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Remote R Studio Jobs in Illinois (NOW HIRING)

IL EDW Data Modeler

Springfield, IL · Remote

$54.25 - $70.25/hr

Experience with Erwin, ER/Studio, or similar data modeling tools * Excellent communication and ... Python or R experience What You'll Get * 100% Remote Opportunity * Enterprise-scale healthcare data ...

Remote R Studio information

What is the difference between Remote R Studio vs Remote Data Analyst?

AspectRemote R StudioRemote Data Analyst
Required CredentialsProficiency in R, data analysis skills, sometimes certifications in data scienceStatistical knowledge, data analysis skills, often a degree in related field
Work EnvironmentPrimarily focused on data analysis using R, often in research or analytics teamsAnalyzing data, creating reports, supporting decision-making across industries
Employer & Industry UsageTech companies, research institutions, analytics firmsBusiness, finance, healthcare, marketing sectors

Remote R Studio roles focus on data analysis using R programming, often requiring specific technical skills. Remote Data Analyst positions are broader, involving interpreting data, creating reports, and supporting strategic decisions across various industries. While both roles involve data work, Remote R Studio is more specialized in R programming, whereas Remote Data Analyst covers a wider range of data tools and applications.

What is a remote R Studio?

A Remote R Studio job involves using R Studio, an integrated development environment (IDE) for the R programming language, to analyze data, build statistical models, and create visualizations, all while working from a remote location. Professionals in this field typically work as data analysts, data scientists, or statisticians, collaborating with teams online and accessing data and computing resources remotely. Key responsibilities include writing R scripts, generating reports, and ensuring data accuracy. Remote R Studio jobs require strong programming skills in R, familiarity with data analysis techniques, and the ability to communicate findings effectively. These roles often offer flexibility in work hours and location.

What are the key skills and qualifications needed to thrive as a remote R Studio data analyst?

To thrive as a Remote R Studio Data Analyst, you need strong statistical analysis skills, proficiency in R programming, and a relevant degree in statistics, data science, or a related field. Familiarity with R Studio, data visualization tools like ggplot2, and version control systems such as Git is typically required. Excellent problem-solving, communication, and time-management skills help you interpret and present complex data insights effectively while working independently. These abilities ensure accurate data analysis, effective collaboration, and successful project delivery in a remote setting.

How does working remotely as an R Studio professional impact collaboration and project workflow?

Working remotely as an R Studio professional typically involves frequent collaboration through digital communication tools like Slack, Zoom, or Microsoft Teams. Team members often share code and data using version control platforms such as GitHub, ensuring transparency and smooth workflow despite physical distance. While remote work offers flexibility and autonomy, it also requires proactive communication and time management to stay aligned with project goals and deadlines. Collaborating remotely means you may work across time zones, so clear documentation and regular check-ins are key to maintaining project momentum.

What are the most commonly searched types of R Studio jobs in Illinois?

The most popular types of R Studio jobs in Illinois are:

What cities in Illinois are hiring for Remote R Studio jobs?

Cities in Illinois with the most Remote R Studio job openings:

IL EDW Data Modeler

MSR Technology Group

Springfield, IL • Remote

$54.25 - $70.25/hr

Full-time

Posted 5 days ago


Job description

Senior Health Data Modeler (Healthcare EDW) – Remote
Remote (Must reside within the Continental U.S.)
No C2C, Third-Party Vendors, Sponsorship, or Employer Representatives. Direct candidates only.

We are seeking a Senior Health Data Modeler to support large-scale healthcare data warehouse and analytics initiatives. This role will focus on enterprise data modeling, data governance, healthcare data architecture, and cloud modernization efforts within a complex healthcare environment.
This is an excellent opportunity for someone who enjoys designing scalable data solutions, collaborating with architects and engineers, and influencing enterprise data strategy.
Responsibilities
  • Design and maintain conceptual, logical, and physical data models
  • Translate business requirements into scalable data warehouse solutions
  • Develop dimensional, normalized, and analytical data models
  • Create and maintain ERDs, data dictionaries, metadata, and data lineage documentation
  • Support data governance, data quality, and compliance initiatives
  • Collaborate with architects, developers, analysts, and business stakeholders
  • Define data standards, relationships, keys, and performance optimization strategies
  • Support cloud modernization and enterprise analytics initiatives
Required Qualifications
  • 10+ years of IT experience
  • 7+ years of enterprise data modeling experience
  • Strong healthcare data experience, including Medicaid, Medicare, claims, provider, and member data
  • Advanced SQL skills, including query optimization and database design
  • Experience with data governance, metadata management, data quality, and MDM
  • Strong knowledge of:
    • Dimensional Modeling
    • Star/Snowflake Schemas
    • Data Vault
    • OLTP / OLAP Concepts
    • Slowly Changing Dimensions (SCDs)
  • Experience with Erwin, ER/Studio, or similar data modeling tools
  • Excellent communication and stakeholder management skills
Preferred Qualifications
  • State Medicaid or Healthcare EDW experience
  • Azure data platform experience
  • Snowflake experience
  • Teradata modernization experience
  • Informatica or Azure Data Factory experience
  • Power BI or Tableau
  • Knowledge of HIPAA, PHI, and healthcare data compliance requirements
  • Python or R experience
What You'll Get
  • 100% Remote Opportunity
  • Enterprise-scale healthcare data environment
  • Cloud modernization initiatives
  • High-visibility architecture and data strategy work
  • Collaborative team of data architects, engineers, and analytics professionals
If you're passionate about healthcare data, enterprise architecture, and building scalable data solutions, we'd love to hear from you.