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Afternoon Data Analyst R Programming Jobs in Savannah, GA

Controls Engineer - Manufacturing Engineering

Pooler, GA ยท On-site

$76K - $89K/yr

This role provides technical leadership across manufacturing engineering, production, logistics ... Conduct time studies, data analysis, and simulation modelling to identify capacity constraints and ...

Responsibilities: * Analysis of gas path performance data to identify premature engine ... Bachelor's degree in Mechanical Engineering or equivalent aviation maintenance (A&P/AMT License) or ...

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Afternoon Data Analyst R Programming information

See Savannah, GA salary details

$31.7K

$77K

$126.7K

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

As of Jul 15, 2026, the average yearly pay for afternoon data analyst r programming in Savannah, GA is $76,967.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,300.00 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 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, and why are they important?

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 Savannah, GA? The most popular types of Data Analyst R Programming jobs in Savannah, GA are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Savannah, GA? For Afternoon Data Analyst R Programming jobs in Savannah, GA, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Savannah, GA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Savannah, GA are:
What cities near Savannah, GA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Savannah, GA with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Savannah, GA as of July 2026, with employment types broken down into 1% As Needed, 55% Full Time, 36% Part Time, 1% Temporary, 2% Contract, and 5% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $76,967 per year, or $37 per hour.

Full-time

Re-posted 27 days ago


Job description

Summary

The BSA Quality Control Senior Engineer at MOBIS North America Electrified Powertrain, LLC (MNAe) plays a critical role in ensuring strict adherence to quality standards and regulatory requirements throughout the production process. This position involves the analysis of quality control data for in-process products, and final products. The Senior Engineer is responsible for performing detailed root cause analyses of any deviations or non-conformances and generating comprehensive reports to support continuous improvement efforts. Additionally, the role requires close collaboration with customers and vendors to address quality issues and ensure alignment with their quality expectations. A key focus of this position is on data analysis, trend tracking, and identifying patterns to proactively address potential quality concerns. By ensuring the effective implementation of quality assurance policies and procedures, and working in tandem with cross-functional teams, the Assistant Manager plays an integral part in sustaining and enhancing product quality while cultivating strong relationships with external stakeholders.

Essential Functions (To perform within this position successfully, the incumbent must be able to perform each essential duty satisfactorily. Other duties may be assigned.)

  • Ensure accurate documentation of quality control processes and procedures, including the development and continuous update of control plans, work instructions, and special characteristics management plans, in alignment with revised Failure Mode and Effects Analysis (FMEA).
  • Collaborate in the creation of essential quality documents, such as work instructions, procedures, and flowcharts, ensuring clarity, compliance, and adherence to industry standards.
  • Leverage expertise in data analysis tools such as Excel and PowerPoint to effectively compile, analyze, and present quality-related information, including trend analysis and performance metrics.
  • Monitor product quality, repairs, workmanship, proper labeling, and part allocation, ensuring strict adherence to established quality standards.
  • Oversee torque audits utilizing Statistical Process Control (SPC) charts, data forms, and the Torque Auditor tool to ensure consistent compliance with quality standards and process controls.
  • Prepare and present daily, month-to-date, and annual quality reports, providing insightful analysis and tracking trends to support decision-making by the management team
  • Utilize advanced data analysis techniques to track quality trends over time, identify potential issues, and recommend corrective actions based on data-driven insights.
  • Maintain a focus on identifying patterns in quality metrics, ensuring proactive solutions to mitigate recurring issues.
  • Ensure compliance with 5-S standards within the Quality Control Department to maintain organized, efficient, and safe working environments.
  • Make critical, time-sensitive decisions during assigned shifts, demonstrating autonomy and the ability to act independently to ensure operational efficiency, consistent quality, and adherence to company standards.
  • Communicate effectively with cross-functional teams and management regarding operational, safety, and quality concerns, fostering an environment of collaboration and problem-solving.
  • Ensure and promote adherence to workplace safety standards and practices at Mobis.
  • Support the development of company policies, operating procedures, and organizational goals.
  • Contribute to cross-functional process improvement teams, help implement improvement plans and assess the effectiveness of quality initiatives.
  • Coordinate and conduct supplier audits for qualifications or process changes to ensure alignment with quality standards.
  • Perform other duties as required.

Basic Qualifications (The requirements listed below are representative of the knowledge, skills, and/or ability required and preferred for this position.)

  • 5+ years of experience in a relevant field, preferably with exposure to data analysis, quality control, quality assurance, or mechanical, electrical, or manufacturing environments.

Required Knowledge, Skills, & Abilities:

  • Exceptional written and verbal communication skills, with the ability to convey complex technical information in a clear and concise manner
  • Strong problem-solving and conflict resolution abilities, with a demonstrated capacity to analyze situations, identify root causes, and implement actionable solutions
  • Ability to thrive in a fast-paced environment, manage competing priorities, and meet deadlines while maintaining a keen attention to detail
  • Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word) and other relevant software applications for data analysis, reporting, and presentation
  • Strong mechanical aptitude and a solid understanding of mechanical processes
  • Basic understanding of reading blueprints and interpreting part specifications, including Geometric Dimensioning and Tolerancing (GD&T)

Preferred Education & Experience:

  • Bachelor's degree in a related field
  • Working knowledge of Six Sigma (Black/Green Belt)
  • Significant experience in the automotive industry