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Full Stack Data Analyst Jobs in Wisconsin (NOW HIRING)

Sanoma

Business Intelligence Analyst

Belgium, WI

Als Data Analist help je onze organisatie betere beslissingen nemen door data om te zetten in ... Je werkt met een moderne data stack (SQL, Power BI,...) en krijgt veel autonomie om end-to-end ...

KOHLS

Senior Data Engineer (Remote)

Menomonee Falls, WI · Remote

$123K - $162K/yr

Integrate GenAI tools such as OpenAI, Gemini, and Anthropic LLMs for intelligent data quality and analytics enhancement. * Collaborate with stakeholders, data scientists, and full stack engineers to ...

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All JobsFull Stack Data Analyst JobsFull Stack Data Analyst Jobs in Wisconsin

Full Stack Data Analyst information

See Wisconsin salary details

$34.3K

$83.4K

$137.3K

How much do full stack data analyst jobs pay per year?

As of Jun 18, 2026, the average yearly pay for full stack data analyst in Wisconsin is $83,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 per year, depending on experience, location, and employer.

What is the difference between Full Stack Data Analyst vs Data Scientist?

AspectFull Stack Data AnalystData Scientist
Required SkillsData analysis, visualization, basic programming, SQL, reportingAdvanced programming, statistical modeling, machine learning, data engineering
Work EnvironmentBusiness teams, analytics departments, reporting toolsResearch teams, data science departments, AI/ML projects
CertificationsData analysis, SQL, Excel certificationsData science, machine learning, Python/R certifications
Industry UsageBusiness intelligence, marketing, financeResearch, AI development, predictive modeling

While both roles involve working with data, Full Stack Data Analysts focus on end-to-end data analysis and reporting within business contexts, whereas Data Scientists develop advanced models and algorithms for predictive insights. The roles often overlap in skills like SQL and programming, but Data Scientists typically require deeper expertise in statistical methods and machine learning.

What are popular job titles related to Full Stack Data Analyst jobs in Wisconsin? For Full Stack Data Analyst jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Analyst jobs in Wisconsin look for? The top searched job categories for Full Stack Data Analyst jobs in Wisconsin are:
What cities in Wisconsin are hiring for Full Stack Data Analyst jobs? Cities in Wisconsin with the most Full Stack Data Analyst job openings:
Full Stack Data Analyst jobs near you
Infographic showing various Full Stack Data Analyst job openings in Wisconsin as of June 2026, with employment types broken down into 40% Full Time, 54% Part Time, and 6% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $83,413 per year, or $40.1 per hour.

Lead Product Quality - Data Analyst

Harley-Davidson

Wauwatosa, WI

Full-time, Part-time

Medical, Retirement

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)  

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