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Afternoon Data Analyst R Programming Jobs in Alamo, TX

At MDC Data Centers, we're looking for a service-driven, detail-oriented individual to join our ... Work hand-in-hand with cross-functional teams - including Sales Engineers and Network Operations ...

Technical Analyst

Harlingen, TX · On-site

$65K/yr

This role focuses on connecting platforms, streamlining workflows, improving data quality, and ... Participate in workflow re-engineering and process optimization initiatives. * Document technical ...

This role focuses on connecting platforms, streamlining workflows, improving data quality, and ... Participate in workflow re-engineering and process optimization initiatives. * Document technical ...

Director of Biostatistics

Mcallen, TX · Remote

$60 - $65/hr

... data strategies under ICH E9(R1). * Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications. * Ability to interpret SAPs and ensure reported ...

... data strategies under ICH E9(R1). * Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications. * Ability to interpret SAPs and ensure reported ...

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 Sep 11, 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Alamo, TX look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Alamo, TX are:

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.

Engineering Analyst, NERC Compliance - Constellation

Edinburg, TX • On-site

$100 - $125/hr

Other

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Engineering Analyst, NERC Compliance at Constellation.

Key technologies: Software Development, System Design, Problem Solving.

Key Responsibilities
  • Design, develop and maintain scalable software systems
  • Write clean, well-tested and documented code
  • Participate in code reviews and contribute to engineering best practices
  • Collaborate with product and design teams to deliver features
Requirements
  • 3+ years of relevant experience in software engineer
  • Experience with software design patterns and architecture
  • Solid understanding of data structures and algorithms
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