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Afternoon Data Analyst R Programming Jobs in Wisconsin

IAT Insurance Group

Business Data Analyst

Milwaukee, WI · On-site

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance ... Partner with developers and data engineers to ensure delivered solutions meet documented ...

Iatinsurancegroup

Business Data Analyst

Milwaukee, WI · On-site +1

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance ... Partner with developers and data engineers to ensure delivered solutions meet documented ...

NYP - Westchester Division

Data Scientist

Cornell, WI

$74K - $111K/yr

Strong Python/R programming and SQL skills * 3+ years of experience building and validating ML ... Strong experience analyzing and deriving insights from complex healthcare data, including EHR and ...

NewYork-Presbyterian

Data Scientist

Cornell, WI · On-site

$74K - $111K/yr

Strong Python/R programming and SQL skills * 3+ years of experience building and validating ML ... Strong experience analyzing and deriving insights from complex healthcare data, including EHR and ...

Elevance Health

Data Scientist Analyst

Waukesha, WI · On-site +1

Apply NLP techniques and prompt engineering to build conversational and generative AI systems ... Proficiency with Python, R, SQL, or similar tools to manipulate large, complex healthcare data sets ...

Elevance Health

Data Scientist Analyst

Waukesha, WI · On-site +1

Apply NLP techniques and prompt engineering to build conversational and generative AI systems ... Proficiency with Python, R, SQL, or similar tools to manipulate large, complex healthcare data sets ...

NewYork-Presbyterian

Data Scientist

Cornell, WI · On-site

$74K - $111K/yr

Strong Python/R programming and SQL skills * 3+ years of experience with evaluation design and ML ... Strong experience analyzing and deriving insights from complex healthcare data, including EHR and ...

Good Culture

Quality Data Analyst

La Crosse, WI · On-site +1

QUALITY DATA ANALYST LOCATION: Remote (WI or MN based candidates preferred) REPORTS TO: Quality ... Familiarity with AI workflows - Projects, Artifacts, agentic tools, and prompt engineering. * Food ...

Good Culture

Quality Data Analyst

La Crosse, WI · On-site +1

QUALITY DATA ANALYST LOCATION: Remote (WI or MN based candidates preferred) REPORTS TO: Quality ... Familiarity with AI workflows - Projects, Artifacts, agentic tools, and prompt engineering. * Food ...

Varsity Tutors

Data Science Tutor

Madison, WI · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Wisconsin

Afternoon Data Analyst R Programming information

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

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

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
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:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Wisconsin? For Afternoon Data Analyst R Programming jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Wisconsin look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Wisconsin are:
What cities in Wisconsin are hiring for Afternoon Data Analyst R Programming jobs? Cities in Wisconsin with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Analyst II

Sub-Zero & Wolf Appliance

Madison, WI

Full-time

Medical, Dental, Vision, Retirement

Re-posted 10 days ago

Job description

Sub-Zero, Wolf, and Cove the leading manufacturer of luxury kitchen appliances is a longstanding, family-owned company in the Madison area. Icons of design and paragons of performance and quality, Sub-Zero, Wolf, and Cove are the refrigeration, cooking, and dishwashing specialists found in world’s most luxurious homes. We look for team members who are driven by innovation and excellence, striving to serve our customers by doing what is right—with integrity, teamwork, and accountability.

The Data and Analytics Team within the Information Technology department provides enterprise data engineering, analytics, reporting, visualization, and predictive analytics solutions. The team utilizes a wide variety of advanced tools and technologies and works directly with a diverse community of leaders and stakeholders.

Growth and development are important aspects of this position. Whether you aspire to be a leader or a technical expert, this position will set you up for success in the future.

Primary Responsibilities

The Data Analyst II gathers, analyzes, and interprets data from across the organization delivering descriptive and predictive information for decision making. They design, develop, test, and implement data analyses, reporting, and visualizations to enable efficient, meaningful, and high value consumption of information assets. This role partners with business stakeholders to deeply understand their data needs and enable them with analysis techniques and reporting tools.

  • Work directly with stakeholders to understand and transform business requirements into data-driven solutions
  • Work iteratively, deploying changes using a CI/CD framework
  • Create relational and dimensional data models
  • Prepare reports and data visualizations
  • Proactively identify and mitigate data quality issues
  • Identify correlations, patterns, and trends in data sets
  • Train and mentor peers

We value our employees by providing:  

  • Competitive compensation based on skills  
  • Industry leading health, dental, and vision plans 
  • Generous 401 (K) savings and profit sharing 
  • On-site UW Health clinic, fitness center, and walking paths 
  • Education assistance and internal training programs 
  • Electric vehicle charging 
  • Maternity & paternity leave 
  • Interested in learning more on our robust benefits package we offer? Click here!

This position requires a pre-employment drug/alcohol test and background check, which will be administered after a conditional job offer is extended. A negative drug/alcohol test result is required for employment. Refusal to take the test or a positive result may disqualify a candidate from further consideration.  All drug testing will be conducted in accordance with federal and state laws.

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