> Markdown version of [/jobs/ext/4429543-business-intelligence-analyst](https://www.wearedevelopers.com/jobs/ext/4429543-business-intelligence-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Business Intelligence Analyst

- **Company:** HSP US, LLC
- **Location:** Charlotte, NC, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Dictionary, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Data Visualization, Database Queries, Identity and Access Management, Python (Programming Language), Machine Learning, SAP ERP, Power BI, SAP Manufacturing Execution (ME), Data Streaming, Tableau (Software), Technical Data Management Systems, Scripting, Cloud Platform System, Data Lineage, SAP S/4HANA, Looker Analytics, Data Pipelines
- **Published:** October 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a8b0d51c78121a48

## About the Role

* 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

## Description

We are seeking a dynamic and detail-oriented Business Intelligence (BI) Analyst to drive data-driven decision-making across our organization. In this role, you will leverage advanced analytics, visualization tools, and database management techniques to transform complex data sets into actionable insights. Your expertise will empower teams to optimize operations, enhance strategic planning, and improve overall business performance. This position offers an exciting opportunity to work with cutting-edge BI tools and methodologies in a fast-paced environment committed to innovation and continuous improvement., * 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)