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Afternoon Data Analyst R Programming Jobs in Eastaboga, AL

... engineering, quality, and IT. The ideal candidate is detail-oriented, analytically minded, and ... Collect, analyze, and report on manufacturing data to identify trends, inefficiencies, and ...

... engineering, quality, and IT. The ideal candidate is detail-oriented, analytically minded, and ... Collect, analyze, and report on manufacturing data to identify trends, inefficiencies, and ...

... engineering, quality, and IT. The ideal candidate is detail-oriented, analytically minded, and ... Collect, analyze, and report on manufacturing data to identify trends, inefficiencies, and ...

Industrial Engineer I

Heflin, AL ยท On-site

$58K - $78K/yr

Provide cost and data analysis for capital investments, cost benefit justification, new product ... Industrial Engineering Travel None. Working Conditions In Office / On Site Competencies Nimble ...

Industrial Engineer I

Heflin, AL ยท On-site

$58K - $78K/yr

Provide cost and data analysis for capital investments, cost benefit justification, new product ... Industrial Engineering Travel None. Working Conditions In Office / On Site Competencies Nimble ...

Quality Engineer

Pell City, AL ยท On-site

$60K - $77K/yr

The Quality Engineer will also be responsible for conducting audits, analyzing data, and making recommendations for process improvements. Responsibilities: * Develop and implement quality control ...

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Afternoon Data Analyst R Programming information

See Eastaboga, AL salary details

$30.9K

$75.1K

$123.6K

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

As of Sep 6, 2026, the average yearly pay for afternoon data analyst r programming in Eastaboga, AL is $75,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,800.00 and $88,200.00 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.

Business Data Analyst II

General Dynamics Corporation

Anniston, AL โ€ข On-site

$65 - $85/hr

Other

Medical, Life, Retirement

Posted 5 days ago


Job description

Responsibilities for this Position

Business Data Analyst II

US-AL-Anniston

Job ID: 2026-36884

Type: Full Time

# of Openings: 1

Category: Project/Program Management

Anniston, AL

Company Overview

General Dynamics Ordnance and Tactical Systems (OTS) is a global leader in the design, engineering and production of munitions, energetics, weapons, armaments, and missile subsystems around the world. OTS empowers the U.S. military and its allies with an extensive range of overarching product segments applied across all levels of strategic and tactical operations, providing a cutting-edge advantage to our warfighters. Our Ethos of Honesty, Trust, Transparency, and Alignment, are the guiding principles that form the foundation of everything we do. Integrity is paramount, innovation fuels our passion, customer satisfaction is at the core of our mission, and collaboration is key to our success - fostering a culture of teamwork and mutual respect among employees, partners, and stakeholders. Whether you're just starting out on your career journey or are an experienced professional, we offer a robust total rewards package that goes above and beyond with compensation; healthcare, wellness, retirement, and work/life benefits that include career development and recognition programs. If who we are and what we do resonates with you, we invite you to join our high-performance team!

Impact of the Role General Profile
  • Requires working knowledge and experience in own job discipline and broadens capabilities
  • Continues to build knowledge of the company, processes and customers
  • Performs a range of assignments related to job discipline
  • Uses prescribed guidelines or policies in analyzing situations
  • Receives a moderate level of guidance and direction
  • Consistent exercise of discretion & judgment
Essential Functions
  • Provides management and analysis of business data for use in decision making and organizational efficiency improvement initiatives.
  • Aggregates and performs statistical analysis on business data based on requests from project teams or senior leadership.
  • Integrates data from multiple data sources or functional areas, ensures data accuracy and integrity, and updates data as needed.
  • Writes queries or reports to provide data for various analytical projects.
  • Interprets data to identify business trends, conduct root cause analysis of business problems, or suggest areas for process improvement.
  • Provides guidance, coaching, and/or mentoring to less experienced team members.
Required Qualifications
  • Required education and experience: Associate's Degree and 2-4 years' experience OR Equivalent Combination of Relevant Education &/or Experience
  • Critical professional related technical skills; computer skills: Proficient in Microsoft Office (Excel, Word, PowerPoint)
Preferred Qualifications
  • Preferred education and experience: Bachelor's Degree
  • Discipline/Major: Information Technology or other Technical degree preferred.
  • Knowledge, skills & abilities: Oral and written communication skills. Computer skills. Mathematical skills. Analytical thinking skills. Statistical knowledge. Problem-solving skills.
Physical Requirements
  • Must be able to remain in a stationary position at a desk and/or computer for extended periods of time.
  • Work primarily in a climate-controlled environment with minimal safety/health hazard potential.
Travel Requirements:
  • Must be able to remain in a stationary position at a desk and/or computer for extended periods of time.
  • Work primarily in a climate-controlled environment with minimal safety/health hazard potential.

The above statements describe the general nature and level of work only. The statements do not represent an exhaustive list of required responsibilities and skills. Other duties may be added or this job description may be amended at any time. This job description does not alter an employee's at-will employment status or create an employment agreement or contract, implied or otherwise.

If you require assistance or an accommodation for a disability covered under the Americans with Disabilities Act, please email staffing@gd-ots.com or call: 727-578-8295. Please note this contact information is for those requesting a reasonable accommodation while applying for a job, because of a covered disability. General Dynamics Ordnance and Tactical Systems Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans.

General Dynamics Ordnance and Tactical Systems is a global leader in the design, engineering and production of munitions, weapons, lightweight tactical vehicles, missile components and armament systems around the world.

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