Business Intelligence Analyst

Business Intelligence Analyst HSP US:
Building the Future of Energy

At HSP US, we’re looking for motivated, goal-oriented engineering professionals who want to grow their careers while contributing to high-impact work in the energy sector. If you’re energized by technical problem-solving, customer collaboration, and creating tailored engineering solutions, this role is for you. HSP US is embarking on an exciting new chapter as we prepare to launch a brand-new greenfield manufacturing facility in the United States.

This is a rare opportunity to join a founding team and help build a world-class operation from the ground up. From shaping processes and systems to influencing culture and driving operational excellence, your contributions will have a lasting impact on the future of our business. As a fast-growing organization, we are investing in state-of-the-art manufacturing capabilities, innovative technologies, and a high-performance culture centered around quality, safety, and continuous improvement.

Joining HSP US means more than taking on a new role; it means helping create the foundation of a facility, a team, and a business that will power the energy infrastructure of tomorrow. If you're looking for the opportunity to make a meaningful impact, accelerate your professional growth, and be part of something truly transformative from day one, we invite you to join us on this journey.

Growth Opportunity: Join a high‑performance environment where data is a strategic asset. You’ll work with modern tools, real‑time factory data, and cross‑functional teams to build analytics solutions that improve efficiency, quality, and throughput.

Competitive Pay & Benefits: Strong compensation, bonus potential, full health coverage, and meaningful PTO, including diverse days to celebrate what matters to you.

Impact from Day One: Your dashboards and insights will immediately shape production planning, quality performance, supply chain decisions, and financial outcomes. This is a role where your work is seen, used, and valued daily.

• 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…