Business Intelligence Analyst - Millennium Space Systems

BoeingEl Segundo, CA
21h$85,000 - $189,000Onsite

About The Position

Business Intelligence Analyst - Millennium Space Systems Company: Millennium Space Systems Millennium Space Systems, a part of Boeing Defense, Space and Security (BDS), is a fast, agile small satellite company focused on national security space. Our missions have direct impact to global security, like missile warning and Earth observation. Our team is curious, bold and innovative. We take risks, innovate and explore new techniques and technologies. We influence change because we challenge the status quo. And when we watch our satellites launch, we know each one of us made it happen. We are seeking a Business Intelligence Analyst who will formulate datasets, investigate findings, build visualizations, and develop strategies to drive efficiency at Millennium Space Systems. The Business Intelligence Analyst will have opportunities to contribute directly to projects that will help Millennium Space Systems achieve its strategic goals. Applications include identifying methods for measuring company health and performance; analyzing data to optimize current business operations; and utilizing historical data to help generate forward forecasts. This is an onsite role in El Segundo, California.

Requirements

  • Five years of professional experience in analytical roles focused on Power BI including DAX.
  • Knowledge of SQL and SQL Server Management Studio.
  • Experience interacting with and manipulating relational datasets.
  • Proven track record delivering enterprise‑wide dashboards that drive measurable productivity gains.
  • At least one programming language for data analysis, such as R, Python or Julia and notebook tool like Jupyter, Hex or Streamlit.
  • Experience leading at least one data-driven project with multiple stakeholders.
  • Concise written and verbal communication skills.
  • Detail oriented and highly organized.
  • Self-starter and a team player.

Nice To Haves

  • Master’s Degree in Operations Research, Statistics, Data Analytics or a related field.
  • Ten or more years of professional experience in analytical roles, including but not limited to Operations Research, Data Analytics or Data Science.
  • Familiarity with statistical methods, including time series forecasting and regression analysis.
  • Experience working with API interfaces.
  • Experience with Git and GitLab.
  • Experience with Jira and Confluence backend databases.
  • Experience with Deltek Costpoint.
  • Experience with Andea Manufacturo.
  • Experience with Siemens Teamcenter.
  • Experience with Palantir Foundry.
  • Experience working in manufacturing, hard tech or government contracting

Responsibilities

  • Partner with stakeholders to establish performance metrics, capture reporting needs, and refine outputs based on feedback.
  • Develop custom datasets and perform data validation used to populate Power BI visuals and data-informed tools.
  • Develop process models, perform root‑cause analysis, and generate time‑series or regression forecasts that inform business operations, tool selection, and strategic planning.
  • Conduct workshops, create user guides, and provide ongoing support to ensure adoption of tools and dashboards.
  • Collect and implement stakeholder feedback.

Benefits

  • At Millennium Space Systems, a Boeing Company, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.
  • Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
  • Millennium Space Systems also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
  • The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
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