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Afternoon Data Analyst R Programming Jobs in Mississippi

Accord Technologies Inc.

R-Programmer

Jackson, MS ยท On-site

The contractor must have hands-on R programming knowledge; statistical background and understanding ... Advanced proficiency in R (statistical modeling, data manipulation, scripting, reproducible ...

DHL

Sr Business Data Analyst

Olive Branch, MS ยท 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

$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 ...

ECS

MetOcean Data Analyst I

MS ยท On-site

Everforth ECS is seeking an entry level MetOcean Data Analyst I to work onsite at Stennis Space ... Some experience with scientific programming and analysis tools. * Experience with Microsoft Excel ...

Varsity Tutors

Data Science Tutor

Starkville, MS ยท 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 ...

odc

Senior Production Planning Data Analyst

Blue Mountain, MS ยท On-site

$78K - $98K/yr

Bachelor's degree in supply chain management, Business Analytics, Industrial Engineering, or a ... Proficiency in data analysis tools such as Excel, SQL, Power BI, or Tableau. * Strong understanding ...

ABB

Operations Analyst Specialist

Senatobia, MS ยท 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 ยท 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 ...

Koniag, Inc.

Data Scientist

Stennis Space Center, MS ยท On-site

Python, R, or similar programming languages * Machine learning frameworks (scikit-learn, TensorFlow, PyTorch) * Statistical analysis and modeling * Data visualization tools (Matplotlib, Seaborn ...

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Afternoon Data Analyst R Programming information

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 Mississippi?

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

What job categories do people searching Afternoon Data Analyst R Programming jobs in Mississippi look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Mississippi are:

What cities in Mississippi are hiring for Afternoon Data Analyst R Programming jobs?

Cities in Mississippi 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 Mississippi as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

R-Programmer

Accord Technologies Inc.

Jackson, MS โ€ข On-site

Contractor

Re-posted 5 days ago

Job description

Title: R-Programmer
Contract Start: Immediate
Contract 14 months
Position type: Contract.
 
Job Requirement:
  • This project is to assist the agency with federal reporting requirements.
  • Current coding processes and reporting cannot be validated.
  • The coding and reporting requirements will have to be rewritten using current industry standards, with business rules and revisions documented for the agency. 
  • This position is that of an individual contributor, a quantitative analyst role with responsibility for researching, developing, and maintaining statistical reporting models in R.
  • The contractor must have hands-on R programming knowledge; statistical background and understanding 
  • Ability to build and deliver robust statistical models 
  • Deliver high-quality documentation and presentations to support and maintain model and library use 
  • Able to interact with functional and technical consultants to ensure successful model building and deployment
  • Development and back testing
  • Deployment 
  • UAT 
  • Windows 7 
  • Windows 10 
  • R Langue 
  • R Studio 
  • SQL Manager 
  • SQL Langue 
  • R Development/Programming 
  • SQL 
  • ADABAS/Natural 
  • Agile 
  • Power BI 
  • Advanced proficiency in R (statistical modeling, data manipulation, scripting, reproducible reporting)
  • Experience developing and validating statistical reporting models 
  • Knowledge of federal reporting standards and regulatory compliance requirements
  • Ability to rewrite legacy coding processes using current industry standards
  • Documentation of business rules, methodologies, and revision history 
  • Data validation, quality assurance, and audit trail development 
  • Quantitative research and analytical problem-solving skills 
  • Ability to work independently as an individual contributor 
  • Communication skills (translating technical findings for non-technical stakeholders)
  • Version control, reproducibility practices, and structured model governance
  • Supervisory experience, WebLogic experience helpful, etc.
  • Able to work independently
  • Desired Career Level Education Level Bachelors