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Data Analyst R Programming Jobs in Michigan (NOW HIRING)

Canopy

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

Join Canopy, a Ford-backed company, at the forefront of engineering advanced threat detection and ... As a Senior Data Analyst reporting to the Team Manager of Core AI and Data, you will spearhead the ...

Spectrum Health

Data Analyst Senior

Royal Oak, MI · Hybrid

$80K - $101K/yr

Performs the initial analysis of data, develops customized reports to facilitate meaningful ... Determines programming/interface needs within the department/service to DS programming staff and ...

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

$63.25 - $81.50/hr

... R Programming for data visualizations, Python, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio ...

KYYBA

Warranty Data Analyst - Automotive

Auburn Hills, MI · On-site

$50 - $55/hr

... engineering, and suppliers to drive root cause analysis and corrective actions Perform deep-dive data analysis to support escalation of critical issues and leadership reporting Ensure data accuracy ...

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Data Analyst R Programming information

What are the key skills and qualifications needed to thrive in the Data Analyst R Programming position, and why are they important?

To excel as a Data Analyst R Programming, you need strong analytical abilities, proficiency in statistical analysis, and hands-on experience with R, often supported by a degree in statistics, mathematics, or a related field. Familiarity with R libraries (such as dplyr, ggplot2), databases (like SQL), and data visualization tools, as well as potential certifications in data analysis or R programming, are highly beneficial. Exceptional problem-solving skills, attention to detail, and clear communication will set you apart when interpreting data and sharing insights with stakeholders. These capabilities are essential for turning raw data into actionable business insights, ensuring data-driven decisions, and fostering collaborative project success.

What is a Data Analyst R Programming job?

A Data Analyst specializing in R Programming uses the R language to analyze, visualize, and interpret data to support business decisions. This role involves cleaning and transforming data, performing statistical analysis, and creating data visualizations or reports. Analysts in this field often work with databases, machine learning models, and automation tasks using R packages like dplyr, ggplot2, and tidyr. They typically collaborate with stakeholders to extract insights and communicate findings in a meaningful way.

What are typical projects or daily tasks for a Data Analyst specializing in R Programming?

As a Data Analyst with expertise in R Programming, your typical responsibilities include cleaning and preparing large datasets, conducting statistical analyses, and creating visualizations to support business decisions. You’ll frequently use R to automate data processing workflows, generate reports, and explore insights, collaborating closely with data scientists, business analysts, and department managers. Projects may range from market trend analysis and customer segmentation to developing predictive models for operational improvements. This role often involves both independent analytical work and active participation in cross-functional meetings to present findings and recommendations.

What are the most commonly searched types of Data Analyst R Programming jobs in Michigan? The most popular types of Data Analyst R Programming jobs in Michigan are:
What are popular job titles related to Data Analyst R Programming jobs in Michigan? For Data Analyst R Programming jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Analyst R Programming jobs in Michigan look for? The top searched job categories for Data Analyst R Programming jobs in Michigan are:
Data Analyst R Programming jobs near you
Infographic showing various Data Analyst R Programming job openings in Michigan as of June 2026, with employment types broken down into 82% Full Time, 5% Temporary, and 13% Contract. Highlights an 95% In-person, and 5% Remote job distribution.
Dealer Audit - Data Analyst & AI Solutions

Dealer Audit - Data Analyst & AI Solutions

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 26 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 124 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

The role requires a creative and detail-oriented individual. In this role, you will develop and respond to requests for data analysis to present a coherent vision of business activities, assisting the Dealer Audit teams and key stakeholders in making data-driven decisions. The selected candidate will provide a blend of technical and functional expertise.
AI Solutions: The role drives the identification, design, pilot, and scaling of AI and automation solutions across Dealer Audit. The role works to deliver measurable impact through workflow optimization, improved customer and employee experience, and digital process transformation. This role supports the broader organizational mission to accelerate digital transformation and scale AI adoption.
Key Responsibilities
  • Analyze large and complex data sets from multiple sources to identify trends, patterns, and insights
  • Work with stakeholders to propose, identify, and develop analytics requirements
  • Build visualization or perform further analysis based on requirements identified
  • Know business data and provide recommendations for improving knowledge and data quality
  • Support audit teams in deepening their knowledge and utilization of data and AI within testing
  • Stay up-to-date with the latest advancements in AI and data analytics technologies
  • Identify high-value AI, Copilot, and other automation opportunities to embed into daily operations
  • Conduct process mapping and problem analysis to define requirements and value hypotheses
  • Translate business needs into clear user stories, requirements, and acceptance criteria
  • Partner with stakeholders to ensure feasibility and solution integration
  • Develop deployment playbooks, documentation, and training assets
  • Create reusable templates, prompt libraries, workflows, or automation components
  • Define KPIs and measure performance, productivity, and financial outcomes
  • Ensure compliance with Stellantis' Responsible AI and Data Governance frameworks

Basic Qualifications
  • Bachelor's Degree in Business, Data Science, Statistics, Business Analytics, Management Information Systems, or a related field
  • A minimum of 5 years of experience as a Data Analyst, AI Analyst, or similar role
  • Strong knowledge of data visualization tools such as PowerBI, Tableau, Qlik, or similar tools
  • Familiarity with programming languages such as Python, R, SQL, NoSQL
  • Familiarity with platforms such as Visual Studio Code, Databricks, Snowflake, Palantir Foundry
  • Strong computer skills and highly proficient with Microsoft Office Suite (O365 / Online Collaboration Version)
  • AI literacy: understanding capabilities, limitations, risks, and responsible use
  • Flexible and adaptable to changing business environments and job responsibilities
  • Excellent written and verbal communication skills in English
  • Quantitative, analytical, and detail-oriented. Problem-solving skills
  • Strong project management skills; effective & efficient completing numerous tasks simultaneously
  • Knowledge of risk management, control objectives/activities, and automated/manual controls
  • Proficiency in data collection, warehousing, transformation, and analysis

Preferred Qualifications
  • Prior audit experience (financial, compliance, operational, or dealership/franchise)
  • Experience with automotive OEM dealership management systems
  • General understanding of the franchised dealership model
  • Experience with highly automated/digital processes; including but not limited to remote auditing techniques, claims processing, and optical recognition software
  • Advanced Degree in Business, Data Science, Statistics, Business Analytics, Management Information Systems, or a related field
  • 5+ years of (total) experience in the following areas:
  • Automotive (Retail) - In-depth knowledge of dealership retail processes and procedures, with emphasis on fixed operations departments.
  • Automotive (Technical) - In-depth knowledge of automotive technical information systems and repair/diagnostic procedures

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