Business Intelligence Analyst

BoeingRenton, WA
Onsite

About The Position

Boeing Commercial Airplanes (BCA) is seeking a Senior Business Intelligence Analyst to join the Analytics team in Renton, Washington on First Shift. This role involves designing, building, and maintaining Business Intelligence (BI) information models, dashboards, metrics, and reports that align with business objectives. The analyst will develop efficient, scalable BI solutions using standard technologies, methodologies, and best practices, including writing and optimizing SQL queries for data extraction, transformation, and reporting. They will also combine programming languages like Python or R with BI tools to automate data pipelines and reporting processes. The role requires acquiring, cleaning, transforming, and validating data from multiple source systems to ensure accuracy and reliability. Applying descriptive, predictive, and prescriptive analytics techniques to extract insights and recommend actions is crucial. The analyst will create clear, actionable visualizations and reports to support business decision-making, collaborate with cross-functional teams to gather requirements and deliver data solutions, and manage intake requests, prioritize work, and scope analytics projects with stakeholders. Performing root cause analysis on data and metric discrepancies, ensuring data governance, documentation, and reproducibility of analytics models and data pipelines are also key responsibilities. The role includes presenting findings and recommendations to senior leadership and mentoring junior analysts to promote analytics best practices. Finally, the analyst will monitor the performance of analytics solutions and iterate to improve accuracy, efficiency, and business impact.

Requirements

  • 7+ years of experience in SQL Server development
  • 5+ years of experience in Tableau or similar backend tools
  • Experience in managing technical projects through agile processes

Nice To Haves

  • Bachelor’s degree or higher
  • Hands-on experience with Power BI and/or IBM Cognos
  • Strong business acumen with the ability to translate business strategy and operational needs into measurable analytics requirements
  • Strong business acumen with the ability to translate business strategy and operational needs into measurable analytics requirements, identify key performance drivers, and recommend data-driven actions that improve outcomes.
  • Proven experience collaborating effectively with cross-functional teams to gather requirements, align priorities, integrate data sources, and jointly deliver analytics solutions that address business needs

Responsibilities

  • Design, build and maintain Business Intelligence (BI) information models, dashboards, metrics and reports that align with business objectives
  • Develop efficient, scalable BI solutions using standard technologies, methodologies and best practices
  • Write, optimize and review SQL queries for data extraction, transformation and reporting
  • Combine programming (e.g., Python, R, or relevant scripting languages) with BI tools to automate data pipelines and reporting processes
  • Acquire, clean, transform and validate data from multiple source systems to ensure accuracy and reliability
  • Apply descriptive, predictive and prescriptive analytics techniques to extract insights and recommend actions
  • Create clear, actionable visualizations and reports to support business decision-making
  • Collaborate with cross-functional teams (product, engineering, finance, operations, etc.) to gather requirements and deliver data solutions
  • Manage intake requests, prioritize work, and scope analytics projects with stakeholders
  • Perform root cause analysis on data and metric discrepancies and implement corrective actions
  • Ensure data governance, documentation and reproducibility of analytics models and data pipelines
  • Present findings, recommendations and technical approaches to senior leadership and stakeholders with strong, commanding communication
  • Mentor junior analysts, review peer work and promote analytics best practices across the organization
  • Monitor performance of analytics solutions and iterate to improve accuracy, efficiency and business impact

Benefits

  • health insurance
  • flexible spending accounts
  • health savings accounts
  • retirement savings plans
  • life and disability insurance programs
  • paid time away from work
  • unpaid time away from work
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