Business Intelligence (BI) Developer — Engineering Analytics
Skills
- Advanced Tableau and dashboard design with drill-throughs and executive scorecards
- Strong SQL for analysis and data validation
- Familiarity with Snowflake and dbt or demonstrated ability to adopt them quickly
- Experience reconciling and improving data quality across multiple source systems
- Domain knowledge of engineer-to-order or make-to-order manufacturing processes
- Ability to translate analysis into clear, actionable narratives for leadership
Responsibilities
- Partner with Engineering leadership and SMEs to define problems, determine required data, and validate definitions and quality.
- Investigate anomalies and root causes—form hypotheses, pull data, test, and communicate clear findings to non-technical stakeholders.
- Remediate data quality issues across ERP, HR/workforce, engineering milestone, and drawing review systems; document fixes and prevent recurrence.
- Instrument end-to-end engineering processes: pipeline health, phase lead times, per-engineer metrics, and order-level tracking.
- Provide mechanical design operations with real-time scheduling KPIs and diagnostic insights for delays and bottlenecks.
- Design, build, and maintain Tableau dashboards (executive scorecards, operational queues, drill-throughs) with embedded analytical narrative.
- Collaborate with data engineering to develop and maintain Snowflake/dbt analytical models integrating ERP, HR, and engineering data.
Education
- Bachelor's degree in Data Analytics, Engineering, Computer Science, or a related field
- Background in electrical or mechanical engineering is heavily weighted (degree or embedded experience)
Benefits
- Competitive medical, dental, and vision coverage
- Bonus and/or long-term incentive units depending on role and level
- Retirement plan (401k) and financial benefits
- Paid time off and holiday pay
- Professional development and career growth opportunities
- Remote work flexibility
Average salary estimate
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