Senior BI & Data Science Analyst, Compliance Analytics

The Boeing Company; Chicago (IL); Hybrid; USD 120,000 - 174,000; Full time

Job summary

The Boeing Company is seeking a Senior BI / Data Science Analyst to join the Compliance Analytics & Effectiveness team. The role centers on turning complex data into actionable insights to support compliance strategies, using SQL, Python, R, and advanced BI tools across multiple data sources.

This hybrid position can be located in Chicago, IL or other listed U.S. locations, with responsibilities spanning model design, data synthesis, stakeholder communication, and risk mitigation.

Qualifications

• Bachelor’s degree or higher.
• 3+ years in BI/Data Analytics tools and applications (SQL, R, Tableau, Python, IBM Cognos Analytics, Google Analytics).
• 3+ years using statistical languages (R, Python, SAS) for analytics.
• 3+ years translating data into insights and recommendations.
• Experience developing and maintaining scripts.
• Excellent written and verbal communication and teamwork.

Responsibilities

• Lead the design and development of BI models, dashboards, and reports to drive productivity.
• Synthesize data across sources to influence strategy and performance.
• Communicate complex insights clearly to technical and non-technical stakeholders.
• Apply SQL, Python, R, VBA for data gathering and analysis.
• Use analytics and models to identify risks, trends, and mitigation plans.
• Create visualizations and narrative summaries for executives and managers.

Skills

SQL

R

Tableau

Python

IBM Cognos Analytics

Google Analytics

Education

Bachelor's degree or higher

Job description

The Boeing Company is seeking a Senior BI / Data Science Analyst to join the Compliance Analytics & Effectiveness team. The role centers on turning complex data into actionable insights to support compliance strategies, using SQL, Python, R, and advanced BI tools across multiple data sources.

This hybrid position can be located in Chicago, IL or other listed U.S. locations, with responsibilities spanning model design, data synthesis, stakeholder communication, and risk mitigation.