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The Boeing CompanyPosted 1 week ago

Senior Business Intelligence - Data Science Analyst

$119,850–$173,650 year

HybridChicago, Illinois, United States or Seattle, Washington, United States

Full TimeSenior LevelBachelors DegreeEnterprise

Job Summary

Lead the design and development of complex BI models, dashboards, metrics, and reports using SQL, Python, R, and Tableau to drive business productivity. Synthesize data, KRIs, and trends from multiple sources to uncover compliance risks, root causes, and actionable insights for strategy and risk mitigation. Apply programming skills for efficient data gathering and advanced analytics, then communicate complex findings clearly to technical and non-technical stakeholders to support decision-making. Create impactful visualizations and narrative summaries tailored to executives and managers. This hybrid role requires onsite work at Chicago, North Charleston, Seal Beach, Seattle, or Tukwila.

Required Qualifications

  • Bachelor's degree or higher
  • 3+ years of experience in Business Intelligence/Data Analytics tools and applications (such as SQL, R, Tableau, Python, IBM Cognos Analytics, Google Analytics)
  • 3+ years of experience leveraging statistical programming languages (e.g., R, Python, SAS) for advanced analytics and anomaly detection
  • 3+ years of experience translating data into actionable insights and recommendations
  • Experience developing and maintaining scripts
  • Outstanding written and verbal communication skills
  • Excellent interpersonal and team skills
  • This position is hybrid
  • This is at the hiring team's discretion and could potentially change in the future
  • Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process
  • Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies

Desired Qualifications

  • 5+ years of related work experience or an equivalent combination of education and experience
  • Experience in data analysis algorithms (e.g. data mining, statistics, machine learning, natural language processing, text mining, visual analytics) and building Descriptive, Predictive and Prescriptive models
  • Experience with Teradata, SQL Server, and/or Cloud Platforms (specifically Azure, AWS, GCP)
  • Experience in artificial intelligence and machine learning frameworks
  • Experience with R or Python data visualization packages (i.e. Shiny, Dash, Streamlit)
  • Experience with ServiceNow Reporting and Performance Analytics

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