Business Intelligence (BI) Developer — Engineering Analytics

Location: US Remote

Reports To: Manager of Business Intelligence 

Salary Range: $120,000 - $140,000

Position Summary:

This is not a dashboard delivery role. It's an analytical partnership role that requires you to build dashboards.

IEM's Engineering org - electrical, mechanical, applications, and enterprise engineering across three campuses - is operating with data that doesn't always tell a complete story, and a BI portfolio that surfaces numbers without always explaining what's behind them. We need someone who can close that gap: a person who understands how engineering actually works in a make-to-order manufacturing environment, can sit with SMEs across ERP, workforce, and engineering systems to get the underlying data right, and can walk into a leadership meeting and explain why weekly engineering efficiency is tracking at below or above its target - not just show the chart.

You'll own the analytics layer that connects customer order intake, engineering throughput, and production handoff. But the real job is understanding what you're looking at well enough to have an informed opinion about it.

Key Responsibilities:

· Be a thought partner, not an order-taker. Work directly with Engineering leadership and team leads to understand the operational problems they're trying to solve - then figure out what data is needed, whether it exists, whether it's accurate, and what it means.

· Diagnose, don't just report. When scheduling backlogs are growing, or mechanical lead times spike for certain product lines, or change notice on-time rates are lagging; your job is to get to the bottom of it, not hand back a chart and say, "that's what the data shows."

· Clean up the data foundation. Work hands-on with SMEs across ERP, HR systems, engineering milestone tracking, and drawing review systems to identify data quality issues, misaligned definitions, and gaps that undermine confidence in the numbers. Fix them, document them, and prevent them from recurring.

· Instrument the engineering process end-to-end. Track pipeline health, engineering phase lead times, and per-engineer performance metrics with enough context that leadership understands the drivers, not just the outputs.

· Support mechanical design operations. Give the mechanical team real-time visibility into scheduling KPIs; open order value, late orders, upcoming due dates, drawing review throughput, and help them understand what's causing delays when they occur.

· Build and maintain Tableau dashboards that give engineering teams what they need at the right level of detail - executive scorecards, operational queue views, and order-level drill-throughs - with the analytical narrative baked in, not left for the reader to guess.

· Work with data engineering to develop Snowflake/dbt data models that integrate ERP order data, HR workforce data, and engineering milestone data into a clean, trustworthy analytical layer that the team can build on.

Qualifications:

· 3+ years of BI or analytics experience in a manufacturing environment - engineer-to-order or make-to-order strongly preferred. You need to already understand what engineering transfers, change notices, and as-builts mean in context.

· Demonstrated experience working across m