Boeing ยท 2 weeks ago
Analytics Engineer (Mid-Level or Senior)
Boeing is a company that innovates and collaborates to make the world a better place, and they are seeking an Analytics Engineer to enhance their cyber test capability. The role involves partnering with various business functions to deliver high-impact dashboards and metrics, managing end-to-end data workflows, and enabling data-driven decisions across the organization.
AerospaceIndustrial
Responsibilities
Collaborate with business partners to gather data requirements, define KPIs, and translate business needs into technical data solutions
Design, build, and maintain scalable ETL/ELT pipelines to ingest and transform raw data into clean, reliable datasets for reporting
Develop and maintain dashboards, reports, and visualizations that communicate metrics, trends, and status updates using BI tools (e.g., Power BI, Tableau, Looker)
Build and optimize data models and semantic layers that power self-service analytics and dashboard exploration
Monitor and improve data quality, resolve pipeline errors, and enforce governance and documentation standards
Support ongoing improvement of data processes and automation to reduce manual tasks and accelerate insights
Provide technical guidance to data analysts and support cross-functional teams in interpreting and utilizing dashboard results
Qualification
Required
Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement
3+ years of experience in data engineering, analytics engineering, or business intelligence roles building data pipelines and dashboards
Strong SQL expertise with the ability to write optimized queries for large datasets and transform data for reporting
Experience with ETL/ELT workflows and data transformation, including common tools or orchestration frameworks
Hands-on experience building dashboards and reports with one or more BI platforms (e.g., Power BI, Tableau, Looker)
Proven ability to work cross-functionally with business stakeholders to understand needs and deliver actionable data products
Preferred
Level 4: 5 or more years' related work experience or an equivalent combination of education and experience
Experience with cloud data warehouses and platforms (e.g., Snowflake, BigQuery, Redshift)
Familiarity with data transformation and semantic modeling tools (e.g., dbt)
Experience with programming/scripting languages (e.g., Python) for data manipulation and automation
Knowledge of data governance, quality frameworks, and monitoring solutions
Prior experience in agile development processes and working with version control
Benefits
Health insurance
Flexible spending accounts
Health savings accounts
Retirement savings plans
Life and disability insurance programs
Programs that provide for both paid and unpaid time away from work
Company
Boeing
Boeing offers commercial, defense airplanes, space, security systems, and global services.
Funding
Current Stage
Late StageLeadership Team
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