Industrial Electric Manufacturing - Business Intelligence (BI) Developer — Engineering Analytics
Upload My Resume
Drop here or click to browse · PDF, DOCX, DOC, RTF, TXT
Requirements
• · 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 multiple source systems and with the SMEs who own them, including getting into data quality issues, reconciling definitions, and building trust in the numbers before building dashboards on top of them. • · Analytical depth, not just visualization skill. You can take a metric that looks wrong, form a hypothesis about why, pull the data to test it, and communicate a clear finding to a non-technical stakeholder. • · Consultative instincts. You push back when the question being asked isn't the right question. You surface what leadership needs to know, not just what they asked for. • · Advanced Tableau, strong SQL, and familiarity with Snowflake and dbt or a demonstrated ability to get there fast. • · Background in electrical or mechanical engineering, or years of embedded experience working inside engineering teams, is heavily weighted in our evaluation. • · Bachelor's degree in Data Analytics, Engineering, Computer Science, or a related field.
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.
Benefits
• IEM's engineering data tells a real operational story - multi-stage design handoffs across electrical and mechanical teams, 200+ engineers across three campuses, and constant pressure to release against customer production schedules. The numbers are live, the stakes are concrete, and there's meaningful work to do in getting the data foundation right before layering more analytics on top of it. If you want a role where your value is in what you understand, not just what you build, this is it. • Compensation actually offered for this role will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. • At IEM, you’ll join a team that powers some of the world’s most ambitious projects. We’re engineers, makers, and problem-solvers who thrive on tackling complex challenges and delivering solutions that keep industries moving forward. If you’re driven, collaborative, and ready to make an impact, we’d love to hear from you. Your creativity and passion can help us achieve great things—come be part of the journey. • Learn more about IEM at https://www.iemfg.com • We offer comprehensive and competitive benefits package designed to support our employees' well-being, growth, and long-term success. View a snapshot of our benefits at https://www.iemfg.com/careers • Recruiting Scams • Recruiting Scams • Beware of recruiting scams. IEM never charges candidates fees, and all recruiter emails come from an @iemfg.com address. If you suspect fraudulent activity, do not share personal information and report it to us at iemfg.com/contact • Non-Discrimination Statement • IEM does not discriminate against any applicant based on any characteristic protected by law. • Information collected and processed as part of your IEM Careers profile, and any job applications you choose to submit is subject to IEM's Workforce Member Privacy Policy.
No credit card. Takes 10 seconds.