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Remote Data Analyst R Programming Jobs in Wisconsin

Senior Data Engineer

Brookfield, WI ยท Remote

$100K - $136K/yr

Performs root cause analysis on data sets and processes to answer specific business questions and ... This remote role is only open to individuals that reside in one of the following states at the time ...

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... We provide innovative end-to-end CIS and ERP solutions that were engineered from the ground up to ...

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... We provide innovative end-to-end CIS and ERP solutions that were engineered from the ground up to ...

Alternatively, the RST will be collecting ground data using GNSS survey tools, water monitoring ... Developers, IT, Project Management Professionals, and more. At NV5 Geospatial, we are a ...

Alternatively, the RST will be collecting ground data using GNSS survey tools, water monitoring ... Developers, IT, Project Management Professionals, and more. At NV5 Geospatial, we are a ...

Job Title Regulatory Reporting Analyst- Remote Requisition Number R7892 Regulatory Reporting ... Analyze regulatory data against statutory financial statements and prior regulatory filings to ...

New

Job Title Regulatory Reporting Analyst- Remote Requisition Number R7892 Regulatory Reporting ... Analyze regulatory data against statutory financial statements and prior regulatory filings to ...

New

Job Title Regulatory Reporting Analyst- Remote Requisition Number R7892 Regulatory Reporting ... Analyze regulatory data against statutory financial statements and prior regulatory filings to ...

New

Job Title Regulatory Reporting Analyst- Remote Requisition Number R7892 Regulatory Reporting ... Analyze regulatory data against statutory financial statements and prior regulatory filings to ...

New

Showing results 41-60

Remote Data Analyst R Programming information

Do data analysts use R programming?

Data analysts often use R programming as it provides powerful tools for data manipulation, statistical analysis, and visualization. R is widely adopted in the field due to its extensive package ecosystem and open-source nature, making it a valuable skill for data analysis roles.

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

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a remote data analyst specializing in r programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What is a remote data analyst r programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.

Are remote data analysts in demand?

Remote data analysts, including those skilled in R programming, are in high demand due to the increasing reliance on data-driven decision making across industries. Companies seek professionals with strong analytical skills, proficiency in tools like R and SQL, and the ability to work independently in virtual environments, leading to a growing job market for remote roles.
What are the most commonly searched types of Data Analyst R Programming jobs in Wisconsin? The most popular types of Data Analyst R Programming jobs in Wisconsin are:

VP of Enterprise Data, Analytics & AI

TIDI Products

Neenah, WI โ€ข On-site, Remote

Full-time

Re-posted 25 days ago


Job description

We are hiring a VP of Enterprise Data Analytics and AI!!

The Vice President of Enterprise Data, Analytics & AI is responsible for building TIDI's enterprise data foundation and advancing the analytics and AI capabilities it enables. This leader owns enterprise data strategy, governance, architecture, business intelligence, advanced analytics, data science, and the Databricks analytics platform.

The role will ensure internal and external data are trusted, connected, secure, and reusable so TIDI can move from retrospective reporting to predictive insight, intelligent automation, machine learning, and future AI-enabled decision support. In partnership with Technology Services, this leader will establish the integration and MCP frameworks that allow approved AI models, agents, applications, and workflows to access governed enterprise data.

This role is focused on data, platforms, analytics, and AI data foundations.

This position can work remotely with in the US, but must be willing to come into any of our locations, as needed.
ESSENTIAL DUTIES AND RESPONSIBILITIES:

Execute TIDI's enterprise data, analytics, and AI data-foundation strategy and multi-year roadmap.
Lead the Business Intelligence team and build capabilities across data engineering, advanced analytics, data science, and machine learning.
Establish, scale, and govern the enterprise data and analytics platform in Databricks.
Design an AI-ready architecture for structured and unstructured data, including reusable data products, semantic models, metadata, lineage, and business context.
Establish standards for data quality, master data, governance, security, privacy, access, retention, observability, and regulatory compliance.
Ensure data is prepared, governed, and accessible for reporting, predictive models, AI agents, retrieval, and automated workflows.
Partner with Technology Services to implement MCP and other secure integration patterns connecting enterprise data, systems, analytical tools, models, and workflows.
Relentlessly identify, evaluate, acquire, and integrate external data assets that improve market, customer, clinical, commercial, operational, and competitive decision-making.
Build a portfolio of high-value analytics, data science, machine learning, and AI use cases tied to measurable business outcomes.
Automate recurring data preparation, reporting, analysis, insight generation, and decision-support processes.
Establish model and analytical governance, including validation, explainability, monitoring, performance, lifecycle management, and human oversight.
Partner with business leaders to translate strategic questions into trusted data products, models, insights, and decisions.
Define and monitor value, adoption, data quality, platform reliability, speed to insight, model performance, and reuse of analytical assets.
Build, energize, and retain a high-performing, AI-enabled team that uses modern tools to increase speed, quality, and capacity.
Manage data providers, technology partners, consultants, contracts, licenses, budgets, and platform investments.

CORE VALUES & GUIDING PRINCIPLES:

Understands internal and external customers
Assure a safe work environment
Encourage individual development
Demonstrates teamwork and flexibility/adaptability
Demonstrates honesty
Keep our commitments
Think systemically and ensure constancy of purpose
Lead with humility and respect every individual
Focus on process, embrace scientific thinking, flow and pull value, assure quality at the source and seek perfection

EDUCATION & EXPERIENCE:

Advanced degree in a relevant technical field.
12+ years of leadership experience across technology, engineering, digital product delivery, or AI-enabled transformation.
Proven ability to lead cross-functional teams in delivering enterprise technology solutions.
Experience using AI, automation, and modern engineering practices to improve business and delivery outcomes.

QUALIFICATIONS:

Strong knowledge of agile delivery, software engineering, release management, quality practices, and governance.
Executive-level communication skills and the ability to influence senior stakeholders.
Track record of building high-performing teams and delivering results in complex, regulated environments.
Experience with ERP-connected operations, quality systems, and responsible AI practices.
Strong financial and vendor management acumen.
About TIDI Products...
TIDI Products is a market leading manufacturing of disposable infection prevention products and patient safety products, headquartered in Neenah, WI. We have manufacturing and distribution facilities in Neenah, WI, Newport News, VA, Norristown, PA, Littlestown, PA, United Kingdom and, Tijuana, MX and office space in Lincolnshire, IL. TIDI provides best in class products and service to major healthcare products distributors and users worldwide.


We Support Care Givers and Protect Patients!!
Disability Accommodation
For individuals with disabilities that need additional assistance at any point in the application and interview process, please email WIHR@tidiproducts.com or call 920-751-4300 x 4044.
Equal Opportunity Employer
TIDI Products is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, family.