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Afternoon Data Analyst R Programming Jobs in Olive Branch, MS

Stifel

Data Analyst

Memphis, TN · On-site

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... Understands client/server computing architecture, user interfaces and application programing ...

Stifel

Data Analyst

Memphis, TN

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... Understands client/server computing architecture, user interfaces and application programing ...

Stifel

Data Analyst

Memphis, TN · On-site

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... Understands client/server computing architecture, user interfaces and application programing ...

DHL

Sr Business Data Analyst

Olive Branch, MS · 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

Olive Branch, MS · 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 ...

Terminix

Sr Data Analyst, Customer Insights

Memphis, TN · Remote

$94K - $122K/yr

Proficiency in SQL, Python or R * Experience with VoC and survey platforms (e.g., Qualtrics ... analyzing data, viewing computer screens or reading extensively. Incumbent will be subject to:

Varsity Tutors

Data Science Tutor

Memphis, TN · Remote

$18 - $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 ...

ABB

Operations Analyst Specialist

Senatobia, MS · On-site

Education & Experience Bachelor's degree in business analyst, Engineering Management, Data ... Python, R, SQL is plus Familiarity with Manufacturing Execution Systems (MES) or production ...

ABB

Operations Analyst Specialist

Senatobia, MS · On-site

Education & Experience Bachelor's degree in business analyst, Engineering Management, Data ... Python, R, SQL is plus Familiarity with Manufacturing Execution Systems (MES) or production ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Olive Branch, MS

Afternoon Data Analyst R Programming information

See Olive Branch, MS salary details

$30.5K

$74.1K

$122K

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

As of Aug 31, 2026, the average yearly pay for afternoon data analyst r programming in Olive Branch, MS is $74,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,100.00 and $87,000.00 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 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 are popular job titles related to Afternoon Data Analyst R Programming jobs in Olive Branch, MS?

For Afternoon Data Analyst R Programming jobs in Olive Branch, MS, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Olive Branch, MS look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Olive Branch, MS are:

What cities near Olive Branch, MS are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Olive Branch, MS 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 Olive Branch, MS as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $74,126 per year, or $35.6 per hour.

Data Analyst - Physical Infrastructure

SpaceXAI

Memphis, TN • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 150 frontline employees who took The Breakroom Quiz

16th 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

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