Position Summary

We are seeking a Senior Data Analyst to help modernize Operations Processing through data analytics, automation, and AI-enabled insights. In this role, you will turn complex operational data into clear, actionable intelligence by building data pipelines, improving data quality, automating reporting, and creating dashboards that support faster, smarter decisions across Operations, Engineering, Quality, IT, and business leadership.

Key Responsibilities

• Analyze Operations Processing workflows and identify opportunities to reduce manual data entry, duplicate work, and spreadsheet-based reporting.
• Build automated reports, dashboards, and data models that track production performance, quality, downtime, inventory, and process efficiency.
• Design AI-assisted analytics use cases such as anomaly detection, predictive insights, data validation, workflow recommendations, and natural language reporting.
• Partner with IT, Engineering, Operations, and Quality teams to integrate data from ERP, MES, quality systems, and operational databases.
• Translate business needs into practical analytics solutions, including requirements gathering, data mapping, testing, implementation, and adoption.
• Develop repeatable data pipelines, validation routines, and governance practices that improve data accuracy, traceability, and trust.
• Create executive-ready visualizations and summaries that highlight trends, risks, root causes, and recommended actions.
• Use analytics and automation to improve cycle time, accuracy, compliance, and operational decision-making.
• Document data definitions, process flows, automation logic, reporting standards, and support procedures.

Required Qualifications

• Bachelor’s degree in Data Analytics, Data Science, Computer Science, Engineering, Industrial Engineering, Information Systems, Statistics, Mathematics, or a related field; equivalent experience may be considered.
• 5+ years of experience in data analysis, business intelligence, operations analytics, industrial systems, or manufacturing/processing analytics.
• Strong SQL skills and hands-on experience with data visualization tools such as Power BI, Tableau, or similar platforms.
• Experience working with operations, supply chain, quality, engineering, production, or process data.
• Solid understanding of data quality, data modeling, data transformation, KPI development, and automated reporting.
• Ability to gather requirements, analyze business processes, and turn ambiguous operational needs into scalable data solutions.
• Excellent communication skills with the ability to explain technical concepts and recommendations to business stakeholders.

Preferred Qualifications

• Experience with AI, machine learning, predictive analytics, or advanced analytics in an operations or process improvement environment.
• Familiarity with MES, ERP, SCADA, PLC data, historian databases, IoT data, quality management systems, or production monitoring tools.
• Experience with Python, R, Power Automate, Microsoft Fabric, Azure data services, Databricks, Snowflake, or similar analytics and automation platforms.
• Knowledge of lean operations, continuous improvement, root cause analysis, downtime analysis, defect tracking, traceability, or production scheduling.
• Experience with data governance, master data standards, metadata documentation, or enterprise reporting frameworks.
• Ability to evaluate emerging AI tools and recommend secure, responsible, and practical use cases for operational environments.