Business Intelligence Analyst

Role overview

Data platform and analytics

• Design, build, and maintain scalable data pipelines across MES, ERP, and WMS.
• Develop production-grade data models for traceability, OEE, and core manufacturing KPIs.
• Establish data governance, data-quality rules, and automated validation checks.
• Integrate factory systems, IoT devices, and sensor data.
• Own the data warehouse, including schema design, storage optimization, access control, and platform health.
• Maintain data dictionaries, pipeline documentation, and data lineage.
• Manage data security and access controls across systems, pipelines, and reporting layers.
• Monitor pipeline health, lead incident response for disrupted flows, and document root causes.
• Automate recurring reporting and data workflows; enable predictive maintenance, real-time monitoring, and anomaly detection.
• Partner with IT on reliable equipment-to-cloud data flow and explore AI/ML for forecasting, quality prediction, and process optimization.
• Build operational dashboards and executive reports using Power BI, Tableau, or other tools.

Business partnership

• Connect pipeline outputs and dashboard metrics to business decisions and translate between technical and non-technical stakeholders.
• Contribute to operations meetings and finance reviews; understand manufacturing economics, cost of poor quality, inventory, working capital, supply-chain tradeoffs, and factory impact on P&L.

Qualifications

• At least 3 years in BI, data analysis, or data engineering roles; strong SQL skills.
• Experience building dashboards with Power BI, Tableau, Looker, or similar tools; understanding of ETL/ELT and data modeling.
• Able to work in a fast-paced environment where systems and processes are being built from scratch.
• Manufacturing data, production, or OT experience is a strong plus; familiarity with MES, ERP, WMS, or EPS systems.
• Scripting experience is requested, with Python preferred; SAP experience with ECC, S/4HANA, or manufacturing modules.
• Exposure to IoT, PLC data, or industrial data sources.

Benefits

• Benefits include 401(k), health and life insurance, paid holidays, and parental leave.

Work location

• Work location is in person.