Industry 4.0 Solution Engineer – Production Analytics
New
C
C5MIManufacturing analytics
Remote - United StatesFull-TimeMiddle
Salary100,000 - 135,000 USD per year
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Job Details
- Experience
- Five (5) or more years of experience in data engineering, business intelligence, enterprise systems, or business analysis, including at least two (2) years delivering solutions within a manufacturing, distribution, or industrial operations environment.
- Required Skills
- PythonSQLGitMicrosoft Power BIData modeling
Requirements
- Bachelor’s degree in Engineering, Computer Science, Information Systems, Data Analytics, Industrial Engineering, Economics, or a related quantitative or technical discipline; equivalent professional experience may substitute.
- Five or more years of experience in data engineering, business intelligence, enterprise systems, or business analysis.
- At least two years delivering solutions in manufacturing, distribution, or industrial operations.
- Hands-on experience building operational and executive dashboards in Power BI or a comparable platform, including data modeling, KPI definition, visual design, and query performance optimization.
- Strong SQL capability and hands-on experience with cloud data platforms or warehouses and ETL/ELT pipeline development.
- ERP experience, including integration, master data, and the data migration and validation lifecycle.
- Proficiency in at least one programming or scripting language for data work and automation; Python is preferred, with R, PowerShell, or JavaScript/TypeScript also accepted.
- Familiarity with Git-based version control workflows.
- Ability to author precise, testable technical specifications and acceptance criteria and formally validate delivered work against them.
- Requirements elicitation and process analysis experience, including working sessions, JAD sessions, process mapping, gap analysis, and traceable requirements documentation.
- Working knowledge of manufacturing operations concepts, including Takt time, cycle time, work-in-process, throughput, first-pass yield, defects per unit, Andon, and production backflush.
- Ability to present technical material and deliver live system demonstrations to client stakeholders, including operations leadership.
- Ability to work in a professional services delivery model with billable utilization targets, concurrent workstreams, and direct accountability to client sponsors.
Responsibilities
- Build, test, and maintain the Digital Production Control Center and supporting Power BI products.
- Develop and maintain the Microsoft Fabric/OneLake medallion data estate, including ingestion, modeling, refresh, and semantic models.
- Own the governed semantic layer and KPI dictionary, tracing metric lineage from source event to executive tile.
- Author testable build specifications for offshore partners, including data contracts, transformation logic, edge cases, and expected results.
- Review, test, and formally accept or reject offshore deliverables; manage defects and drive rework to closure.
- Validate reported production metrics against timed observations and actual material consumption on the production line.
- Translate zone, geofence, and asset definitions into production semantics such as station entry and exit, dwell state, and line position.
- Implement data quality controls for event completeness, latency, tag and anchor health, duplicate events, and sequencing.
- Elicit and document reporting requirements through client working sessions, JAD sessions, gemba walks, and process mapping.
- Deliver working sessions, system demonstrations, and readouts to client operations and executive stakeholders.
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