding.
  • Excellent verbal and written communication skills with ability to effectively communicate with faculty and staff.
  • Detail oriented and ability to organize tasks and prioritize work with minimal supervision.
  • Ability to multi-task and work cooperatively with others.

Preferred Qualifications
  • Master's degree or Ph.D. in nutrition epidemiology or related field (e.g., public health, nutrition, statistics, or relevant education and experience meeting job expectations).
  • At least one year of related experience.
  • Experience working with and accessing local, state and national data sets (e.g., Texas health data, NHANES, WHI, Framingham Heart Study, etc.).
  • Experience developing valid, reliable composite scoring and screening instruments (e.g., Life's Simple 7; dietary screeners; etc.).
  • Knowledge and understanding of the mission and role of the Land Grant University System, including community-campus partnership and the Extension system.

What You Need to Know
Salary: Compensation is commensurate with the candidate's qualifications.
Flexible Work Arrangements: Flexible work schedules and remote work options may be available for this position, depending on the nature of the role and employee eligibility, in accordance with AgriLife Alternate Work Location Procedures.
Important Notice Regarding H1-B Sponsorship: Your employment at Texas A&M AgriLife may require nonimmigrant sponsorship. A Presidential proclamation issued on September 19, 2025, imposes a $100,000 fee on new H-1B petitions filed after September 21, 2025. Texas A&M AgriLife will NOT pay this fee. If the fee is imposed on your petition, this offer of employment will be revoked. If actions taken during your employment result in the imposition of this fee, your employment will be terminated. To the extent that this statement conflicts with any applicable System or member Policy, Regulation, or Rule, this statement will control. We recommend that you consult with your private immigration counsel at your own expense regarding potential implications.
In addition, on January 27, 2026, Texas Governor Abbott issued a moratorium on the filing of any new H-1B unless approved by the Texas Workforce Commission. Accordingly, if you will now or in the future require sponsorship for employment visa status this moratorium may affect our ability to employ you should you be selected as the final candidate.
Benefits and Leave:
  • Health, dental, vision, life and long-term disability insurance (AgriLife contributes to premiums)
  • 12-15 annual paid holidays
  • Up to 8 hours/month sick leave and at least 8 hours/month vacation
  • Automatic enrollment in the Teacher Retirement System of Texas
  • Employee Wellness Initiative
  • Access to ongoing professional development and training through Aspire, LinkedIn Learning, and internally developed programs

How to Apply
Applications must include all job application data or a complete resume. Incomplete applications may be rejected. Applicants are encouraged to upload a resume or use LinkedIn to prepopulate application fields.
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.
Equal Opportunity/Veterans/Disability Employer.

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