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Afternoon Data Analyst R Programming Jobs in Alamo, TX

Communicate with customers to ensure they are equipped with the required data interfaces, including ... Lead programmers and a functional team in business systems related projects. * Consults and ...

... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources ... programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong ...

... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources ... programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong ...

... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources ... programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong ...

Business Analytics Tutor

Edinburg, TX ยท Remote

$18 - $40/hr

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

Analyze lab data, operator reports, and chemical usage to resolve operational issues and improve ... Professional Engineer Licensed required (PE) or the ability to obtain in 6-12 months * 8 + years of ...

Showing results 21-40

Afternoon Data Analyst R Programming information

See Alamo, TX salary details

$24.7K

$60.1K

$98.8K

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

As of Aug 20, 2026, the average yearly pay for afternoon data analyst r programming in Alamo, TX is $60,065.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,400.00 and $70,500.00 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 the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

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 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 cities near Alamo, TX are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Alamo, TX with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Alamo, TX as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $60,065 per year, or $28.9 per hour.

Analyst-Business

ALPS ALPINE

Mcallen, TX โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

ESSENTIAL FUNCTIONS
  • Maintain and enhance SAP SD system. Develop, coordinate and implement improvements in Sales and Distribution.
  • Maintain and enhance Sales system, integrate SAP system with external systems.
  • Communicate with customers to ensure they are equipped with the required data interfaces, including but not limited to EDI.
  • Analyzes sales, inventory control, distribution, cost analysis, finance, marketing and other business functions to develop new or modified information processing systems.
  • Consults with business unit management and personnel to identify and document business needs and objectives, current operational procedures, problems, input and output requirements, data scope, usage, formatting, and security requirements.
  • Provides technical assistance in identifying, evaluating and developing systems and procedures.
  • Writes and maintains functional specifications for new or modified business processes.
  • Lead programmers and a functional team in business systems related projects.
  • Consults and coordinates with programmers to design and develop business processes.
  • Develops, coordinates, and implements plans to test business and functional processes during system development and quality assurance testing.
  • Consults with business unit management and personnel to obtain additional information during system development and evaluate alternatives.
  • Research and recommend system solutions, including custom application or other industry solutions
  • Communicates and collaborates with technical team and business users as needed when developing/implementing/supporting system solutions
  • Analyzes integration, cost analysis, finance, marketing and other business functions in order to develop new or modified information processing systems
  • Writes and maintains functional manuals for new or modified business processes
  • Provide support toward the certification and ensure compliance with the customer required quality management systems (TISAX, TS16949, IATF, etc.)
  • Positions that fall under the functions of Product Development, Legal, HR, IT and Executive Management are required to exercise a higher level of confidentiality and discretion in handling information the positions have access to.

NON-ESSENTIONAL FUNCTIONS
  • Other duties as assigned.

SUPERVISION RECEIVED
Supervision is typically received from a management member.
SUPERVISION ADMINISTERED
This position typically does not require the supervision of others
QUALIFICATIONS
EDUCATION/EXPERIENCE AND/OR TRAINING
    • Experience in automotive manufacturing is strongly preferred.
    • Bachelor's degree in computer science, Information Technology, or a related field (or equivalent experience of 10 years supporting SAP and an Associate's Degree in Computer Science, Information Technology, or Management Information Systems.)
    • 5 years of Experience in SAP ECC6 SD (Sales and Distribution), and MM (Materials Management) configuration, and analysis.
    • Experience with system installation, configuration, and analysis.
    • Knowledge of networks and cloud computing.
    • Understanding of software application development, ability to support system applications in development, design and deployment.
    • IT budgeting and cost management experience.

LICENSES OR CERTIFICATIONS
Valid U.S. driver's license required
  • PMP and ITIL Certifications, desired
  • TOOLS AND EQUIPMENT:
    • General office equipment includes, but not limited to, a computer, printer, photocopier, shredder, telephone, fax machine, and calculator.

KNOWLEDGE, SKILLS, AND ABILITIES
PROBLEM-SOLVING SKILLS
  • The ability to identify and solve complex technical problems and break them down into smaller components.
  • Ability to think creatively and come up with innovative solutions.
  • Meticulous attention to detail in writing code and following best practices.
  • Ability to persevere through challenges and setbacks.
  • VERBAL COMMUNICATION SKILLS
  • Use verbal skills to transfer information to groups.
  • WRITTEN COMMUNICATION SKILLS
  • Prepare business documents, client case notes, and technical reports.
  • MATH SKILLS
  • Perform basic mathematical computations.

COMPUTER SKILLS
  • Database / Contact Management Software
  • Internet / Email
  • Presentation Software
  • Spreadsheet Software
  • Word Processing Software

Mental Demands typically required.
  • Concentration and attentiveness
  • Manage multiple projects and tasks
  • Independent judgment and discretion
  • Deescalate high conflict situations
  • Read and comprehend instructions/work orders
  • Respond to unpredictability
  • Organize and prioritize
  • Relate to others

PHYSICAL DEMANDS typically required
FREQUENTLY INCURRED (between 26% and 75% time on job)
  • Ability to stand
  • Ability to sit
  • Ability to communicate orally
  • Ability to hear and engage in conversation.

OCCASIONALLY INCURRED (up to 25% time on job)
Ability to walk
  • Repetitive finger movement
  • Ability to use both hands
  • Repetitive twisting or pressure involving wrists or hands

WORKING CONDITIONS typically required
FREQUENTLY INCURRED (Average 10% time on job)
-Travel with overnight stays
PERSONAL PROTECTIVE EQUIPMENT
This position typically does not require the use of personal protective equipment. Employees may be required to wear personal protective equipment (PPE), including safety glasses or work gloves, when performing specific tasks in certain work conditions or environments.
To perform this job successfully, an individual must be able to perform each essential function satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
Summary of Benefits and EEO statement
Alps Alpine NA, Inc. offers competitive salaries with a great work environment. Our comprehensive employee benefits package includes:
PPO Health Benefits (medical/dental/vision) Effective on Start Date
  • 401(k) Retirement Plan with Company Match
  • Opportunity for Annual Bonuses
  • Generous PTO and Holiday Schedule
  • Flexible Spending Accounts
  • Employee Assistance Program
  • Employee Product Purchase Discounts
  • Wellness Reimbursement Program
  • Life, AD&D, Short and Long-Term Disability Insurances
  • Hybrid Work Location (3 Office :2 Home)

Alps Alpine NA, Inc. values its members as individuals and is committed to forming an energetic and attractive company where the quality of work is enhanced.
Alps Alpine North America, Inc. is an Equal Opportunity Employer. It is the policy of Alps Alpine NA, Inc. to consider all job applications on the basis of merit without regard to race, color, religion, gender, pregnancy, age, national origin, ancestry, marital status, veteran status, disability, medical condition, sexual orientation, or any other protected characteristic.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.