Power BI Specialist (Data Analyst)

Stadler offers a wide range of international career opportunities. Here you get the chance to expand your potential, take on meaningful responsibilities, and deliver outstanding performance within dedicated teams. We are looking for motivated individuals who want to shape the mobility of tomorrow with us. Are you ready to achieve great things with us? The Power BI Specialist (Data Analyst) is responsible for collecting, analyzing, and interpreting manufacturing and supply chain data to support operational efficiency, inventory optimization, production planning, and strategic decision-making. This role partners closely with Operations, Supply Chain, Production, Finance, and IT teams to develop reporting solutions, dashboards, and insights that drive continuous improvement across the organization. Key Functions

• Develop, maintain, and enhance Power BI dashboards, reports, and data visualizations to provide actionable insights for Manufacturing, Operations, and Supply Chain leadership.
• Analyze manufacturing, inventory, procurement, logistics, and supply chain data to identify trends, risks, and opportunities for process improvement.
• Extract, validate, and interpret data from ERP systems, including SAP and Infor, ensuring data integrity and accuracy across reporting platforms.
• Leverage advanced analytical skills and business intelligence tools to support data-driven decision-making and operational performance.
• Partner with cross-functional stakeholders to define reporting requirements, develop KPI metrics, and deliver meaningful business insights.
• Monitor and report on key operational metrics, including production efficiency, inventory levels, forecast accuracy, on-time delivery, supplier performance, and capacity utilization.
• Support continuous improvement initiatives by conducting root cause analyses and recommending data-backed solutions to improve manufacturing and supply chain performance.
• Automate reporting processes and improve the accessibility, accuracy, and consistency of operational data.
• Utilize experience with SAP, Infor, and Power BI to translate complex business data into clear reporting and dashboards that support strategic and operational objectives within a manufacturing environment.
• Collaborate with Manufacturing, Supply Chain, Finance, and IT teams to optimize reporting capabilities and improve organizational decision-making.

• 3+ years of experience in a data analyst role within a manufacturing, operations, or supply chain environment.
• Experience writing complex queries, joins, views, aggregations, and performance-optimized SQL statements.
• Advanced experience with Microsoft Power BI, including: Dashboard development, Data modeling, DAX calculations Power Query.
• Strong proficiency in SQL for data extraction, transformation, validation, and analysis from relational databases.
• Experience working with data warehouses, structured datasets, and enterprise reporting environments.
• Knowledge of statistical analysis, trend analysis, forecasting, and data-driven performance measurement techniques.
• Experience designing, developing, and maintaining operational and executive KPI reporting.
• Experience working with SAP and/or Infor ERP systems.
• Understanding of manufacturing and supply chain performance metrics such as inventory turns, OTIF, OTD, forecast accuracy, production efficiency, and supplier performance.
• Advanced proficiency in Microsoft Excel, including Pivot Tables, Power Query, and complex formulas.
• Strong problem-solving, analytical, and critical-thinking skills.
• Excellent communication and presentation skills.
• Experience with Python or other analytical programming languages is preferred
• This role is based in Salt Lake City, UT and is not eligible for relocation assistance.

Paid training, Referral program, Paid parental leave, Parental leave, Health insurance, 401(k) matching, Paid time off, Vision insurance, * Competitive Pay (plus Profit Sharing potential)

• Low-cost, comprehensive Medical / Dental / Vision / Rx plans
• 401(k) with employer match after 90 days
• Generous Paid Time Off / 9 Paid Holidays / Extended Paid Holiday (Dec. 25 - Jan 1)
• Paid training / Career development
• Tuition and training reimbursement
• Paid maternity and parental leave
• Company-paid life and disability insurance
• Referral bonus program