Business Intelligence Engineer

H.C. Starck Solutions

$95K — $110K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's in Data Analytics, Computer Science, Industrial Engineering, or related field
  • 5+ years of analytics experience, 3+ years in Power BI implementations
  • Advanced skills in Power BI, DAX, and Power Query (M)
  • Experience with ERP, SQL, and Manufacturing Execution Systems (MES) integration
  • Strong knowledge of ETL processes and database architecture
  • Familiarity with manufacturing KPIs and quality systems preferred
  • Excellent communication and project management skills.

Responsibilities

  • Architect and deploy enterprise-level Power BI data models and dashboards
  • Manage Power BI Service environments including workspaces and deployment pipelines
  • Develop complex Power Query transformations and automated ETL processes
  • Migrate legacy reporting systems to cloud-based analytics platforms
  • Integrate Power BI with ERP systems and other operational data sources
  • Create automated dashboards for quality systems and operational KPIs
  • Establish reporting standards and ensure data governance across the organization.

Benefits

  • Lead the company's Power BI and Business Intelligence strategy
  • Build a modern analytics platform for manufacturing and quality support
  • Collaborate on high-impact digital transformation initiatives
  • Opportunity to influence future enterprise reporting and decision making
  • Comprehensive benefits package including medical, dental, vision coverage
  • 401(k) with company match, paid time off, and holidays
  • Tuition assistance and professional development opportunities.
Full Job Description
Position Overview

We are seeking a Business Intelligence Engineer to join our Quality & Continuous Improvement team.

This role will lead the design, development, and deployment of enterprise-wide Power BI solutions that replace legacy spreadsheet-based reporting with automated, cloud-based analytics. The Business Intelligence Engineer will partner with Quality, Operations, Engineering, Supply Chain, and IT to create a single source of truth for manufacturing performance, quality metrics, and business intelligence.

This is an excellent opportunity for an experienced Power BI professional who enjoys building enterprise analytics platforms, modernizing manufacturing data systems, and driving data-informed decision making across a growing organization.

Requirements

Key Responsibilities
  • Architect, develop, and deploy enterprise-level Power BI data models, dashboards, and reporting solutions
  • Design and manage Power BI Service environments, including workspaces, deployment pipelines, applications, and data gateways
  • Develop complex Power Query (M) transformations, DAX calculations, and automated ETL processes to support enterprise reporting
  • Lead the migration of legacy Excel and Access-based reporting systems into scalable cloud-based analytics platforms
  • Integrate Power BI with ERP, Manufacturing Execution Systems (MES), SQL databases, and other operational data sources
  • Develop automated dashboards supporting quality systems, including CAPA, Non-Conformance Reports (NCR), Supplier Quality, Statistical Process Control (SPC), and operational KPIs
  • Establish reporting standards, governance, data definitions, and best practices to ensure reporting consistency across the organization
  • Serve as the organization's Power BI subject matter expert by training end users and promoting data literacy throughout the business

What Success Looks Like
  • Successful deployment of an enterprise-wide Power BI reporting environment
  • Elimination of manual spreadsheet reporting through automated dashboards
  • Reliable, centralized reporting that improves visibility into operational and quality performance
  • Increased adoption of self-service analytics across manufacturing and business teams
  • Consistent reporting standards and improved data governance
  • Actionable business insights that support continuous improvement and strategic decision-making

Ideal Candidate Profile
  • Bachelor's degree in Data Analytics, Computer Science, Industrial Engineering, Engineering Management, or a related technical field required
  • 5+ years of analytics experience with at least 3 years leading enterprise Power BI implementations
  • Advanced expertise with Power BI, DAX, Power Query (M), data modeling, and visualization best practices
  • Experience integrating Power BI with ERP systems, SQL databases, Manufacturing Execution Systems (MES), or other enterprise platforms
  • Strong understanding of ETL processes, database architecture, and cloud-based analytics environments
  • Knowledge of manufacturing operations, quality systems, OEE, SPC, CAPA, NCR, or industrial KPIs preferred
  • Experience developing reporting governance, documentation, and standardized reporting frameworks
  • Excellent communication, project management, and training skills with the ability to translate complex data into actionable business insights

Why Join Elmet Technologies
  • Lead the company's enterprise Business Intelligence and Power BI strategy
  • Build a modern analytics platform that directly supports manufacturing, quality, and operational excellence
  • Work with advanced manufacturing operations serving aerospace, defense, semiconductor, and energy industries
  • Collaborate with executive leadership and cross-functional teams on high-impact digital transformation initiatives
  • Opportunity to shape the future of enterprise reporting and data-driven decision making across The Elmet Group
  • Competitive compensation plus a comprehensive benefits package including medical, dental, vision, 401(k) with company match, paid time off, holidays, tuition assistance, and professional development opportunities

Search Process Note

The Elmet Group is managing this search directly and is not accepting submissions from outside recruitment firms.

Salary Description

$95k-$110k

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