Senior Business Intelligence Analyst

Boeing•Seattle, WA

19h•Onsite

About The Position

Boeing Global Services (BGS) is looking for a Senior Business Intelligence Analyst to join our team in Seattle, WA. In this role, you will lead the design and delivery of complex Business Intelligence (BI) information models, dashboards, metrics and reports that meet business objectives. Additionally, you will be responsible for evaluating current technologies for best fit and apply proven methodologies and best practices. Lastly, you will combine strong SQL/programming skills, data modeling expertise and domain knowledge to produce efficient, scalable BI solutions that improve business productivity and outcomes.

Requirements

5+ years of experience developing reports and insights utilizing reporting/data analytical/business intelligence tools such as Tableau, Spotfire, Power BI and Maximo
5+ years of experience with SQL/Teradata SQL, R, Python or Toad
3+ years of experience with data pipeline tools and Extract Transform Load (ETL) services
1+ years of experience with large-scale data processing, distributed computing, and cloud platforms
3+ years of experience with development and integration of programs, plans, strategies, processes, and KPIs to track progress to and enable attainment of business goals

Nice To Haves

Experience implementing self-service BI programs and training business users
Certifications such as Certified Business Intelligence Professional, vendor-specific BI certifications, or cloud data platform certifications
Excellent communication skills and proven ability to work with non-technical stakeholders to define requirements and present insights

Responsibilities

Act as a technical and strategic leader across cross-functional teams
Lead the end-to-end design and development of BI solutions: data models, ETL/ELT pipelines, semantic layers, cubes, metrics and visualizations
Translate business requirements into robust BI architectures, metrics definitions and dashboards that enable insight and action
Assess existing technology stack and recommend tools, platforms and patterns (cloud/on premises) that best meet performance, scale, security and cost objectives
Author and enforce best practices for data modeling, data quality, metadata management, naming conventions and version control
Write, optimize and review complex SQL and other data transformation code to ensure efficient, scalable pipelines
Build reusable, documented semantic layers / dataset definitions to ensure consistency of business metrics across dashboards and reports
Mentor and coach BI developers, analysts and data engineers; conduct design reviews and code reviews
Collaborate with product owners, business stakeholders, data engineers, data scientists and IT for delivery, deployment and operational support
Establish monitoring, alerting and troubleshooting processes for BI performance and data quality
Drive continuous improvement: prototype new capabilities, proof-of-concepts and adoption of new BI/analytics trends (embedded analytics, self-service BI, data observability)