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Afternoon Data Analyst R Programming Jobs in Utica, MI

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

This role works closely with Design & Release (D&R) engineers, program teams, suppliers, and cross ... The engineer combines technical powertrain knowledge with project management, data analysis, and ...

Data analysis: R&R studies, mastering, correlation, SPC, problem solving, statistical methods and MSA * PC (Visual Basic, LabVIEW, MATLAB, SharePoint) programming design and debug * Use of NI Diadem ...

This role works closely with Design & Release (D&R) engineers, program teams, suppliers, and cross ... The engineer combines technical powertrain knowledge with project management, data analysis, and ...

This role works closely with Design & Release (D&R) engineers, program teams, suppliers, and cross ... The engineer combines technical powertrain knowledge with project management, data analysis, and ...

Data analysis: R&R studies, mastering, correlation, SPC, problem solving, statistical methods and MSA * PC (Visual Basic, LabVIEW, MATLAB, SharePoint) programming design and debug * Use of NI Diadem ...

Showing results 41-60

Afternoon Data Analyst R Programming information

See Utica, MI salary details

$31K

$75.4K

$124.1K

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

As of Sep 7, 2026, the average yearly pay for afternoon data analyst r programming in Utica, MI is $75,392.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $88,500.00 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.

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

The top searched job categories for Afternoon Data Analyst R Programming jobs in Utica, MI are:

What cities near Utica, MI are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Utica, MI with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Utica, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $75,392 per year, or $36.2 per hour.

Senior Data Analyst - Vehicle Mechatronic Embedded Controls

General Motors

Warren, MI • Hybrid

$80K - $101K/yr

Full-time

Posted 9 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 308 frontline employees who took The Breakroom Quiz

7.3

Company rating compared to similar companies: 7.3 out of 10

Automakers average

Based on 6,331 frontline employees who took The Breakroom Quiz


Job description

Job Description

About Our Team

The VMEC Analytics team turns data and AI capability into direct business impact across six connected value streams: Data (access and pipelines), Insights (analytics output), Models (reusable intelligence), Tools (products and platforms), Services (investigations and support), and Enablement (guidance and governance).

The Role

General Motors is seeking a highly motivated and qualified candidate for the position of Data Analyst within the Vehicle Mechatronic Embedded Controls (VMEC) Analytics team. This role sits at the Application/Delivery stage of our analytics lifecycle - the front-line translator between business needs and analytical output.

As a VMEC Data Analyst, you will own customer-facing delivery: turning model outputs and data into usable tools, dashboards, and investigative insights. You will serve as the primary point of contact for partner teams, helping them get value from shared platforms and analytical products. This is a delivery and usability-focused role - you will consume model outputs and APIs to drive business impact.

This role sits within a horizontal support team that serves a wide range of partners simultaneously - spanning product development, business operations, warranty, quality, program management, and more. Success here requires breadth over depth - managing competing priorities across partners, context-switching fluidly between domains, and consistently delivering value to a diverse set of stakeholders rather than going deep on a single area.

What You'll Do

  • Build and maintain interactive dashboards, conversational UIs, and self-service reporting tools to support critical business operations.
  • Execute investigations and deliver clear, actionable analytical insights to partner teams and stakeholders.
  • Translate ambiguous business questions into scoped, well-defined analytical problems.
  • Support partner teams and end users in steady-state product operations, ensuring they get value from the tools and platforms your team delivers.
  • Onboard partner teams onto shared platforms and guide them toward self-service capability.
  • Participate in intake triage and request decomposition, helping scope and prioritize incoming analytical work.
  • Facilitate data-driven decision-making by delivering clear, concise findings and recommendations to key stakeholders and leadership.
  • Collaborate with cross-functional teams to identify analytical needs and proactively design solutions that support business objectives.

Your Skills & Abilities (Required Qualifications)

  • Bachelor's degree in Engineering, Computer Science, Information Technology, Math, or Physics.
  • 2+ years of relevant experience utilizing data analysis and delivering analytical solutions to business customers.
  • Proficiency in data visualization and dashboard tools: Power BI, Plotly, Streamlit, Dash.
  • Strong SQL and Python skills for analysis, reporting, and automation.
  • Ability to translate technical output into clear business language for non-technical audiences.
  • Strong stakeholder engagement and communication skills.
  • Ability to work through ambiguous problem statements to define concrete deliverables.
  • Passion for data-driven results and customer impact.

What Can Give You a Competitive Edge (Preferred Qualifications)

  • Master's degree in Engineering, Computer Science, Information Technology, Math, or Physics.
  • 5+ years of experience utilizing data analysis methods and solving complex business problems.
  • Experience with vehicle diagnostics, warranty, or quality data.
  • Experience working with vehicle telematics data.
  • Familiarity with AI/ML model outputs and APIs (consuming and integrating).
  • Experience with Azure, Databricks, Spark, Hive, Hadoop, or dBeaver.
  • Embedded controls experience.
  • Experience working in an Agile or SAFe (Scaled Agile Framework) environment, including PI planning, sprint cadences, and structured intake processes.
  • Software engineering experience, including version control with GitHub and CI/CD pipeline practices.
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908