Analytics Engineer (Mid-Level or Senior)

Boeing

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profile Job Location:

Seattle, OR - USA

profile Monthly Salary: $ 131750 - 178250
Posted on: 21 hours ago
Vacancies: 1 Vacancy

Job Summary

Analytics Engineer (Mid-Level or Senior)

Company:

The Boeing Company

The Boeing Company is seeking a Analytics Engineer to enhance the Boeing Test & Evaluation (BT&E) cyber test capability in Seattle WA.

The selected candidate will partner with multiple business functions understand data needs and deliver high-impact dashboards and metrics. This role dominates end-to-end data workflows from gathering requirements with stakeholders to designing robust data transformation pipelines and creating actionable BI dashboards. The ideal candidate thrives at the intersection of data engineering and business intelligence enabling data-driven decisions across the organization.

Our teams are currently hiring for a broad range of experience levels including Mid-Level or Senior Analytics Engineers.

Position 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

Basic Qualifications (Required Skills/Experience):

  • 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 Qualifications (Desired Skills/Experience):

  • 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

Drug Free Workplace:

Boeing is a Drug Free Workplace (DFW) 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.

Union:

This is a union-represented position.

Pay & Benefits:

At Boeing we strive to deliver a Total Rewards package that will attract engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs generally including health insurance flexible spending accounts health savings accounts retirement savings plans life and disability insurance programs and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location date of hire and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications as well as market and business considerations.

Summary Pay Range for Mid-level (Level 3): $131750 - $178250

Summary Pay Range for Senior (Level 4): $164050 - $221950

Language Requirements:

Not Applicable

Education:

Bachelors Degree or Equivalent

Relocation:

This position offers relocation based on candidate eligibility.

Export Control Requirement:

This position must meet export control compliance requirements. To meet export control compliance requirements a U.S. Person as defined by 22 C.F.R. 120.15 is required. U.S. Person includes U.S. Citizen lawful permanent resident refugee or asylee.

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

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Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race color religion national origin gender sexual orientation gender identity age physical or mental disability genetic factors military/veteran status or other characteristics protected by law.

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Required Experience:

Manager

Analytics Engineer (Mid-Level or Senior)Company:The Boeing CompanyThe Boeing Company is seeking a Analytics Engineer to enhance the Boeing Test & Evaluation (BT&E) cyber test capability in Seattle WA.The selected candidate will partner with multiple business functions understand data needs and deliv...
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Key Skills

  • Adobe Analytics
  • Data Analytics
  • SQL
  • Attribution Modeling
  • Power BI
  • R
  • Regression Analysis
  • Data Visualization
  • Tableau
  • Data Mining
  • SAS
  • Analytics

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