Lead Product Quality - Data Analyst

Harley-Davidson•Milwaukee, WI

4d•$107,100 - $165,900•Onsite

About The Position

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.

Requirements

High School Diploma or Equivalent Required
8+ years of experience in data analytics, preferably in manufacturing or product quality environments
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

Nice To Haves

A bachelor’s degree in a relevant quantitative discipline preferred.
Advanced training in statistics, predictive analytics, business intelligence or a related field is preferred.
General knowledge of manufacturing processes (assembly, machining, welding) a plus.

Responsibilities

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
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
Design and deliver dashboards, KPIs, and self-service analytics tools
Standardize quality metrics across global operations
Improve accessibility and usability of data across stakeholders
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)
Partner with Engineering, Manufacturing, Warranty, and Supplier Quality
Influence decision-making at multiple organizational levels
Coach and mentor analysts and business stakeholders