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Afternoon Data Analyst R Programming Jobs in Wisconsin

NewYork-Presbyterian

Data Scientist

Cornell, WI

$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 ...

NYP - Westchester Division

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 ...

Varsity Tutors

Data Science Tutor

Milwaukee, 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 ...

Generac

Senior Platform & Analytics Analyst

Waukesha, WI · On-site

$86K - $108K/yr

Bachelor's degree in Data Science, Computer Science, Industrial Engineering, Statistics, or a ... Proficiency in SQL, Python, R, or similar languages for data manipulation and analysis. * Expertise ...

Dentaquest

Workflow Data Analyst

Grafton, WI · On-site

Manages and maintains configuration data required for core claims processing system settings ... Works with IT systems analysts and developers in order to help solve system defects, providing ...

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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, and why are they important?

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 July 2026, with employment types broken down into 1% As Needed, 55% Full Time, 35% Part Time, 2% Temporary, 2% Contract, and 5% Nights. Highlights an 99% Physical, and 1% Remote job distribution.
Lead Product Quality - Data Analyst

Lead Product Quality - Data Analyst

Harley-Davidson

Wauwatosa, WI

Other

Medical, Retirement

Re-posted 7 days ago

Job description

Auto req ID: 55270 
Title: Lead Product Quality - Data Analyst 
Job Function: Continuous Improvement and Quality 
Location: PDC
Workplace Category:Onsite 
Company: Harley-Davidson Motor Company 
Full or Part-Time: Full Time 
Shift: SHIFT1 

At Harley-Davidson, we are building more than machines. It's our passion and commitment to continue the evolution of this storied brand, and heighten the desirability of the Harley-Davidson experience. To keep building our legend and leading our industry through innovation, evolution, and emotion we need the best and brightest talent. We stand for the timeless pursuit of adventure. Freedom for the soul. Are you ready to join us?

The Harley-Davidson Motor Company Product Development Center (PDC) located in Wauwatosa, WI is home to the mantra - You dream it. We build it. Join our team as a  Lead Product Quality - Data Analyst.

Job Summary

The Lead Product Quality Data Analyst plays a critical role in shaping data-driven decision making across Harley-Davidson's global Quality organization. This role leads the strategy, development, and delivery of advanced analytics that drive improvements in product quality, warranty performance, and customer satisfaction.

This individual acts as a trusted advisor and subject matter expert, translating complex data into actionable insights, influencing cross-functional decisions, and enabling proactive identification and resolution of quality issues across product development, manufacturing, and field performance.


The ideal candidate thrives in ambiguity, demonstrates strong business acumen, and is passionate about uncovering the "why" behind data to drive meaningful outcomes.

Job Responsibilities

Strategic Leadership

  • Define and lead analytics strategy for warranty and quality data
  • Establish best-in-class approaches for data visualization and user interaction
  • Act as global SME for product quality analytics

Analytics & Insights

  • Apply advanced analytics techniques, including predictive modeling and machine learning, to anticipate quality risks
  • Develop scalable data solutions and automate data pipelines for improved efficiency
  • Ensure data accuracy, integrity, and governance across quality systems
  • Leverage modern analytics tools and AI capabilities to enhance insight generation

Data Product & Reporting

  • Design and deliver dashboards, KPIs, and self-service analytics tools
  • Standardize quality metrics across global operations
  • Improve accessibility and usability of data across stakeholders

Operational Support

  • Support investigations into emerging quality concerns
  • Lead warranty review cadence and decision-making forums
  • Enable data-driven problem-solving (e.g., 8D, root cause analysis)

Cross-Functional Leadership

  • Partner with Engineering, Manufacturing, Warranty, and Supplier Quality
  • Influence decision-making at multiple organizational levels
  • Coach and mentor analysts and business stakeholders
Education Requirements
High School Diploma or Equivalent Required
Education Specifications

A bachelor's degree in a relevant quantitative discipline preferred. Advanced training in statistics, predictive analytics, business intelligence or a related field is preferred.

Experience Requirements

This position typically requires 8+ years of experience in data analytics, preferably in manufacturing or product quality environments.  In addition, the successful candidate will have demonstrated the following:

  • Proven track record of influencing business decisions through data insights
  • Experience supporting quality systems, warranty analysis, or field performance analytics strongly preferred
  • Demonstrated ability to work in ambiguous environments and lead cross-functional initiatives
  • Proven expertise with various quantitative techniques, data formats, and methodologies   
    • Data Visualization: Power BI, Tableau
    • Data Processing: SQL, Alteryx, Python, R
    • Statistical Methods: Reliability analysis (Weibull), regression, hypothesis testing
    • Data Platforms: Experience working with large, complex datasets across multiple systems
  • Demonstrated ability to lead without authority and influence cross-functional teams
  • Experience presenting to senior leadership and driving actionable outcomes
  • Ability to translate complex analytics into clear business narratives
  • General knowledge of manufacturing processes (assembly, machining, welding) a plus.

The pay range shown represents the national average pay range for this role. Your pay may be more or less than the stated range and is dependent on your geographic location and level of experience.

We offer an inclusive compensation package for all full-time salaried employees including, but not limited to, annual bonus programs, health insurance benefits, a 401k program, onsite fitness centers and employee stores, employee discounts on products and accessories, and more. Learn more about Harley-Davidson here. 

Applicants must be currently authorized to work in the United States.

Direct Reports: No  
Travel Required: 0 - 10%  
Pay Range: $107,100 - $165,900 
Visa Sponsorship: This position is not eligible for visa sponsorship or visa transfer  
Relocation: This position is eligible for domestic relocation assistance (within posted country)  

Apply