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Freelance Data Analyst R Programming Jobs in Sturgis, MI

Patrick Industries

IT Sr. Analyst, AI Engineer

Elkhart, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The position partners closely with Product Managers, Platform Engineers, Data Engineers, and ... Strong analytical, communication, collaboration, and problem-solving skills Benefits Include:

Patrick Industries

IT Sr. Analyst, AI Engineer

Elkhart, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The position partners closely with Product Managers, Platform Engineers, Data Engineers, and ... Strong analytical, communication, collaboration, and problem-solving skills Benefits Include:

CIBC

Data Security Consultant

Three Rivers, MI · On-site +1

$130K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... cloud, analytics, and emerging technology environments. * Capability maturity - Support the ... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ...

CIBC US

Data Security Consultant

Three Rivers, MI · On-site +1

$130K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... cloud, analytics, and emerging technology environments. * Capability maturity - Support the ... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ...

Burke Porter Group

Quality Engineer

Three Rivers, MI · On-site

$70K/yr

... detail, risk analysis and critical thinking/reasoning, troubleshooting/problem-solving ... Strong understanding of CNC programming, geometric dimensioning and tolerancing, and quality ...

Lippert

Security Analyst II

Elkhart, IN · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Lippert is a leading, global manufacturer and supplier of highly engineered products and customized ... and availability of data. Duties and Responsibilities: To perform this job successfully, an ...

Lippert

Security Analyst II

Elkhart, IN · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Lippert is a leading, global manufacturer and supplier of highly engineered products and customized ... and availability of data. Duties and Responsibilities: To perform this job successfully, an ...

Voyant Beauty

Quality Engineer

Elkhart, IN · On-site

$69K - $89K/yr

Prepare and analyze reports on quality performance metrics, cost-of-quality, and trend data to ... Bachelor's Degree Degree in Engineering, Science, or related field or 5+ years in a Quality role ...

voyant

Quality Engineer

Elkhart, IN · On-site

$69K - $89K/yr

Prepare and analyze reports on quality performance metrics, cost-of-quality, and trend data to ... Bachelor's Degree Degree in Engineering, Science, or related field or 5+ years in a Quality role ...

Dynamic Metals LLC

Engineer, Quality II - Senior

Elkhart, IN · On-site

$83K - $113K/yr

... Gage R& R, statistical analysis, problem solving, FMEA, control plans, and flow diagrams ... Engineer experience - or - Highschool Diploma/Equivalent and a minimum of seven (7) years of ...

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All JobsData Analyst R Programming JobsFreelance Data Analyst R Programming JobsFreelance Data Analyst R Programming Jobs in Sturgis, MI

Freelance Data Analyst R Programming information

See Sturgis, MI salary details

$31.4K

$76.3K

$125.6K

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

As of Aug 18, 2026, the average yearly pay for freelance data analyst r programming in Sturgis, MI is $76,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $89,600.00 per year, depending on experience, location, and employer.

What does a freelance data analyst with 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.

What are the key skills and qualifications needed to thrive as a freelance data analyst with R programming?

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 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 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.

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

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

What cities near Sturgis, MI are hiring for Freelance Data Analyst R Programming jobs?

Cities near Sturgis, MI with the most Freelance Data Analyst R Programming job openings:

Freelance Data Analyst R Programming jobs near you
Infographic showing various Freelance Data Analyst R Programming job openings in Sturgis, MI as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, 4% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $76,321 per year, or $36.7 per hour.

IT Sr. Analyst, AI Engineer

Patrick Industries

Elkhart, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Patrick Industries rating

6.6

Company rating: 6.6 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

456th of 540 rated manufacturers

Job description

Patrick Industries, a publicly traded company headquartered in Elkhart, Indiana, invites you to join a team of dedicated Team Members who are passionate about delivering high-quality products and exceptional customer service. As a leading solutions provider serving a diverse range of markets across the United States, our commitment to innovation, quality, and sustainability has positioned us as a high growth, diversified and empowered Team of more than 10,000! Your adventure awaits!
The IT Sr. Analyst, AI Engineer is responsible for designing, developing, deploying, and supporting enterprise AI solutions, agentic applications, and intelligent integrations across Patrick Industries. As a senior member of the Agile AI Factory, this role owns technical solution design, implementation approaches, engineering quality, and operational performance for assigned initiatives. The position partners closely with Product Managers, Platform Engineers, Data Engineers, and business stakeholders to deliver scalable AI-enabled solutions that drive automation, improve decision-making, and create measurable business value.
Responsibilities & Duties:
AI Solution Design & Development
  • Design, develop, test, and deploy AI-enabled applications, agents, and intelligent automation solutions
  • Own technical solution design for assigned initiatives, translating business requirements into scalable production-ready applications
  • Develop agentic workflows, prompt engineering strategies, retrieval-augmented generation solutions, and AI orchestration capabilities
  • Create reusable frameworks, services, and components that accelerate enterprise AI delivery
  • Develop technical documentation, design specifications, and engineering standards
  • Participate in code reviews, design reviews, and architecture discussions to ensure solution quality

System Architecture & Engineering
  • Design system components, service boundaries, data flows, integration patterns, and operational workflows for assigned solutions
  • Evaluate architectural alternatives and make recommendations based on scalability, performance, reliability, and maintainability requirements
  • Assess technical trade-offs related to cost, latency, compute utilization, and solution complexity
  • Design solutions that support enterprise growth, operational efficiency, and long-term sustainability
  • Collaborate with Platform Engineers and Architects to ensure alignment with enterprise standards
  • Identify and proactively address technical risks, dependencies, and architectural concerns

AI Platform Integration & Automation
  • Build integrations between AI platforms and enterprise applications, including ERP, operational systems, and business applications
  • Develop APIs, services, and automation frameworks that enable intelligent workflows across the organization
  • Support implementation of AI capabilities within manufacturing, supply chain, finance, HR, and corporate business processes
  • Ensure integrations are reliable, secure, scalable, and aligned with enterprise architecture standards
  • Troubleshoot integration challenges and optimize system performance
  • Collaborate with technical teams to support end-to-end solution delivery

Data Engineering & AI Enablement
  • Build data pipelines and supporting infrastructure required for AI applications and intelligent automation
  • Partner with Data Engineering teams to ensure data quality, availability, governance, and readiness
  • Design and implement data structures that support AI model performance and business requirements
  • Support ingestion, transformation, and preparation of enterprise data for AI use cases
  • Optimize solutions for performance, scalability, and maintainability
  • Contribute to enterprise AI and data platform standards and best practices

Solution Quality, Monitoring & Production Support
  • Develop and maintain testing frameworks, evaluation harnesses, and validation processes for AI solutions
  • Establish monitoring and observability standards for production AI systems
  • Track application performance, latency, error rates, model behavior, and output quality
  • Support deployment, stabilization, issue resolution, and ongoing production operations
  • Implement regression testing and validation processes when models, prompts, or retrieval layers change
  • Drive continuous improvement of solution reliability, performance, and supportability

DevOps & Agile Delivery
  • Apply DevOps best practices including CI/CD pipelines, source control, automated testing, and release management
  • Participate in sprint planning, backlog refinement, stand-ups, reviews, and retrospectives
  • Collaborate with cross-functional teams to deliver prioritized work efficiently and predictably
  • Provide effort estimates, identify delivery risks, and communicate project status effectively
  • Support release planning, deployment readiness, and production rollout activities
  • Continuously improve engineering practices, development tools, and delivery processes

Technical Leadership & Innovation
  • Provide technical guidance and mentorship to engineers and project teams
  • Promote engineering best practices and high-quality software development standards
  • Research emerging AI technologies, frameworks, and development approaches
  • Evaluate new tools and platforms that may enhance enterprise AI capabilities
  • Recommend improvements that increase platform scalability, developer productivity, and business value
  • Support advancement of Patrick Industries' AI maturity and digital transformation initiatives

Qualifications and Skills:
  • Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or related field; equivalent experience may be considered
  • 4+ years of software engineering, AI engineering, data engineering, or related experience
  • Experience designing, developing, and deploying enterprise software applications and integrations
  • Hands-on experience building and implementing AI, machine learning, generative AI, or agentic solutions
  • Strong proficiency with Python, SQL, and JavaScript/TypeScript or similar development technologies
  • Experience with prompt engineering, retrieval-augmented generation, LLM orchestration, and AI development frameworks
  • Demonstrated system design and software architecture experience
  • Experience developing APIs, integrations, and distributed application components
  • Strong understanding of DevOps practices including CI/CD, source control, automated testing, and release management
  • Experience working in Agile product development environments
  • Familiarity with Microsoft Azure, Microsoft Fabric, Microsoft Foundry, Azure DevOps, and Dynamics 365 environments
  • Knowledge of monitoring, observability, and production support practices for enterprise applications
  • Experience with MLOps, model deployment, monitoring, and lifecycle management preferred
  • Experience supporting manufacturing, operations, supply chain, or industrial business environments preferred
  • Experience integrating enterprise applications, industrial systems, sensors, or operational technologies preferred
  • Experience in decentralized, multi-site, or acquisition-driven organizations preferred
  • Exposure to C#, Rust, or KQL is a plus
  • Strong analytical, communication, collaboration, and problem-solving skills

Benefits Include:
Health, Dental, Vision, Life, Insurances, Paid Vacation, 401K Match, Holidays, Health Club and Tuition Reimbursement
At Patrick Industries, BETTER Together is our commitment to being our best while striving to bring out the best in one another as we join forces Individually, as Teams, with our Business Units, with our Customers, our Communities and within our entire Patrick family.
Patrick is an Equal Opportunity Employer.
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