Business Intelligence Engineer
About The Position
Patrick Industries, a publicly traded company headquartered in Elkhart, Indiana, invites you to join a team of dedicated Team Members who are passionate about delivering high-quality products and exceptional customer service. As a leading solutions provider serving a diverse range of markets across the United States, our commitment to innovation, quality, and sustainability has positioned us as a high growth, diversified and empowered Team of more than 10,000! Your adventure awaits! We are seeking a Business Intelligence Engineer join our team in Elkhart, IN. The Business Intelligence Engineer will own the validation and optimization of SQL data flowing from our operational facilities in order to provide real time insights and business intelligence. A qualified candidate will possess a high level of SQL expertise and PowerBI Dashboarding.
Requirements
- 5+ years of experience in business intelligence, data engineering, or analytics engineering
- Advanced SQL expertise (complex queries, performance tuning, large datasets)
- Hands‑on experience developing or supporting Power BI dashboards
- Strong understanding of data modeling, data validation, and data quality practices
- Previous Experience collaborating directly with business and operational stakeholders
- Self-motivated with proven track record showing the ability to prioritize multiple projects under tight deadlines and work independently with limited oversight
- A high level of personal integrity (self-esteem, self-awareness, humility, confidence, honesty, and respect) are necessary qualities
- Align with Patrick Industries “BETTER Together” mentality by pursuing Balance, Excellence, Trust, Teamwork, Empowerment, and Respect within the organization
Nice To Haves
- Experience with Python or other scripting languages for data manipulation
- Knowledge of Azure or similar cloud‑based data platforms
- Understanding of ERP systems (e.g., D365) and how operational data flows into analytics
Responsibilities
- Engineer, maintain, and optimize SQL-based data models supporting real‑time manufacturing analytics
- Diagnose and resolve data inaccuracies
- Manage and optimize high‑volume data pipelines
- Create and maintain SQL views and transformations that power enterprise Power BI dashboards
- Partner with operations leadership to validate data accuracy and ensure insights align with real‑world manufacturing performance
- Support rollout and adoption of analytics across prioritized groups and facilities
- Collaborate on Power BI dashboard development and enhancements as business needs evolve
- Provide technical guidance on scalability, performance, and future‑state architecture (e.g., SQL capacity, Azure considerations)
- Help define standards, best practices, and documentation for operational data engineering
- Participate in executive and plant‑level reviews to explain insights, trends, and opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
