Help us build the "System of Action" that supercharges global manufacturing teams.
QAD is entering a high-velocity era to architect the world’s first AI-native, agentic ERP. We are moving beyond legacy "systems of record" to build an autonomous platform where humans and AI work as a tag team to redefine how factories operate. Join us at this pivotal moment to build our next generation platform, lead the next generation of the Adaptive Enterprise and turn global speed into strategy.
- Responsible for planning, developing, implementing, and reporting on Support, Cloud Operations, and Customer Success metrics using both traditional BI tools and AI-driven analytics. Drives program governance for Google BigQuery, Looker Studio, Tableau, and Jira. Leverages machine learning models, predictive analytics, and Generative AI to analyze complex support datasets, uncover hidden trends, automate operational workflows, and deliver proactive insights that optimize support systems and processes.
- Accurately analyze and collect data to create business reports that provide insight into key data points for Support’s initiatives. Monitor and communicate performance data, usage accuracy and ROI. Watch for unusual trends or anomalies and engage appropriate leaders where action is required. Provides direct assistance as requested to prepare reports or analyze data from all levels of management within Support.
- Oversee and administer Tableau, Looker/Data Studio reports, Jira Dashboards, etc. Utilize established QAD processes and tools to verify data accuracy for audits. Monitor automated processes to ensure consistent and correct processing of data – and take a leading role in investigation and resolution of any issues.
- Use generative AI and machine learning to analyze past support interactions to extract trends and automate actions. Perform data analysis for generating and distributing management reports in an accurate and timely manner. Prepare and publish Monthly and Quarterly performance metrics for Support, including ROI results, and prepares quarterly accruals and final achievement reports.
- Contribute to departmental projects – including leading select initiatives independently.
- Support day to day operations, monitoring and problem resolution for any issues that arise with the governed tools and processes.
- Other duties as assigned
- Education: Education in, or equivalent experience in a high-tech Customer Support industry. Computer programming experience is a plus
- Professional degree: Data Analytics, Business Administration
- Experience: Minimum of 3 years of experience in data management, reporting platforms, and enterprise analytics. Proven track record of analyzing large, complex datasets to uncover trends and derive actionable business insights. Hands-on experience applying Generative AI, Natural Language Processing (NLP), or Machine Learning to analyze unstructured customer/support interaction data and automate reporting actions. Proficiency in data collection with familiarity in contracts or intellectual property entitlement. Strong planning, critical thinking, and problem-solving skills.
- Other Program / Supplemental Training: Data analytics, Tableau, Google Data Studio, and Business Analytics/Intelligence is required. CRM, CMDB and Project management experience is a plus.
- Computer skills: This position requires hands-on expertise in Advanced SQL Techniques (Window Functions, CTEs, Joins, Views, Scheduled Queries, etc). Perform data preparation, transformation, and validation using SQL, Excel, BI Tools. Experience in developing, designing and building BI dashboards and reports using Looker Studio and Tableau.
- Other knowledge: Apply data modelling techniques to ensure scalable and reusable analytical datasets.
Why QAD?
Structured Mentorship: Benefit from a structured program and training designed for rapid career development
Inclusive Culture: Join a collaborative and inclusive environment that champions learning, growth, and diverse perspectives
Ready to step into the future of manufacturing? Apply now and start building a System of Action!
About QAD:
QAD | Redzone is redefining manufacturing and supply chains through its intelligent, adaptive platform that connects people, processes, and data into a single System of Action. With three core pillars — Redzone (frontline empowerment), Adaptive Applications (the intelligent backbone), and Champion AI (Agentic AI for manufacturing) — QAD | Redzone helps manufacturers operate with Champion Pace, achieving measurable productivity, resilience, and growth in just 90 days.
QAD is committed to ensuring that every employee feels they work in an environment that values their contributions, respects their unique perspectives and provides opportunities for growth regardless of background. QAD’s DEI program is driving higher levels of diversity, equity and inclusion so that employees can bring their whole self to work.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
Skills Required
- Education or equivalent experience in a high-tech customer support industry
- Professional degree or background in Data Analytics or Business Administration
- At least 3 years of experience in data management, reporting platforms, and enterprise analytics
- Experience analyzing large, complex datasets to identify trends and actionable business insights
- Hands-on experience applying Generative AI, Natural Language Processing, or Machine Learning to unstructured customer or support interaction data
- Experience using data analytics, Tableau, Google Data Studio, and Business Intelligence tools
- Advanced SQL techniques, including window functions, CTEs, joins, views, and scheduled queries
- Experience with data preparation, transformation, and validation using SQL, Excel, and BI tools
- Experience designing and building BI dashboards and reports using Looker Studio and Tableau
- Knowledge of data modeling techniques for scalable and reusable analytical datasets
- Computer programming experience
- CRM, CMDB, or project management experience
QAD Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about QAD and has not been reviewed or approved by QAD.
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Leave & Time Off Breadth — Time off includes vacation, sick time, and paid parental leave, and is described positively across materials. Some U.S. roles reference “unlimited” PTO, indicating breadth beyond standard allocations.
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Wellbeing & Lifestyle Benefits — A virtual-first model with a home-office setup allowance and a monthly work-from-home stipend supports flexible, remote work. These lifestyle perks strengthen work–life balance and overall benefits appeal.
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Retirement Support — A 401(k) with company match is part of the core package and is regarded favorably. Retirement benefits are positioned as competitive within the offering.
QAD Insights
What We Do
QAD Inc. is a leading provider of next-generation manufacturing and supply chain solutions in the cloud. To succeed in a turbulent world, facing disruptions in supply and fluctuations in demand, manufacturers and supply chains must rapidly respond to change and seamlessly optimize agility, efficiency, and resilience for effective customer service. QAD delivers Adaptive Applications to enable these Adaptive Enterprises. Founded in Santa Barbara, California, QAD has customers in 84 countries around the world. Thousands of companies have deployed QAD enterprise solutions including enterprise resource planning (ERP), digital commerce (DC), supplier relationship management (SRM), digital supply chain planning (DSCP), global trade and transportation execution (GTTE), enterprise quality management system (EQMS), connected workforce and process intelligence. To learn more, visit www.qad.com, call +1 (805) 566-6100 or email [email protected]. Follow us on Twitter: https://twitter.com/QAD_Community Like our page on Facebook: https://www.facebook.com/QADerp Follow us on Instagram: https://www.instagram.com/qad_community








