Lead Project Data Analytics Management Specialist at Boeing, managing analytics for workforce planning and program decisions. Collaborate with engineering leadership to drive data-driven insights.
Responsibilities
Develop and operationalize analytics, automated ETL pipelines, and dashboards to support workforce planning and engineering program decisions
Design, compute, and maintain KPIs, trend/variance analyses, forecasting, and risk models; translate findings into actionable staffing and program recommendations
Build and maintain data models in Power BI (Power Query), author DAX measures, write SQL queries, and use scripting (Python/R) to automate data workflows and validation
Create executive-ready reports, visualizations, and briefings; present insights and recommended actions to senior leadership
Facilitate recurring resource planning cycles, cross-functional governance, technical reviews, and large-scale events to align stakeholders and drive program outcomes
Drive process improvement and change management initiatives that implement analytics-driven decisions and reduce manual effort
Establish and enforce data quality standards, definitions, and documentation for workforce and program datasets
Partner with HR, Finance, Legal, Government Operations, and engineering leadership to ensure analytics address operational needs and compliance
Lead adoption of analytics platforms and coach stakeholders on metrics interpretation and data-driven decision making
Document lessons learned and support program closeout and transition activities.
Requirements
Ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship.
Bachelor's degree or higher
5+ years of experience of working independently and collaboratively in a team environment
3+ years building data analytics dashboards and business intelligence solutions in Power BI or Tableau; demonstrable work with Power Query and DAX
Hands-on experience with at least one scripting language for data automation (Python, R, or equivalent)
Proven experience facilitating workforce staffing or other resource planning processes within technical or engineering organizations
Strong data analysis and automation skills, with demonstrated ability to collect, interpret, and streamline complex data sets
Proven ability to design KPIs, run trend/variance analyses, forecasting, and present actionable insights to senior leadership.
Excellent verbal and written communication skills, with the ability to collaborate effectively with engineers, engineering leadership, and cross-functional teams
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