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Afternoon Data Analyst R Programming Jobs in Alabama

Cintel Inc.

Data Analyst - Mid

Huntsville, AL · On-site

Utilize Python/R for Statistical scripting. * Support continuous improvement initiatives related to ... Engineers, Analysts, and Developers at Cintel, Inc. are highly motivated, technical, and self ...

Cintel Inc.

Data Analyst - Mid

Huntsville, AL · On-site

Utilize Python/R for Statistical scripting. * Support continuous improvement initiatives related to ... Engineers, Analysts, and Developers at Cintel, Inc. are highly motivated, technical, and self ...

Cintel, Inc.

Data Analyst - Mid

Huntsville, AL · On-site

Utilize Python/R for Statistical scripting. * Support continuous improvement initiatives related to ... Engineers, Analysts, and Developers at Cintel, Inc. are highly motivated, technical, and ...

4P Consulting Inc.

Data Analyst 2

Birmingham, AL · On-site

Responsibilities : • 3-5 Years Proficient in using tools like Python, R, SQL, and data ... Engineering industry, IT, Admin, Accounting, Advertising . Founded in 2012, the company is ...

Cintel Inc

Data Analyst - Mid

Huntsville, AL · On-site

Utilize Python/R for Statistical scripting. * Support continuous improvement initiatives related to ... Engineers, Analysts, and Developers at Cintel, Inc. are highly motivated, technical, and ...

Guidehouse

Data Analyst

Huntsville, AL

Guidehouse is seeking a Data Analyst who will provide data solutions (analysis, data engineering ... Proficiency in programming languages such as Python or R * Experience with Palantir Foundry

Navigant Consulting

Data Analyst

Huntsville, AL · On-site

Guidehouse is seeking a Data Analyst who will provide data solutions (analysis, data engineering ... Proficiency in programming languages such as Python or R * Experience with Palantir Foundry

Guidehouse

Data Analyst

Huntsville, AL · On-site

Guidehouse is seeking a Data Analyst who will provide data solutions (analysis, data engineering ... Proficiency in programming languages such as Python or R * Experience with Palantir Foundry

Guidehouse

Data Analyst

Huntsville, AL · On-site

Guidehouse is seeking a Data Analyst who will provide data solutions (analysis, data engineering ... Proficiency in programming languages such as Python or R * Experience with Palantir Foundry

TMC Technologies

Data Analyst - Mid

Huntsville, AL · On-site

... engineering tasks to deliver an advanced visual analytic application to include: developing data ... Scripting such as Python/R Knowledge of Data Pipelines & Warehousing (ETL/ELT) Preferred ...

Capital Staffing Solutions

Data Analyst

Birmingham, AL · On-site

1-3 Years Proficient in using tools like Python, R, SQL, and data visualization libraries (e.g., Matplotlib, Seaborn, Tableau) to analyze and present data insights effectively. Data Integration and ...

New

Leidos

Data Analyst

Huntsville, AL · On-site

... Data Analyst to function full-time within the Advanced Sensors and Protective Technologies ... You will join a diverse team of software developers, engineers, and scientists to help create ...

Leidos

Data Analyst

Huntsville, AL

... Data Analyst to function full-time within the Advanced Sensors and Protective Technologies ... You will join a diverse team of software developers, engineers, and scientists to help create ...

4P Consulting Inc.

Data Analyst 2

Birmingham, AL · On-site

Job Title :: Data Analyst 2 Location :: Birmingham, AL 35203(Onsite) Contract :: 6-Months Skills and Responsibilities · 3-5 Years Proficient in using tools like Python, R, SQL, and data ...

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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 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 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 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:

Afternoon Data Analyst R Programming jobs near you
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.

Data Analyst - Mid

Cintel Inc.

Huntsville, AL • On-site

Full-time

Posted 10 days ago

Job description

Position Title: Data Analyst Mid
Location: Huntsville, AL
Position Type: Full-Time
Clearance: Top Secret Required
Position Overview:
We are seeking a Data Analyst Mid to support mission-focused programs in Huntsville. The ideal candidate will have strong experience performing data analysis, developing reporting solutions, and working directly with technical and functional teams to gather and define data requirements. The Data Analyst Mid will support data-driven decision making through analysis, visualization, documentation, and reporting activities in secure environments.
Responsibilities:
  • Develop and maintain dashboards, reports, and visualizations using PowerBI.
  • Extract, manipulate, and analyze data using SQL.
  • Work independently with cross-functional teams to gather, define, and document data analysis requirements.
  • Create and maintain data documentation, data dictionaries, and analytical procedures.
  • Utilize Python/R for Statistical scripting.
  • Support continuous improvement initiatives related to data processes and reporting capabilities.
  • Develop data analytics for desktop and web-developed visual analytic software.
  • Facilitate the bulk analysis of relational information utilizing advanced graphics, visualization, and high-performance computing.
  • Use the specified open source, COTS, and GOTS technologies when needed.
  • Establish an application that produces manageable, actionable intelligence from streams of a structured and semi-structured data.
  • Design strategies for enterprise database systems and set standards for operations, programming, and security.
  • Design and construct large relational databases.
  • Integrate new systems with existing warehouse structure and refine system performance and functionality.

Required Qualifications:
  • Active Top Secret (TS) security clearance.
  • Bachelor's degree in Data Analytics, Computer Science, Information Systems, Mathematics, or related field (or equivalent experience).
  • Five (5)+ years of relevant experience.
  • Experience with Python and SQL for data analysis and reporting.
  • Experience developing dashboards and reports using PowerBI.
  • Knowledge of Data Pipelines & Warehousing (ETL/ELT).
  • Knowledge of Statistical Scripting such as Python/R.
  • Knowledge of Advanced Data Querying such as SQL.

Desired Qualifications:
  • Experience with Data pipelines and data transformation.
  • Experience with Cribl.

CULTURE REQUIREMENTS:
  • Engineers, Analysts, and Developers at Cintel, Inc. are highly motivated, technical, and self-organized. We place a lot of trust in our team members to develop technical solutions for ill-defined problems (i.e. thrive in an environment where the problem is vague, requirements are lacking, and a solution is not obvious). We need problem solvers.
  • We want our team members to be self-motivated and eager to learn new skills. If you consider yourself a jack-of-all-trades, and are eager to keep up with the latest trends in technology, you'll fit right in.

ABOUT CINTEL, INC:
Cintel Inc. is a Small Business providing strategies and services to support an array of Government clients in Software Development, Operational/Tactical and Installation/Facilities Energy, Cyber Security, Modeling and Simulation, Data Science, and Programmatic support.
We offer our clients nimble, unique, and value focused solutions with an emphasis on people, connectivity, communication, and teamwork. Our team believes that people drive solutions. By connecting people, information, teams, and experience we deliver solutions that respond to customer needs.
It is the policy of Cintel that all persons are entitled to equal employment opportunity regardless of their race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age (40 or older), disability, genetic information, or veteran status. These policies shall ensure that the practice of nondiscrimination will be applied in the employment, promotion, upgrading, demotion, transfer, layoff, termination, recall or rehire of personnel. Equal employment opportunity applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training.

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