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R Programming Jobs in Memphis, TN (NOW HIRING)

Quality Engineer I - Memphis, TN

Memphis, TN · On-site

$69K - $90K/yr

As a Quality Engineer I at Medtronic, you will champion our commitment to continuous improvement ... F.R. § 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are ...

Quality Engineer I - Memphis, TN

Memphis, TN · On-site

$69K - $90K/yr

As a Quality Engineer I at Medtronic, you will champion our commitment to continuous improvement ... F.R. 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are intended ...

Quality Engineer I - Memphis, TN

Memphis, TN · On-site

$69K - $90K/yr

As a Quality Engineer I at Medtronic, you will champion our commitment to continuous improvement ... F.R. 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are intended ...

Systems Engineer Department: IT Work Location (s) : * Plano, TX (Dallas, TX) * Arlington, TN Hybrid Schedule: At Helen of Troy, we embrace a flexible hybrid work model designed to support ...

Must be proficient in programming either R/Python/Scala. * Should have experience in Financial services industry -Capital market would be preferable Qualifications * Bachelor's degree or foreign ...

Showing results 41-60

R Programming information

See Memphis, TN salary details

$71.4K

$110.7K

$134.8K

How much do r programming jobs pay per year?

As of Aug 22, 2026, the average yearly pay for r programming in Memphis, TN is $110,676.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $124,500.00 per year, depending on experience, location, and employer.

What is R programming?

R programming is an open-source language and environment primarily used for statistical computing, data analysis, and graphical representation of data. It is widely used by statisticians, data analysts, and researchers for tasks like data manipulation, statistical modeling, and creating visualizations. R has a rich ecosystem of packages and libraries that make it highly flexible for various data science applications. Its ability to handle large datasets and integrate with other programming languages makes it a popular choice in academia and industry. Additionally, R is supported by an active community, which continuously contributes new tools and resources.

What types of projects do R programming professionals typically work on within a team environment?

R Programming professionals often collaborate on projects involving data analysis, statistical modeling, and visualization. They usually work closely with data scientists, analysts, and subject matter experts to clean datasets, build predictive models, and generate insightful reports. The role requires effective communication to translate technical findings into actionable recommendations for non-technical stakeholders. Additionally, R programmers may participate in code reviews, contribute to package development, and help automate data pipelines, fostering a collaborative and learning-oriented work environment.

What are the key skills and qualifications needed to thrive as an R programmer, and why are they important?

To thrive as an R Programmer, you need strong proficiency in R programming, data analysis, and statistical modeling, often supported by a background in statistics, mathematics, or computer science. Familiarity with tools such as RStudio, version control systems like Git, and relevant packages (e.g., dplyr, ggplot2) is highly valued, along with certifications in data science or analytics. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating data insights into actionable solutions. These skills ensure accurate data analysis, efficient workflow, and clear communication of results to technical and non-technical stakeholders.

What is the difference between R Programming vs Data Analyst?

AspectR ProgrammingData Analyst
Required skillsStatistical analysis, coding in R, data visualizationData manipulation, reporting, basic statistical skills
Work environmentData science teams, research labs, analytics departmentsBusiness, finance, marketing, healthcare sectors
Tools usedR, RStudio, packages like ggplot2, dplyrExcel, SQL, Tableau, R (sometimes)

R Programming is a specialized skill focusing on statistical computing and data visualization, often used by data scientists and statisticians. Data Analysts utilize a broader set of tools and skills to interpret data for business insights. While R Programming is essential for advanced analysis, Data Analysts often combine R with other tools to deliver reports and dashboards.

Are R programming in demand?

R programming is in high demand in data analysis, statistics, and data science roles across various industries. Professionals skilled in R, along with knowledge of data visualization and statistical modeling, are sought after for tasks involving data-driven decision making and research. The demand is expected to grow as organizations increasingly rely on data analysis tools.

What careers use R programming?

R programming is widely used in data analysis, statistics, and data science roles such as data analyst, data scientist, and biostatistician. Professionals in finance, healthcare, research, and academia also use R for data visualization, modeling, and reporting tasks, often requiring knowledge of statistical concepts and data manipulation tools.

What are popular job titles related to R Programming jobs in Memphis, TN?

For R Programming jobs in Memphis, TN, the most frequently searched job titles are:

What job categories do people searching R Programming jobs in Memphis, TN look for?

The top searched job categories for R Programming jobs in Memphis, TN are:

What cities near Memphis, TN are hiring for R Programming jobs?

Cities near Memphis, TN with the most R Programming job openings:

Infographic showing various R Programming job openings in Memphis, TN as of August 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $110,676 per year, or $53.2 per hour.

Data Analyst - Physical Infrastructure

SpaceXAI

Memphis, TN

Full-time

Re-posted 3 days ago


SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 149 frontline employees who took The Breakroom Quiz

17th of 72 rated aerospace companies


Job description

ABOUT THE ROLE:

We are seeking a Data Analyst to join SpaceXAI's Infrastructure team responsible for building and operating world-class datacenters and power generation facilities. In this role, you will analyze power and cooling performance data, develop forecasts for utility consumption and costs, build and maintain business analytics dashboards, and deliver data-driven insights to optimize our rapidly expanding physical infrastructure for AI supercomputing.

RESPONSIBILITIES:
  • Collect, clean, integrate, and analyze high-volume power, cooling, and energy usage data from datacenter facilities and power plants
  • Build and refine forecasting models for electricity, water, and other utility consumption to support budgeting, planning, and procurement
  • Design, develop, and maintain interactive business intelligence dashboards and reports (using tools such as Seeq, Tableau, Power BI, Looker, or similar)
  • Identify trends, anomalies, inefficiencies, and optimization opportunities in power distribution and cooling systems
  • Partner with mechanical, electrical, and facilities engineering teams to translate analytical findings into engineering and operational improvements
  • Support infrastructure expansion planning through scenario analysis, capacity modeling, and cost projections
  • Automate data collection pipelines and reporting processes to enable real-time visibility and decision making
  • Present clear, actionable insights and recommendations to cross-functional teams and leadership
BASIC QUALIFICATIONS:
  • 4+ years of professional experience in data analysis, business intelligence, or analytics engineering
  • Strong SQL skills and proficiency in Python (pandas, scikit-learn, or similar) or R for data analysis and modeling
  • Hands-on experience building dashboards and visualizations with Tableau, Power BI, Looker, or equivalent
  • Solid foundation in statistics, time-series analysis, and forecasting techniques
  • Experience working with large datasets and building scalable reporting solutions
  • Excellent written and verbal communication skills
PREFERRED SKILLS AND EXPERIENCE:
  • Background in energy, utilities, datacenters, critical infrastructure, or industrial facilities
  • Familiarity with SCADA systems, building management systems (BMS), or IoT sensor data
  • Experience with cloud data platforms (Snowflake, BigQuery, AWS/GCP/Azure data services)
  • Knowledge of power systems, HVAC/cooling efficiency metrics (PUE, WUE, etc.), or energy modeling
  • Advanced degree in Data Science, Statistics, Engineering, Operations Research, or related quantitative field

What SpaceX employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US