Data Analysis Engineer
9 days ago
Arlington
Job Description Job Description: Data Analysis Engineer Department: Quality Reports To: Quality Manager The Data Analyst Engineer is responsible for collecting, analyzing, and interpreting manufacturing and quality data to support process performance, decision-making, and continuous improvement. This role ensures data integrity and traceability in alignment with ISO 9001 requirements, customer expectations, and Salcomp reporting standards. Must maintain confidentiality of all company and customer information. Main Responsibilities Manufacturing & Quality Data Analysis • Collect, validate, and analyze data from manufacturing processes, quality systems, and production equipment. Data sources like SAP, MES, Cloud base spreadsheets., • Design, develop, and execute SQL scripts, VB Scripts, and other technologies to extract, transform, and load (ETL) data from various sources, particularly user interface (UI) data., • Conduct thorough data analysis to identify trends, patterns, and anomalies., • Develop and maintain data visualizations (graphs, charts, dashboards) using tools like Excel, Power BI to communicate findings effectively., • Develop and maintain dashboards and reports for Quality and Engineering, such like yield, scrap, rework, SPC reports, Downtime, FPY, defect trends (Pareto charts), Customer Complaints, Traceability reports., • Identify process variability, trends, and root causes using statistical and analytical methods. ISO 9001 Compliance Support • Support ISO 9001 Clause 9.1 (Monitoring, Measurement, Analysis, and Evaluation) by ensuring accurate, reliable performance data., • Ensure data used for decision-making is controlled, traceable, and retained per documented procedures., • Support continuous improvement initiatives using PDCA methodologies., • Perform statistical analysis (SPC, capability studies, Pareto analysis, trend analysis)., • Support root cause analysis for nonconformities and customer complaints with data-driven insights., • Participate in the full execution of data conversions, including mapping, extraction, transformation, and validation., • Tune and optimize database objects, queries, and scripts for speed and efficiency., • Design, implement, and maintain new and existing database objects (tables, indexes, constraints, stored procedures, user-defined functions)., • Design and maintain automated reports and dashboards using approved tools (e.g., Excel, SQL, Power BI)., • Translate complex data into clear, actionable insights for operations, quality, and leadership teams., • Ensure accuracy, consistency, and completeness of manufacturing and quality data., • Support data governance practices, including access control, version control, and change management., • Collaborate with IT, Engineering and Customer on data extraction, system integration, and automation. Cross-Functional Collaboration • Work closely with IT, Quality, Engineering and Customer., • Support customer data requests and performance reports as required by the Quality Manager., • Authority to recommend corrective actions based on data trends and analysis., • Authority to escalate data integrity or performance risks to management. Education • Preferred bachelor’s degree in engineering, Industrial Engineering, Data Analytics, Statistics, or related field (required)., • Minimum Certified Data Engineer – Associate Experience • 3–5 years of experience in data analysis within a manufacturing or industrial environment., • Certified Data Engineer, • Microsoft Power BI Data Analyst, • Data analytics or Power BI tool certifications, • Strong understanding of manufacturing KPIs and quality metrics., • Working knowledge of ISO 9001, especially Clauses 7.1.5, 8.5.1, and 9.1., • Proficiency in Excel, SQL, Power BI, or similar tools., • Knowledge of SPC, DOE, capability analysis, and statistical methods., • Strong problem-solving, communication, and presentation skills., • Ability to work in a fast-paced manufacturing environment.