ZipRecruiter

Log In

1

Freelance Data Analyst R Programming Jobs in Michigan

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 ...

AD Mortgage

Mortgage Servicing Data Analyst

Troy, MI · On-site

About this opportunity The Mortgage Servicing Data Analyst is responsible for analyzing mortgage ... R • Understanding of mortgage regulatory requirements Technical Skills • SQL • Excel ...

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 ...

next page

Showing results 1-20

All JobsFreelance Data Analyst R Programming JobsFreelance Data Analyst R Programming Jobs in Michigan

Freelance Data Analyst R Programming information

How much do freelance data analysts make?

Freelance data analysts using R programming typically earn between $25 and $100 per hour, depending on experience, project complexity, and client budget. Annual income varies widely but can range from $50,000 to over $100,000 for experienced professionals working on multiple projects or consulting contracts.

What is the difference between Freelance Data Analyst R Programming vs Freelance Data Scientist R Programming?

AspectFreelance Data Analyst R ProgrammingFreelance Data Scientist R Programming
Required SkillsData analysis, R programming, visualizationData analysis, R programming, machine learning, statistical modeling
Work EnvironmentProject-based, client-specificProject-based, client-specific
Industry UsageBusiness intelligence, reportingAdvanced analytics, predictive modeling

Freelance Data Analyst R Programming focuses on analyzing data and creating reports using R, suitable for business insights. Freelance Data Scientist R Programming involves deeper statistical modeling and machine learning, often for predictive analytics. Both roles require R skills but differ in complexity and scope.

Are R programmers in demand?

R programmers, including freelance data analysts skilled in R programming, are in high demand due to the growing need for data analysis, statistical modeling, and data visualization across industries. Proficiency in R, along with skills in data manipulation and reporting, increases job opportunities in analytics and research roles.

What are the key skills and qualifications needed to thrive as a Freelance Data Analyst with R Programming expertise, and why are they important?

To thrive as a Freelance Data Analyst specializing in R Programming, you need strong analytical skills, proficiency in statistical methods, and a solid foundation in data manipulation, typically supported by a degree in a quantitative field. Mastery of R and its libraries (like dplyr, ggplot2, and tidyr), as well as familiarity with data visualization tools and possibly certification in data analytics, are important technical assets. Excellent problem-solving, communication, and project management skills help you stand out when delivering insights to clients and managing multiple projects independently. These competencies enable accurate data-driven decision-making, effective client collaboration, and successful project execution in a competitive freelance environment.

What does a Freelance Data Analyst specializing in R programming do?

A Freelance Data Analyst who specializes in R programming collects, processes, and analyzes data using the R language. They often work with clients on a project basis to extract insights from datasets, create visualizations, and build statistical models. Their tasks may include data cleaning, exploratory data analysis, and creating reproducible reports. They also help organizations make data-driven decisions by interpreting results and recommending actions based on their analyses.

Can I do freelancing as a data analyst?

Freelance data analysts, including those skilled in R programming, can work independently by offering data analysis, visualization, and reporting services to clients. Success depends on building a strong portfolio, having proficiency in tools like R and SQL, and managing client relationships and deadlines. Many freelancers find opportunities through online platforms and networking.

Does R programming pay well?

Freelance data analysts skilled in R programming can earn competitive rates, especially with expertise in statistical analysis, data visualization, and proficiency in tools like RStudio. Earnings vary based on experience, project complexity, and client industry, but experienced freelancers often command higher pay in the data analysis field.

What are some common challenges freelance data analysts face when working with clients using R programming?

Freelance data analysts using R often encounter challenges such as aligning on data formats and expectations with clients who may have limited technical backgrounds. Managing project scope and deadlines can also be tricky, especially when clients request additional analyses or changes mid-project. Communication is key, as you'll frequently need to explain R-based findings in a clear, non-technical way and ensure reproducibility of your code for client handover. Additionally, securing access to necessary data and maintaining data privacy are critical aspects of the role.
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 Freelance Data Analyst R Programming jobs in Michigan? For Freelance Data Analyst R Programming jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Freelance Data Analyst R Programming jobs in Michigan look for? The top searched job categories for Freelance Data Analyst R Programming jobs in Michigan are:
What cities in Michigan are hiring for Freelance Data Analyst R Programming jobs? Cities in Michigan with the most Freelance Data Analyst R Programming job openings:
Freelance Data Analyst R Programming jobs near you
Dealer Audit - Data Analyst & AI Solutions

Dealer Audit - Data Analyst & AI Solutions

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 25 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

What Stellantis employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply