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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # MP&L Data Analyst - **Company:** Modine Manufacturing Company - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Business Analytics Applications, Big Data, Information Systems, Data Integrity, Data Visualization, Decision Support Systems, Excel Formulas, Pivot Tables, Power BI, SQL Databases, Tableau (Software), Data Analytics, Data Management - **Published:** July 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=593759f53792a45b ## About the Role * 2-5 years of experience in supply chain analytics, data analysis, or a related role within a manufacturing or operations environment. * Strong analytical skills with the ability to interpret complex data and translate it into actionable insights. * Proficiency in Microsoft Excel (advanced formulas, pivot tables) and data visualization tools (e.g., Power BI, Tableau). * Working knowledge of ERP/MRP systems and supply chain processes. * Strong attention to detail and data accuracy. * Effective communication and collaboration skills. Preferred Qualifications: * Experience supporting materials planning, production planning, or logistics functions or a desire to learn these functions. * Knowledge of supply chain KPIs, forecasting concepts, and inventory management principles. * Experience with SQL, data modeling, or advanced analytics tools. * Lean, Six Sigma, or continuous improvement experience a plus. Education Requirements: * Bachelor's degree in Supply Chain Management, Business Analytics, Industrial Engineering, Information Systems, or a related field. ## Description Remote: Up to 25% Travel The MP&L Data Analyst is responsible for collecting, analyzing, and interpreting supply chain data to support decision-making across materials planning, production, inventory, and logistics. This role transforms complex data into actionable insights that improve service levels, reduce costs, and enhance operational performance. The MP&L Data Analyst partners with planning, procurement, manufacturing, and logistics teams to develop standardized reporting, improve data accuracy, and support continuous improvement initiatives. This role plays a critical part in enabling data-driven supply chain execution and long-term planning., Data Analysis & Reporting * Develop, maintain, and automate dashboards and reports related to inventory, production output, capacity, supplier performance, and logistics. * Train team members on the dashboards and reports on how to use them more effectively. * Analyze large data sets to identify trends, risks, and improvement opportunities across the supply chain. * Support KPI development and performance tracking for MP&L and operations teams. * Ensure data accuracy, consistency, and alignment across systems and reports. Supply Chain Performance Support * Analyze inventory health, including turns, excess and obsolete (E&O), and service-level performance. * Support materials planning and master scheduling teams with data insights and scenario analysis. * Evaluate supplier forecast accuracy and planning effectiveness. * Assist in team problem solving initiatives Systems & Process Improvement * Support process reporting enhancements, upgrades, and new analytics tools as required. * Identify opportunities to streamline reporting, improve data visibility, and reduce manual effort. * Support ERP/MRP data integrity, including planning parameters, master data, and transactional accuracy. * Participate in continuous improvement initiatives related to supply chain analytics and decision support. Cross-Functional Collaboration * Partner with supply chain, manufacturing, finance, and IT teams to align data and reporting needs. * Communicate analytical findings clearly to both technical and non-technical stakeholders. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [The state of MLOps - machine learning in production at enterprise scale](https://www.wearedevelopers.com/videos/369-the-state-of-mlops-machine-learning-in-production-at-enterprise-scale) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Dev Digest 212: WebMCP or MCP, What is DevRel, AI's 10% Productivity Boost, and a 49MB Web Page…](https://www.wearedevelopers.com/magazine/717-dev-digest-212-webmcp-or-mcp-what-is-devrel-ai-s-10-productivity-boost-and-a-49mb-web-page) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Now is the time for industrialized software development](https://www.wearedevelopers.com/magazine/601-now-is-the-time-for-industrialized-software-development) - [From developer to manager – what does it take to become an engineering manager?](https://www.wearedevelopers.com/magazine/42-from-developer-to-manager-what-does-it-take-to-become-an-engineering-manager) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters)