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Afternoon Data Analyst R Programming Jobs in Memphis, TN

xAI

Data Analyst - Physical Infrastructure

Memphis, TN · On-site

... 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 ...

Rentokil

Sr Data Analyst, Marketing

Memphis, TN · Remote

$94.10K - $122.30K/yr

Proficiency in data analysis tools (e.g., SQL, Python, R) * Experience with data visualization tools (e.g., Power BI, Tableau) * Strong understanding of digital marketing channels (e.g., SEO, SEM, ...

Federal Express Corporation

Sr. Data Analyst

Memphis, TN · Hybrid

$76.80K - $96.80K/yr

Typically uses data, statistical and quantitative analysis, limited modeling, and fact-based ... engineering, operations research, economics or Finance plus 5 years of experience in the job ...

Rentokil

Data Analyst, Digital Marketing

Memphis, TN · Remote

$70.70K - $92K/yr

You are responsible for analyzing performance data to identify trends that drive Marketing ... Proficiency in SQL, Python or R and experience with visualization tools (e.g., Power BI, Tableau ...

Varsity Tutors

Data Science Tutor

Memphis, TN · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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$33K

$80.3K

$132.1K

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

As of May 29, 2026, the average yearly pay for afternoon data analyst r programming in Memphis, TN is $80,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $94,200.00 per year, depending on experience, location, and employer.

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 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 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.

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

Data Analyst - Physical Infrastructure

xAI

Memphis, TN • On-site

Other

Posted 8 days ago

Job description

ABOUT THE ROLE:

We are seeking a Data Analyst to join xAI'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

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