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Afternoon Data Analyst R Programming Jobs in Dallas, TX

Loopback LLC

RWD Data Analyst

Dallas, TX · On-site

Data Analysis & Solution Development * Analyze Loopback's large-scale healthcare data warehouse ... Exposure to SQL and at least one scripting/statistical language (Python, R). * Exceptional problem ...

Loopback LLC

RWD Data Analyst

Dallas, TX · On-site

$25 - $35/hr

Data Analysis & Solution Development * Analyze Loopback's large-scale healthcare data warehouse ... Exposure to SQL and at least one scripting/statistical language (Python, R). * Exceptional problem ...

kgs

Data Analyst I

Dallas, TX · On-site +1

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools * Conduct basic and complex statistical analyses to identify trends, patterns, and insights across ...

New

360 IT Professionals

Data Analyst

Irving, TX

We use Objective C and Swift programming languages to create native applications for iPhone ... Position: Data Analyst Location: Irving, TX Duration: 6+ Months Only Local Candidates as F2F ...

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 ...

DPDHL

Sr Business Data Analyst

Northlake, TX

$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 ...

Canada Solar Inc.

Production Data Analyst

Mesquite, TX · On-site

Required : • Bachelor's degree in following disciplines, Engineering, Business, Data Science, Statistics, or related field. • 1-3 years of experience in data analysis, preferably within a ...

New

Ascentt

Manufacturing Data Analyst

Plano, TX · On-site

Our team solves hard engineering problems at scale, with real-world industry impact. We're hiring ... Map and analyze plant operations, shop floor, and production data * Conduct current-state ...

Canadian Solar

Production Data Analyst

Mesquite, TX · On-site

Collaborate with production, quality control, and engineering teams to identify and resolve data ... Conduct root cause analysis for production-related issues and assist in recommending corrective ...

Canadian Solar

Production Data Analyst

Mesquite, TX · On-site +1

Collaborate with production, quality control, and engineering teams to identify and resolve data ... Conduct root cause analysis for production-related issues and assist in recommending corrective ...

New

RightNow Media

Data Analyst- Remote

Mckinney, TX · On-site +1

The Data Analyst reports to the Director of Data Strategy & Management and works closely with Data Platform, Analytics Engineering, and business stakeholders across RightNow Media. Schedule ...

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

Afternoon Data Analyst R Programming information

See Dallas, TX salary details

$33.6K

$81.8K

$134.5K

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

As of Jun 13, 2026, the average yearly pay for afternoon data analyst r programming in Dallas, TX is $81,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $96,000.00 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 the most commonly searched types of Data Analyst R Programming jobs in Dallas, TX? The most popular types of Data Analyst R Programming jobs in Dallas, TX are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Dallas, TX? For Afternoon Data Analyst R Programming jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Dallas, TX look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Afternoon Data Analyst R Programming jobs? Cities near Dallas, TX with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Dallas, TX as of June 2026, with employment types broken down into 18% Internship, 64% Full Time, 6% Part Time, and 12% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $81,750 per year, or $39.3 per hour.

RWD Data Analyst

Loopback LLC

Dallas, TX • On-site

Full-time

Posted 8 days ago

Job description

This employer will not sponsor applicants for employment visa status (e.g., H1-B) for this position. All applicants must be currently authorized to work in the United States on a full-time basis.

Role Summary

Loopback Health is hiring an innovative and team-oriented RWD Data Analyst who will work closely with Loopback Real World Data and Data Operations teams. This position will give exposure to how healthcare data is used to support clinical research across various Life Sciences stakeholders, including pharmaceuticals, medical device, and regulatory functions.


Key Responsibilities:

Data Analysis & Solution Development

  • Analyze Loopback's large-scale healthcare data warehouse (claims, EHR, pharmacy, etc.) to support answering clinical research feasibility questions across various therapy areas.
  • Assist in developing reporting tools that help non-technical stakeholders understand the data asset.
  • Synthesize and communicate analytical findings to team members.

Cross-Functional Collaboration & Continuous Improvement

  • Collaborate with Sales, Client Success, Product, and Operations teams to improve data quality, documentation, and product features.
  • Gather and document customer feedback to inform future data product development.



Qualifications

Required:

  • Bachelor's degree (completed or working towards) in a quantitative or life sciences field (e.g., Statistics, Bioinformatics, Epidemiology, Computer Science, Pharmacy, Public Health, or related).
  • Exposure to SQL and at least one scripting/statistical language (Python, R).
  • Exceptional problem-solving skills with the ability to break down ambiguous client questions into actionable analyses.
  • Strong communication skills, both verbal and written, with an ability to explain complex data concepts to non-technical audiences.
  • Comfortable working in a fast-paced, cross-functional team environment.

Soft Skills

  • Data-driven and analytically rigorous, with a focus on delivering client value.
  • Creative, resourceful, and comfortable with ambiguity.
  • Strong collaborator who thrives in a team-oriented, rapidly evolving environment.
  • Interest in using AI-assisted tools for data analysis, coding, or workflow efficiency


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.

Apply