Sr Industrial Analytics Engineer

Tempel is looking to add a Senior Industrial Analytics Engineer to our team! The Senior Industrial Analytics Engineer will play a key role in building and scaling Tempel’s analytics foundation across manufacturing, quality, supply chain, and corporate functions. This role focuses on transforming data from disparate and legacy systems into trusted, analytics-ready datasets, standardized business metrics, and automated reporting solutions.

Working closely with business stakeholders, Digital, and IT, this individual will help deliver consistent, actionable insights that improve visibility into performance and drive measurable improvements in quality, throughput, cost, and service. This role also supports the broader data and AI strategy by enabling scalable, well-structured analytical assets.

Tempel is a global leader in precision magnetic steel laminations for motors, generators, and transformers. Our commitment to innovation, quality, and customer service has made us a trusted partner in industries such as automotive, industrial, and renewable energy. At Tempel, we foster a team-oriented culture with opportunities for development and career growth.

If you're still wondering why you should join our team, here’s a quick list of reasons:

• Competitive pay

• Benefits start Day 1 – including medical, dental, vision, life insurance, and 401(k) (with company contribution and employee match)

• Performance-based pay increases

• Tuition reimbursement

• Paid vacation and holidays

• Work with a team that values safety, innovation, and continuous improvement

Location & Work Authorization:

• We are open to candidates located in either the Chicago, IL or Columbus, OH area for this hybrid position. Candidates must reside within a commutable distance to one of these locations or be willing to self-relocate at their own expense prior to employment.

• Please note: Tempel does not provide relocation assistance or employment visa sponsorship for this position now or in the future. Candidates must be legally authorized to work in the United States without current or future sponsorship requirements.

• Hybrid work arrangements are subject to business needs and require regular in-office collaboration.

Responsibilities:

• Build and maintain analytics-ready datasets by integrating data from ERP, quality, and other operational systems 

• Design and develop reusable data models, curated datasets, and standardized business logic 

• Define and govern KPI and metric definitions across key functional areas 

• Develop dashboards, scorecards, and reporting solutions that deliver actionable insights to business and operations teams 

• Automate recurring reporting and data processes to improve efficiency and reliability 

• Partner with stakeholders to understand business needs and translate them into scalable analytics solutions 

• Support advanced analytics use cases (e.g., forecasting, trend analysis, root-cause analysis) through well-structured data 

• Document data transformations, definitions, and lineage to support transparency and reuse 

• Collaborate with Digital, IT, and external partners to align with enterprise data and governance standards 

• Identify opportunities to improve data accessibility, analytics efficiency, and business performance

Desired Experience:

• Bachelor’s degree in Data Analytics, Computer Science, Engineering, Information Systems, or related field 

• 5–8+ years of experience in analytics engineering, business intelligence, or data-related roles 

• Strong experience working with complex or legacy data environments, preferably in manufacturing or industrial settings

• Proven ability to deliver analytics solutions that drive business value

Technical Skills:

• Strong proficiency in SQL 

• Experience with Python or similar tools for data transformation and analysis 

• Experience with BI and visualization tools (e.g., Power BI, Tableau) 

• Experience with ERP, quality systems, or operational data sources preferred

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