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Data Analyst R Jobs in Texas (NOW HIRING)

IntelliPro Group Inc.

Business Data Analyst

Plano, TX · On-site

$69/hr

Data Analyst Duration: 12 Months Location: Plano, TX (Hybrid) Pay rate: $69/hr on W2 What we're ... High proficiency and professional experience coding in SQL, Python and/or R (tested during ...

PureWay Compliance, Inc

Senior Data Analyst

Katy, TX · On-site

$90K - $100K/yr

We are seeking a highly analytical Senior Data Analyst to transform complex business data into ... Experience with Python, R, or other statistical programming languages * Experience with AI-assisted ...

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 ...

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 ...

Ampcus Inc

Senior Data Analyst

Plano, TX · On-site

$82K - $104K/yr

We are seeking a highly analytical and detail-oriented Data Analyst with a strong background in ... or R is a plus. • Excellent communication skills to present findings to non-technical ...

System One

Business Data Analyst

Plano, TX · On-site

$42/hr

Familiarity with additional data analysis tools and programming languages such as Python or R is highly desirable. * Understanding of data modeling concepts and ETL processes is a plus. * Experience ...

DPDHL

Sr Business Data Analyst

Northlake, TX · On-site

$70K - $115K/yr

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

DHL

Sr Business Data Analyst

Northlake, TX · On-site

$70K - $115K/yr

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

PTR Global

Senior Data Analyst

Fort Worth, TX · On-site

$52 - $55/hr

Position: Senior Data Analyst Location: Fort Worth, Texas Duration: Contract Job ID: 179465 Job ... Experience with statistical analysis and tools such as R or Python is a plus. About PTR Global: PTR ...

CGI Inc.

Data Analyst - Entry Level

Houston, TX · On-site

... R). • Exposure to data analysis through coursework, internships, research or personal projects is preferred but not required. • Foundational understanding of development data/AI engineering and ...

SAGIS PLLC

Data Analyst II

Houston, TX · On-site

Extract and analyze data from our healthcare operations and billing databases to support ... Python or R is a plus. * Experience with Zoho Analytics and/or Databricks is a huge plus (we use ...

CGI Inc.

Data Analyst - Entry Level

Dallas, TX · On-site

... R). • Exposure to data analysis through coursework, internships, research or personal projects is preferred but not required. • Interest in learning and responsibly using AI-enabled tools ...

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Data Analyst R information

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How much do data analyst r jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data analyst r in Texas is $76,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What is a data analyst R?

A Data Analyst R job involves analyzing and interpreting data using the R programming language. Professionals in this role collect, clean, and process data, then apply statistical techniques and visualizations to extract insights. They work with databases, create reports, and support decision-making in business, healthcare, finance, or other industries. Proficiency in R, SQL, and data visualization tools is essential.

What does a data analyst R do?

A Data Analyst R typically spends their day extracting, cleaning, and analyzing large datasets using R, generating reports, and building data visualizations to communicate findings. Collaboration is a key aspect, as analysts often work closely with business stakeholders, IT teams, and fellow analysts or data scientists to define project objectives and interpret results. Regular meetings, presentation of findings, and participation in problem-solving discussions are common parts of the workflow. This collaborative, dynamic environment helps ensure that data-driven insights effectively support organizational goals and decision-making processes.

What skills and qualifications are needed for a data analyst R?

To excel as a Data Analyst R, candidates require strong analytical abilities, proficiency in statistical modeling, and a solid background in mathematics or related fields, often supported by a relevant degree. Expertise in the R programming language, knowledge of data visualization libraries, and experience with database querying (such as SQL) are commonly expected; certifications in data analysis or R programming can be advantageous. Attention to detail, critical thinking, and effective communication skills help data analysts translate complex data insights into actionable business recommendations. These competencies enable Data Analyst R professionals to accurately interpret data, efficiently support business decisions, and foster collaboration across departments.

What are popular job titles related to Data Analyst R jobs in Texas?

For Data Analyst R jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Analyst R jobs in Texas look for?

The top searched job categories for Data Analyst R jobs in Texas are:

What cities in Texas are hiring for Data Analyst R jobs?

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Data Analyst R jobs near you
Infographic showing various Data Analyst R job openings in Texas as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 10% Part Time, 2% Temporary, and 7% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $76,992 per year, or $37 per hour.

Lead Data Analyst

Dallas, TX • On-site

The Texas A&M University System
Colleges, Universities, and Professional Schools • 201 - 500 employees
Learn more about The Texas A&M University Systemexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

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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