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Afternoon Data Analyst R Programming Jobs in Laredo, TX

Software Developer

Laredo, TX · Remote

$40 - $75/hr

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

Software Engineer

Laredo, TX · Remote

$40 - $75/hr

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

Back End Developer

Laredo, TX · Remote

$40 - $75/hr

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

Application Developer

Laredo, TX · Remote

$40 - $75/hr

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

Backend Developer

Laredo, TX · Remote

$40 - $75/hr

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

Frontend Engineer

Laredo, TX · Remote

$40 - $75/hr

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

Staff Software Engineer

Laredo, TX · Remote

$40 - $75/hr

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

Full Stack Developer

Laredo, TX · Remote

$40 - $75/hr

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

Full Stack Engineer

Laredo, TX · Remote

$40 - $75/hr

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

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Afternoon Data Analyst R Programming information

See Laredo, TX salary details

$29.8K

$72.5K

$119.4K

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

As of Jun 10, 2026, the average yearly pay for afternoon data analyst r programming in Laredo, TX is $72,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,900.00 and $85,100.00 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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 the most commonly searched types of Data Analyst R Programming jobs in Laredo, TX? The most popular types of Data Analyst R Programming jobs in Laredo, TX are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Laredo, TX? For Afternoon Data Analyst R Programming jobs in Laredo, TX, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Laredo, TX look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Laredo, TX are:
What cities near Laredo, TX are hiring for Afternoon Data Analyst R Programming jobs? Cities near Laredo, TX with the most Afternoon Data Analyst R Programming job openings:
Director, Institutional Research

Full-time

Posted 21 days ago


Texas A&M International University rating

7.2

Company rating: 7.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

334th of 535 rated colleges and universities


Job description

Job Title

Director, Institutional Research

Agency

Texas A&M International University

Department

Office of the Provost & VP for Academic Affairs

Proposed Minimum Salary

Commensurate

Job Location

Laredo, Texas

Job Type

Staff

Job Description

Job Summary

The Director of Institutional Research, under general direction, develops, manages, and coordinates Institutional Research operations. Collaborates with faculty and staff to compile, analyze, and report a wide range of institutional data, which includes institutional characteristics, enrollments, and student achievements.

Essential Duties and Responsibilities

  • Ensures that information is collected and official reports are produced in a timely manner to maintain compliance with Federal, State, System, and University reporting requirements.

  • Oversees the design, development, and maintenance of online databases as well as the composite information system storing archival information for retrieval to enhance reporting.

  • Develops technologically driven enhancements for providing internal constituents with access to data and information for decision-making.

  • Manages daily activities of the department concerning recruiting and selection, hiring and terminating, training, professional development, mentoring, counseling, and performance evaluations.

  • Analyzes University data and prepares reports and executive summaries.

  • Administers the budget and oversees the fiscal operations of assigned department.

This document represents the major duties, responsibilities, and authorities of this job, and is not intended to be a complete list of all tasks and functions. Other duties may be assigned.

Minimum Requirements

  • Education - Master's degree in a field emphasizing data analysis, research methods, statistics, or higher education from an accredited institution.

  • Experience - Ten years of related experience.

  • An equivalent combination of education and experience may be considered.

Preferred Education and Experience

  • Doctorate (Ph.D., Ed.D., or D.A.) in research, statistics, data science, information systems, educational research, higher education administration, or related fields emphasizing data analysis.

  • 5+ years related experience including a minimum of 3 years working in a supervisory role or leadership role.

  • Demonstrated experience working with Microsoft Power BI, Tableau, or similar visualization tools.

  • Demonstrated experience working with Banner or or SIS systems.

  • Demonstrated experience developing a data warehouse (Oracle platform)

  • Demonstrated experience completing reports to state-level coordinator board.

  • Knowledge of IPEDS, THECB reporting, SACSCOC accreditation standards, and data governance principles.

Knowledge and Abilities

Knowledge of:

  • Word processing, spreadsheet, and database applications.

  • University processes and procedures.

  • Applied statistical methods and packages, as well as survey analyses.

Ability to:

  • Multitask and work cooperatively with others.

  • Strong verbal and written communication skills.

  • Strong interpersonal and organizational skills.

  • Effective leadership and management skills.

Preferred Knowledge and Abilities

  • Demonstrated knowledge of SQL, SPSS, SAS, R, or Python for statistical analysis.

Licensing / Professional Certification - None

Physical Requirements - None.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Supervision of Others

This position generally supervises employees.

Other Requirements

  • Evening and weekend work may be required.

  • Availability for occasional travel.

  • Position requires on campus, face-to-face interactions.

  • Position requires maintaining a regular schedule of attendance of attendance on campus and in the workplace.

INSTRUCTIONS TO APPLICANT: During the application process you have only one opportunity to enter the requested information, upload documents and Submit the application. You will not be able to make changes or add additional documents once you "Submit" the application materials. The software does not allow you to "Save" your application and return to complete the process at a later time. The page "My Experience" has an area provided under Resume/CV to drop or upload files. Be sure to include:

  • Resume

  • Cover Letter

  • 3 -5 professional references and their full contact information

  • Unofficial transcripts

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.