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Afternoon Data Analyst R Programming Jobs in Alabama

The role involves using tools like Python, R, and SQL for data analysis, as well as performing data integration and statistical analysis to derive insights from data. Responsibilities : • ...

Senior Data Analyst

Huntsville, AL · On-site

$80K - $101K/yr

Data Analyst (Huntsville Alabama) At B&A, we foster and embrace a distinct set of values that we ... Must have strong technical skills in areas such as statistics, programming languages like R or ...

Data Management Analyst

Huntsville, AL · On-site

$120 - $135/hr

... R, or Microsoft Power Query. * Subject Matter Expert in SQL and VBA programming for process ... Microsoft Power BI Data Analyst certification. Job Location Redstone Arsenal, Alabama Physical ...

Data Analyst, Mid

Huntsville, AL · On-site

$61K - $141K/yr

As data analyst, you love diving into data and turning it into meaningful insights. With the ... Knowledge of statistical scripting such as Python or R * Knowledge of data pipelines and ...

Working knowledge of at least one major programming language (e.g., Python, C#, Java, or Scala) required. * Proficiency with statistical analysis and data visualization tools (e.g., Tableau, Power BI ...

Working knowledge of at least one major programming language (e.g., Python, C#, Java, or Scala) required. * Proficiency with statistical analysis and data visualization tools (e.g., Tableau, Power BI ...

Preferred SkillsExperience with SQL, Excel, Tableau, Power BI, R, or similar tools. Knowledge of statistical analysis techniques. Experience supporting data quality, reporting automation, or system ...

Responsibilities : • Develop and automate data workflows for analysis and reporting. • Collaborate with researchers, engineers, and industry partners to solve complex data problems. • Analyze ...

Preferred SkillsExperience with SQL, Excel, Tableau, Power BI, R, or similar tools. Knowledge of statistical analysis techniques. Experience supporting data quality, reporting automation, or system ...

This role utilizes various analytical and programming skills to develop BI solutions and supports ... Python, R, or other statistics platform preferred. • Professional presence with excellent ...

Showing results 41-60

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 the most commonly searched types of Data Analyst R Programming jobs in Alabama?

The most popular types of Data Analyst R Programming jobs in Alabama are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Alabama?

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

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

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

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

Cities in Alabama with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Analyst - Army Supply Chain Analytics (SCOS)

Axyde Analytics

Huntsville, AL • On-site

$89K - $112K/yr

Full-time

Posted 10 days ago


Job description

SENIOR DATA ANALYST - ARMY SUPPLY CHAIN ANALYTICS (SCOS)
Location: Redstone Arsenal / Huntsville, Alabama (on site)
Employment: Full time; contingent upon contract award
Solicitation: W31P4Q-26-R-A002
Axyde Analytics is recruiting a Senior Data Analyst to lead data analytics and modeling for our proposed SCOS program. This key-personnel position will oversee descriptive, diagnostic, predictive, and prescriptive analytical products supporting Army aviation and missile-system supply chains.
KEY RESPONSIBILITIES
•Lead advanced data analytics, modeling, and visualization and mentor junior analysts.
•Collect, clean, integrate, and analyze structured and unstructured supply-chain data from authorized sources.
•Apply data mining, statistical analysis, trend analysis, causal analysis, machine learning, and quality-control methods.
•Analyze MRP adherence, forecast accuracy, supply availability, excess inventory, demand, receipts, issues, and other enterprise metrics.
•Produce traceable recommendations, reports, briefings, and monthly analytical products for operational leaders.
•Document sources, transformations, assumptions, exceptions, model limitations, validation, and peer review.
MINIMUM QUALIFICATIONS
•Bachelor's degree in Data Science, Operations Research, Statistics, Analytics, or a related field.
•At least 7 years of analytics experience.
•At least 3 years of supply-chain analytics experience.
•Demonstrated skill in data mining, statistical modeling, machine learning, and Tableau or Power BI.
•Strong analytical writing, visualization, briefing, and team-leadership skills.
•Ability to work full time on site at Redstone Arsenal.
PREFERRED QUALIFICATIONS
•Army, AMCOM, aviation, missile, wholesale-supply, LMP, or operations-research experience.
•SQL, Python or R, Excel, and controlled model-development experience.
•Active Secret clearance.
SECURITY AND EMPLOYMENT CONDITIONS
All SCOS personnel must have or be eligible to obtain and maintain a Secret clearance for the duration of the contract. Before performing classified work or charging labor requiring classified access, personnel must satisfy applicable Government eligibility, access, investigation, training, and site-access requirements. U.S. citizenship is required where necessary for clearance eligibility. Employment is contingent upon contract award, completion of Axyde's hiring process, and satisfaction of all Government security and access requirements. This posting is not a guarantee of employment or clearance sponsorship.
TO APPLY
Submit a current résumé addressing the stated qualifications, clearance status or eligibility, Redstone on-site availability, and earliest availability. Compensation will be competitive and commensurate with qualifications.
Axyde Analytics is an equal opportunity employer. Employment decisions are based on qualifications, merit, and business need without unlawful discrimination.