Data Analyst, SCM Planning & Analytics

Job summary

The Data Analyst will develop and maintain Power BI dashboards, KPI scorecards, and operational reports to support the North America Supply Chain organization. They will partner with stakeholders to define reporting needs, automate recurring workflows, and ensure data accuracy for business reviews.

Job details

Position Summary The Data Analyst supports the North America Supply Chain organization by developing reports, dashboards and analyses that improve visibility into planning and operational performance. Reporting to the Head of Analytics & Reporting, SCM, this role works with business stakeholders local and globally to understand reporting needs, maintain reliable data, and simplify recurring analytical work. The ideal candidate has hands-on experience with Power BI, Excel and data from multiple sources. They can turn business questions into clear analysis, communicate findings to stakeholders, and contribute to reporting and automation projects with guidance from the team lead. What success looks like in your first 6 months Own the NAM S&OP KPI scorecard end to end, from data model to monthly review. Automate at least [TO BE DEFINED] recurring manual reports. Document the metric definitions and data sources for the core supply chain KPIs. Key Responsibilities Develop and maintain Power BI dashboards, KPI scorecards and operational reports for supply chain teams. Partner with stakeholders to define reporting needs, analyze performance, and communicate findings for business reviews. Improve recurring reports and workflows through automation and self-service tools. Use approved AI tools to support analysis and reporting, validating outputs against source data. Check data quality, investigate discrepancies, and document metrics, calculations and data sources. Support users of analytics tools and provide reporting for supply reviews, S&OP and IBP processes. Qualifications – Required Bachelor’s degree in Supply Chain, Engineering, Information Systems, Analytics, Data Science, Business or a related field, or equivalent experience. Candidates from other disciplines are welcome if they have demonstrated experience with data analytics, BI and reporting tools. 2+ years of experience in data analytics, business intelligence, reporting or a related analytical role. Hands-on experience with Power BI, including report development, data modeling, Power Query and DAX. Strong Microsoft Excel skills for data analysis and reporting. Experience working with data from multiple sources and verifying its accuracy. Experience improving or automating recurring reports. Advanced English, written and spoken, for working with US and Canadian stakeholders. Ability to communicate analytical findings to business partners and manage multiple priorities. Qualifications – Preferred Experience in supply chain, planning, manufacturing, procurement, logistics, inventory or customer service. SQL and database queries (Databricks or similar cloud data platforms is a plus). Experience with SAP data. Exposure to S&OP or IBP processes. Success Profile The successful candidate: Produces accurate, useful reports and dashboards that address business needs. Ask questions to understand the process behind the data. Treats data accuracy as non-negotiable and documents findings clearly. Works effectively with stakeholders across countries and time zones. Looks for practical ways to improve reporting efficiency. Is organized, accountable and attentive to detail. RHI Magnesita is the leading global supplier of high-grade refractory products, systems and solutions which are critical for high-temperature processes in a wide range of industries. Serving customers around the world, RHI Magnesita has more than 20,000 employees in 65 main production sites (including raw material sites), 12 recycling facilities and more than 70 sales offices. Our North American team helps build refractory products that solve the most extreme manufacturing challenges. From advanced lithium-ion batteries for laptops and EVs and specialized glass on smartphones and tablets, to the steel and cement that build the world around us, our high-performance bricks and linings make it possible to melt, bend, shape, and refine these materials at extreme temperatures. With a vertically integrated value chain, RHI Magnesita has helped forge the materials that build industries and economies for almost 200 years. Refractory products are essential to the production processes for cement, steel, aluminum, and many other industrial producers in the region. Come get fired up with our North American team!

What you’ll do

The Data Analyst will develop and maintain Power BI dashboards, KPI scorecards, and operational reports to support the North America Supply Chain organization. They will partner with stakeholders to define reporting needs, automate recurring workflows, and ensure data accuracy for business reviews.

Requirements

Candidates must have a bachelor's degree in a relevant field and at least 2 years of experience in data analytics or business intelligence. Proficiency in Power BI, Excel, and experience with data modeling and automation are required.

Listed skills

• Power BI · Preferred
• SAP · Preferred
• SQL · Preferred
• Supply chain management · Preferred
• Data analysis · Preferred
• Microsoft Excel · Preferred
• Reporting · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Power BI
• Excel
• Data Analysis
• Data Modeling
• Power Query
• DAX
• Supply Chain Management
• KPI Scorecards
• Reporting
• Automation
• Data Quality
• Business Intelligence
• SQL
• SAP
• S&OP
• IBP
• Business Intelligence Reporting
• Sales and Operations Planning
• Smartphone Operation
• Operational Performance Management
• Supply Chain
• Workflow Management
• Data Analysis Expressions (DAX)
• Report Development
• Supply Chain Planning
• Planning
• Logistics
• Microsoft Excel
• Dashboard
• Customer Service
• Communication
• Procurement
• Information Systems
• Database Queries
• Economics
• English Language
• Sales
• Key Performance Indicators (KPIs)
• Production Process
• SAP Applications
• Self Service Technologies
• SQL (Programming Language)
• Team Leadership
• Tablets
• Data Science
• Databricks
• Reporting Tools

Job areas

• Data & Analytics
• Logistics
• Manufacturing
• Technology
• Data Analytics Analyst
• Data Analyst
• Statistical, Mathematical and Related Associate Professionals
• Business Intelligence Analysts
• Data Scientists

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