Job DescriptionTeledyne is seeking a Senior Analytics Engineer (ERP, Manufacturing & Power BI) to help transform complex ERP and operational data into actionable business insights. In this role, you'll partner with stakeholders across manufacturing, supply chain, finance, operations, and IT to build reporting, analytics, and automation solutions that improve visibility, decision-making, and business performance.
This is an ideal opportunity for a data professional who enjoys solving business problems, working closely with end users, and building scalable analytics solutions that drive real operational impact. You'll combine SQL, Power BI, ERP data, automation, and emerging AI technologies to support digital transformation initiatives across a dynamic manufacturing environment.
Job Duties & Responsibilities- Design, develop, and maintain SQL-based data pipelines, data models, and reporting solutions that support business operations and decision-making.
- Extract, transform, validate, and analyze data from ERP systems across manufacturing, supply chain, inventory, purchasing, planning, and finance functions.
- Build and enhance Power BI dashboards, reports, semantic models, and analytics tools used by leaders and operational teams.
- Partner with business stakeholders to understand reporting requirements and translate them into scalable, user-friendly solutions.
- Improve reporting accuracy, automation, and reliability while reducing manual processes and spreadsheet-driven work.
- Support operational analytics related to inventory, material shortages, production planning, work-in-process, purchasing, and supply chain performance.
- Investigate data quality issues, reconcile discrepancies, and ensure reporting aligns with business processes and source system data.
- Document data definitions, business rules, calculations, and reporting processes to support long-term sustainability.
- Collaborate with cross-functional teams to support ERP modernization, analytics initiatives, and digital transformation projects.
- Identify opportunities to leverage automation, AI-enabled tools, and advanced analytics to improve efficiency and decision-making.
- Serve as a trusted resource for both technical and non-technical stakeholders by helping users understand and apply data insights.
Qualifications- Bachelor's degree in Information Systems, Computer Science, Data Analytics, Engineering, Finance, Operations, or a related field, or equivalent experience.
- Strong experience developing complex SQL queries, data models, stored procedures, and data integration solutions.
- Experience working with ERP data in a manufacturing, operations, or supply chain environment.
- Hands-on experience building Power BI dashboards, reports, semantic models, DAX measures, and Power Query transformations.
- Strong analytical and problem-solving skills with the ability to identify root causes and deliver practical solutions.
- Ability to communicate effectively with both technical and business stakeholders.
- Experience designing scalable, maintainable reporting and analytics solutions.
- Experience with manufacturing ERP systems such as Infor XA or similar platforms is preferred.
- Familiarity with Microsoft Fabric, Azure SQL, Power BI Service, Power Automate, or related Microsoft data platform technologies is a plus.
- Understanding of manufacturing concepts such as inventory management, MRP, BOMs, production planning, purchasing, or supply chain operations is preferred.
- Experience supporting automation, AI-enabled solutions, or data governance initiatives is a plus.
Who Should Apply:Professionals with backgrounds in ERP reporting, business intelligence, data engineering, manufacturing systems, supply chain analytics, Power BI development, or operational data analytics are encouraged to apply.
Salary Range: $120,300.00-$160,400.000
The anticipated salary range listed for this role is only an estimate. Actual compensation for successful candidates is carefully determined based on several factors including, but not limited to, location, local regulations (such as minimum wage), education/training, work experience, key skills, and type of position.
