Business Intelligence Analyst

Design, build, and maintain scalable data pipelines across MES, ERP, WMS

Develop production-grade data models supporting traceability, OEE, and core manufacturing KPIs

Establish data governance, data quality rules, and automated validation checks Implement integrations with factory systems, IoT devices, and sensor data

Own and maintain data warehouse, including schema design, storage optimization, access control, and platform health

Maintain data documentation including data dictionaries, pipeline documentation, and data lineage to ensure institutional knowledge is captured and accessible

Own data security and access management practices, ensuring appropriate controls across systems, pipelines, and reporting layers

Monitor pipeline health and lead incident response when data flows are disrupted, ensuring fast resolution and root cause documentation

Automate recurring reporting and data workflows to reduce manual effort

Enable predictive maintenance, real‑time monitoring, and anomaly detection

Partner with IT team to ensure reliable data flow from equipment to cloud systems

Explore and apply AI/ML techniques to manufacturing data, including demand forecasting, quality prediction, and process optimization

Understand the why behind the data, connecting pipeline outputs and dashboard metrics to real business decisions.

Translate between technical and non‑technical stakeholders; able to contribute effectively to both operations meetings and finance reviews.

Demonstrate familiarity with core business functions, including manufacturing economics, cost of poor quality, inventory and working capital, supply chain tradeoffs, and how factory performance impacts the P&L.

Build operational dashboards and executive reports (Power BI/Tableau)

3+ years in BI, data analysis, or data engineering roles

Strong SQL skills

Experience building dashboards (Power BI, Tableau, Looker, etc.)

Understanding of ETL/ELT concepts and data modeling

Ability to work in a fast-paced environment where systems and processes are being built from scratch

Experience with manufacturing data, production environments, or OT systems is a strong plus

Familiarity with MES/ERP/WMS/EPS systems

Experience with scripting (Python preferred)

SAP experience (ECC, S/4HANA, or SAP manufacturing modules)

Exposure to IoT, PLC data, or industrial data sources

HSP is a global leader in high‑voltage bushing technology, delivering innovative, reliable solutions that keep the energy sector moving. For over a century, our expertise has supported grid stability and the evolution of modern power systems.

Now, we’re bringing that legacy to Charlotte, North Carolina. HSP US is growing fast, uniting engineering, operations, and manufacturing talent to build high‑performance products for customers across the country.

With Charlotte’s booming energy industry and vibrant workforce, it’s the perfect place to shape the future of high‑voltage technology

Our Commitment Trench Group invites applications from all qualified individuals and is committed to fostering workplace diversity. We provide accommodations to applicants with disabilities throughout our hiring process. If you require this information in an alternate format, need communication support, or need accommodation in applying for a posting and/or are selected for an interview, don't hesitate to reach out to us. Trench utilizes artificial intelligence in its job scanning and recruitment process to effectively find the candidate most suitable for each position.

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