Manufacturing Data Analyst (Experienced) - Millennium Space Systems

Boeing•El Segundo, CA

2d•$112,000 - $199,000

About The Position

Millennium Space Systems, A Boeing Company delivers affordable, high-performance space systems for exacting customers. At Millennium, you will be part of a close-knit team working on exciting technological problems. We work in an open environment where ideas are shared across all disciplines, and there are ample opportunities for advancement based on excellence. Superstars are welcome. At Millennium, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company committed to fostering an environment for every teammate that's welcoming, respectful and innovative, with great opportunities for professional growth. Find your future with us. We are seeking a skilled Manufacturing Data Analyst to support data-driven execution and decision-making within our manufacturing organization. This role is responsible for owning the end-to-end manufacturing data workflow, including data extraction, validation, analysis, visualization, and executive-level reporting. The analyst will serve as a trusted partner to Manufacturing leadership by delivering accurate, timely, and actionable insights related to production performance, capacity, schedule adherence, and manufacturing cost. This role operates with a high degree of autonomy and technical depth, supporting both day-to-day execution and longer-term operational improvement.

Requirements

Bachelor’s degree (minimum) in Engineering, Data Analytics, Operations, Business Analytics, or a related field.
Technical & Analytical Skills Strong SQL skills for querying, integrating, and validating manufacturing data.
Advanced Excel skills for analysis and data validation.
Strong Power BI skills, including dashboard development and data modeling.
Experience working with ERP/MRP systems commonly used in aerospace (e.g., SAP, Oracle, Costpoint).
Solid understanding of manufacturing processes, routings, and work center execution.
Working knowledge of manufacturing cost structures and drivers.
Professional Skills Strong attention to detail and commitment to data accuracy and integrity.
Ability to work independently and manage multiple priorities in a fast-paced environment.
Strong written and verbal communication skills, including executive-level presentation.
Ability to work cross-functionally and build strong partnerships.

Nice To Haves

Experience in an aerospace or regulated manufacturing environment (AS9100 awareness).
Exposure to APS tools, MES systems, or capacity modeling.
Familiarity with lean manufacturing and continuous improvement metrics.
Experience with data automation or scripting (e.g., Python).
Experience supporting leadership decision-making with analytics.

Responsibilities

Manufacturing Data & Analytics Ownership Independently extract, integrate, and analyze manufacturing data from multiple systems (ERP/MRP, APS, MES, cost systems, and databases).
Own data validation and reconciliation across systems to ensure accuracy, consistency, and trust in reporting.
Identify and resolve data discrepancies by working directly with system owners and functional teams.
Reporting, Dashboards & Visualization Design, build, and maintain standardized dashboards and reports using SQL and Power BI.
Deliver executive-ready reporting that clearly communicates manufacturing performance, risks, and trends.
Automate recurring reports where possible to improve efficiency and data timeliness.
Manufacturing Cost Analysis Analyze manufacturing cost per part, assemblies, and end items.
Support total manufacturing cost roll-ups by work center, function, or program.
Identify and analyze cost drivers including labor efficiency, scrap, rework, overtime, and material usage.
Partner with Finance to align operational data with financial reporting.
Operational & Scenario Analysis Perform trend analysis and identify constraints, risks, and improvement opportunities.
Support scenario and “what-if” analysis related to demand changes, capacity constraints, and cost impacts.
Provide data support for recovery plans, prioritization decisions, and continuous improvement initiatives.
Cross-Functional Collaboration Work closely with Manufacturing, Engineering, Supply Chain, Finance, and Leadership to support execution and planning.
Translate complex data into clear insights and recommendations for non-technical audiences.
Act as a central point of contact for manufacturing data questions and analysis.