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Afternoon Data Analyst R Programming Jobs in Irving, TX

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 ...

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.

Vangard, Inc.

Data Analyst, Specialist

Dallas, TX

... other programming tools to improve efficiency and reduce manual effort. * Collaborate with ... Proficiency in Python or R for statistical analysis, automation, and machine learning model ...

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 ...

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 ...

Lancesoft

Business Data Analyst

Plano, TX · On-site

$40 - $42/hr

... and programming languages such as Python or R is highly desirable. • Understanding of data ... and analytical thinking abilities. • Collaborative mindset with a focus on teamwork and ...

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 ...

MP Materials Corp.

Data Analyst

Fort Worth, TX

Work with engineering teams to gather and analyze process data in the context of underlying physical parameters, helping drive fundamental understanding of process performance on a first principles ...

LTK USA

Data Analyst

Dallas, TX · Remote

Experience with Python, R, or similar tools for analysis or automation is a plus, but not required ... engineering, math, computer science, or similar) is required.#LI-AJ1 What we offer for full-time ...

Tapcheck

Data Analyst

Plano, TX · Remote

You hand off data pipeline engineering, schema changes, and infrastructure work to Data Engineering. * You identify where automation or AI tooling could reduce Support volume and quantify the ...

MP Materials Corp.

Data Analyst

Fort Worth, TX · On-site

Work with engineering teams to gather and analyze process data in the context of underlying physical parameters, helping drive fundamental understanding of process performance on a first principles ...

Weir Group

Data Analyst

Fort Worth, TX

Data Analyst Location - Ft Worth, TX Work Arrangement - Hybrid What we do at Weir We are a global ... You'll apply your skills to deliver results that matter whether that's through engineering ...

Weir

Data Analyst

Fort Worth, TX

Data Analyst Location - Ft Worth, TX Work Arrangement - Hybrid What we do at Weir We are a global ... You'll apply your skills to deliver results that matter whether that's through engineering ...

Easy Recruiter

Senior Data Analyst

Dallas, TX · On-site

$85K - $107K/yr

M AJOR R ESPONSIBILITIES / D UTIES / C RITICAL T ASKS : * Secondary analyses of hospital administrative data, specialty registry data from within the institution, (e.g., trauma registry), and ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Irving, TX

Afternoon Data Analyst R Programming information

See Irving, TX salary details

$32.6K

$79.4K

$130.6K

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

As of Jul 16, 2026, the average yearly pay for afternoon data analyst r programming in Irving, TX is $79,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $93,100.00 per year, depending on experience, location, and employer.

What is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Irving, TX? For Afternoon Data Analyst R Programming jobs in Irving, TX, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Irving, TX look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Irving, TX are:
What cities near Irving, TX are hiring for Afternoon Data Analyst R Programming jobs? Cities near Irving, TX with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Lead Data Analyst

Lead Data Analyst

The Texas A&M University System

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 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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