Senior Technical Operations Specialist

Minitab named a Top Data Analysis solution in the 2026 Capterra Shortlist. STATE COLLEGE, Pa. - August 11, 2026 - Minitab, LLC, a global leader in data analytics, predictive modeling, and process improvement solutions, today announced that it has been named a Top 5 Product in the 2026 Capterra Shortlist for Data Analysis Software. The Capterra Shortlist Report identifies the best software solutions using a methodology that combines verified user reviews, customer ratings, and independent research. The inclusion of verified customer feedback underscores the value Minitab delivers to thousands of global organizations and the trust they place in Minitab to support critical analytical work. The recognition also highlights Minitab's continued momentum as a leading data analysis solution for global manufacturers and underscores the impact of Minitab's end-to-end data analytics platform, which helps organizations turn data into faster decisions, higher quality, and measurable business results. In the 2026 Data Analysis Software Shortlist, Minitab was highlighted for offering the best Artificial Intelligence and Machine Learning tools. In addition to expanding its end-to-end data analytics ecosystem, Minitab has embedded AI-enabled capabilities into core workflows to help users prepare data, build dashboards, select the optimal analytical methods, identify potential data issues, and interpret complex outputs in plain language. "Acknowledgment grounded in customer feedback is especially meaningful to us," said Jen Roan, Vice President of Software Development at Minitab. "Our customers expect analytics they can trust and tools that make complex data more accessible. We're bringing those two priorities together by blending statistical rigor with practical innovation to help organizations better understand and use their data to improve processes." The Capterra Shortlist follows Minitab's inclusion in G2's 2026 Best Software Awards for Best Data Analytics Solution. Together, these customer-driven accolades demonstrate Minitab's continued dedication to helping global organizations solve complicated problems with data. "We spend a great deal of time listening to customers and understanding the problems they need to solve. That feedback helps us continue to build powerful AI capabilities on top of our foundation of mathematical discipline, enabling people to make better decisions with confidence," Roan concluded. About Minitab, LLC Minitab is a global leader in data analytics solutions with over 50 years of experience helping organizations harness the power of their data to deliver high-quality products and services. By integrating statistical process analysis, predictive modeling, real-time monitoring, and continuous improvement solutions with embedded AI capabilities, Minitab helps organizations consolidate data, uncover insights, accelerate decision-making, and achieve measurable results. The world's leading companies and institutions rely on Minitab to solve critical challenges and drive sustained performance improvements. Minitab serves customers in more than 100 countries. Media Contact Albe Zakes Communications Director Email: [email protected] Phone: +1.267.221.4800 Minitab news. Get its free monthly e-newsletter for the latest Minitab news, tutorials, case studies, statistics tips and other helpful information. Follow Minitab.

Process Simulation Analysis Module: analyze data and optimize results. Simulation gives organizations the ability to test ideas before putting them into practice. From evaluating production schedules to facility layouts, process simulation helps reduce risk by modeling different scenarios before changes are implemented. Many organizations recognize the value of simulation, yet hesitate to adopt it more broadly because it appears to require specialized analytical knowledge. Simulation runs can generate hundreds or thousands of observations across multiple scenarios. Determining which scenario performs best, understanding how variation affects performance, and validating the assumptions behind a model all require more than just reviewing a summary report. Minitab's Process Simulation Analysis Module, a new add-on module for Minitab Statistical Software, is designed specifically for teams that use simulation to evaluate operational improvements. It combines statistical analysis, data visualization, and guided workflows that help users prepare inputs, analyze results, compare scenarios, and make smarter decisions. Understand the Story Behind Your Simulation Output When engineers and analysts need answers to important operational questions, a digital twin can help them test scenarios through simulation. Each simulation produces data that reveals what happened, why it happened, and how the system performed. But the value of those results depends on how well the data is interpreted. That is where data analytics becomes essential, turning simulation output into clear, actionable insights. * Are my simulation inputs based on realistic process behavior? * Which scenario delivers the most consistent performance? * How much variation exists across simulation runs? * Which process variables have the greatest impact on outcomes? Answering these questions requires statistical analysis, a core strength of Minitab Statistical Software (MSS). The Process Simulation Analysis Module brings together the tools needed to investigate simulation data within a guided workflow built directly into Minitab Statistical Software. A Complete Workflow for Process Simulation Analysis Build More Accurate Simulation Models Create stronger simulation inputs by using historical process data to understand how your process behaves in the real world. Identify appropriate probability distributions, analyze trends over time, build predictive models for process timing, and develop decision logic that reflects actual operating conditions. Explore and Compare Simulation Results Move beyond summary statistics to understand what your simulation is telling you. Visualize outputs with interactive charts, compare multiple scenarios, evaluate variation, and identify the process changes that deliver the best and most consistent performance. Optimize Process Performance with Statistical Analysis Use statistical methods to identify the variables that have the greatest impact on process outcomes. Design experiments more efficiently, evaluate multiple factors at once, and make process improvement decisions backed by data instead of trial and error. Simulation helps organizations reduce risk before making operational changes. The Process Simulation Analysis Module strengthens that process by helping users understand the data behind their models and the results those models produce. By combining simulation-focused workflows with Minitab's statistical capabilities, teams can: * Build simulation models using more representative process data. * Explore simulation results through interactive visualizations. * Compare scenarios with a deeper understanding of variation. * Investigate the factors that influence performance. * Support operational decisions with stronger analytical evidence. See How the Process Simulation Analysis Module Fits Your Workflow Every simulation workflow is different. Minitab Inc.'ll help you understand how the Process Simulation Analysis Module can support your process improvement initiatives and analytical needs.