Statistical software and process improvement platform for quality-driven enterprises
Minitab operates a mature analytics and quality software business with deep roots in manufacturing and healthcare, now executing a multi-geography sales expansion (hiring heavily in DACH, APAC, and North America) and building out partner-channel infrastructure. The tech stack—Oracle Fusion, MySQL, C++/C#, React, Docker/Kubernetes—suggests active modernization of a legacy statistical core into cloud-native deployments. Projects cluster around partner enablement and mid-market GTM in China, while pain points (adopting advanced analytics, establishing shared data foundations, scaling renewal processes) reveal an organization shifting from traditional perpetual-license model toward SaaS-like operations and deeper customer data integration.
Minitab is a global statistical software and process improvement platform serving manufacturing, healthcare, technology, and education sectors. The product suite spans statistical analysis, real-time process monitoring, quality control, and continuous improvement methodologies (Six Sigma, Lean). Revenue comes from a mix of software licenses, training services, and consulting, with a significant portion through global partner channels. Operating across 100+ countries with headquarters in State College, PA, Minitab maintains a 201–500 person organization structured around sales (dominant department), engineering, and go-to-market functions.
Core: Oracle Fusion, MySQL, C++, C#, Python. Frontend: React, Angular, Vue, jQuery. DevOps: Docker, Kubernetes. Marketing tech: HubSpot, Marketo, Adobe Experience Manager, Salesforce.
201–500 employees. Currently 46 open roles with 27 posted in the last 30 days, predominantly in sales and business development.
Minitab's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.