Senior Analytics Engineer: ERP & Manufacturing Insights

Teledyne Technologies Inc.

Village of Chestnut Ridge (NY)

On-site

USD 120,000 - 160,000

Full time

9 hours ago

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Job summary

Teledyne Technologies Incorporated is seeking a Senior Analytics Engineer (ERP, Manufacturing & Power BI) to transform ERP and operational data into actionable insights. You will partner with manufacturing, supply chain, finance, operations and IT to build reporting, analytics, and automation solutions that improve visibility and decision-making.

Ideal candidates enjoy solving business problems, working with end users, and building scalable analytics across a dynamic manufacturing environment

Qualifications

Bachelor's degree or equivalent in IS/CS/Analytics/Engineering/Finance.
Strong SQL, data modeling, stored procedures, and data integration experience.
Experience with ERP data in manufacturing or supply chain.
Hands-on Power BI dashboards, DAX measures, and Power Query transformations.
Excellent communication with technical and business stakeholders.
Familiar with manufacturing ERP systems such as Infor XA or similar.
Knowledge of Fabric, Azure SQL, Power BI Service, or Power Automate is a plus.
Understanding of inventory, MRP, BOMs, production planning, and procurement.
Experience with automation, AI-enabled solutions, or data governance is a plus.

Responsibilities

Design, develop, and maintain SQL 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.