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Quality Engineering Specialist III

Generac · Waukesha, WI · Full time

Posted Aug 25, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about a time your analysis showed something a business leader didn't want to hear. How did you present it?

What they are checking: courage and communication skill when data conflicts with stakeholder expectations

Describe a time you standardized reporting that had been done inconsistently across different sites or teams.

What they are checking: experience driving reporting governance and adoption across a fragmented organization

How do you explain a technical finding, like a data anomaly or trend, to someone who has no background in analytics?

What they are checking: ability to translate technical work for non-technical stakeholders, a core stated requirement

Tell me about a time you mentored or coached someone on a data or analytics skill.

What they are checking: actual coaching experience versus a checkbox line item on the requirements list

What would you do

Say a quality KPI on your dashboard suddenly looks wrong and a plant manager is asking about it before a leadership meeting in an hour. What do you do?

What they are checking: composure and troubleshooting process under time pressure with high visibility

If a supplier's quality metrics look fine in the dashboard but plant teams are complaining about parts, how would you dig into that mismatch?

What they are checking: skepticism toward data and instinct to reconcile reported numbers against ground truth

How comfortable are you owning a QMS analytics program mostly on your own, with a director you report to but no large team around you day to day?

What they are checking: fit for an individual-contributor role that requires self-direction and influence without authority

About the work

Walk me through a Power BI dashboard you built for quality or operations data, from the raw source to the final report someone actually used.

What they are checking: whether they can own the full pipeline from messy source data to a decision-ready visualization, not just build charts

How do you pull data from NC/CAPA, supplier quality, and audit systems into one clean reporting model when those systems weren't designed to talk to each other?

What they are checking: real experience with data integration and governance across disconnected enterprise quality systems

What SQL or Python work have you done to prep data before it ever reaches Power BI?

What they are checking: depth beyond drag-and-drop dashboarding, actual data engineering competence

How would you design a scorecard that rolls up corrective actions, supplier performance, and audit results into a single view for corporate leadership?

What they are checking: ability to design KPI architecture, not just replicate what already exists

What's an example of using automation or AI-driven analytics to catch a risk before it became a bigger problem?

What they are checking: whether their claimed 'predictive insights' experience is real or just a buzzword on the resume

What's your approach to data governance when the same metric, like a corrective action count, gets calculated differently by different teams?

What they are checking: understanding of definitions, single source of truth, and governance discipline in enterprise reporting

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The full job description

As published by Generac.

We believe power is a promise - a shared commitment to be there for others when it matters most. For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future. Ready to Power a Smarter World with us? The Corporate Quality – Quality Engineering Specialist III transforms Quality Management System (QMS) data into meaningful insights that drive product quality, customer satisfaction, and operational excellence. This role partners with cross-functional teams to develop analytics, reporting, and dashboards across NC/CAPA, supplier quality, audit management, customer issue resolution, and document control processes. Reporting to the Corporate Director, Quality Systems and Compliance, this individual plays a key role in enabling data-driven decision-making across the enterprise. Major Responsibilities: • QMS Data Integration and Governance: Manage and optimize quality data from enterprise systems including NC/CAPA, supplier quality, audits, customer issues, document management, CRM platforms, data warehouses, and cloud-based systems to ensure accurate and actionable reporting. • Quality Analytics and Decision Support: Analyze quality data to identify trends, risks, process gaps, and improvement opportunities. Translate complex data into actionable recommendations that support business and quality objectives. • Power BI Reporting and KPI Visualization: Design, maintain, and enhance Power BI dashboards, scorecards, and reports that provide visibility into key quality metrics, including corrective actions, supplier performance, audit results, customer issues, and overall QMS effectiveness. • Automation and Predictive Insights: Leverage BI tools, automation, and AI-driven analytics to streamline reporting, improve data accessibility, identify emerging risks, and support proactive decision-making. • QMS Analytics Subject Matter Expertise: Serve as a trusted resource for Corporate Quality and business leaders by supporting KPI development, data governance, dashboard interpretation, reporting standardization, and continuous improvement initiatives. • Travel: Ability to travel domestically up to 10% to support business, site, and Corporate Quality initiatives. Minimum Job Requirements: Education • Bachelor’s degree or equivalent experience. Certification / License • Microsoft Power BI Data Analyst Professional Certificate required. Work Experience • 7+ years of data analytics and Power BI experience. • 5+ years of business analysis experience supporting project-based initiatives. • Experience developing reports and dashboards for manufacturing, quality, service, or operational metrics. Knowledge / Skills / Abilities • Advanced proficiency in Power BI, SQL, Python, and Microsoft Excel. • Strong experience creating dashboards, visualizations, and performance reporting. • Exceptional analytical, problem-solving, and critical-thinking skills. • Ability to communicate complex technical findings to technical and non-technical stakeholders. • Strong business acumen, professionalism, and sound judgment. • Comfortable working in a fast-paced, evolving environment. • Ability to influence process improvements through data-driven insights. • Demonstrated integrity, discretion, and accountability. • Proven ability to mentor, coach, and support team development. Preferred Job Requirements: Education • Master’s degree preferred. Work Experience • Experience working with Quality Management Systems (QMS), manufacturing quality data, supplier quality metrics, or enterprise reporting platforms preferred. Knowledge / Skills / Abilities • Experience with advanced data visualization, dashboard strategy, reporting automation, and analytics solutions that improve business visibility and decision-making. “We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.”

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