Mid-Level Business Intelligence Analyst (BI Analysis)

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Boeing Canada Operations Ltd. is seeking a Mid-Level Business Intelligence Analyst to join Our team in Canada. This position will focus on the Safety Data Analytics (SDA) program within Boeing Global Services (BGS). 

The work is a one-of-a-kind organization with fascinating solutions that make a difference for real people all around the world and at every second of the day. You will be surrounded by extremely smart and talented colleagues who will be up for any challenge – and who will not hesitate to challenge you.

A successful candidate will be a self-starter who understands the importance of collaboration. This position will be responsible for developing and maintaining BI and reporting tools that are used to communicate data-driven insights to customers around the globe.

Position Responsibilities:

• Develops and maintains tools and dashboards that are used to report trends and benchmarks, in flight recorder data to enhance flight safety.

• Develops and maintains Python packages and Power BI / Tableau dashboards that report insights from large, cloud-based datasets to cross-functional analytics team members and  aircraft operators in an easily digestible and actionable manner

• Works with internal stakeholders to maintain, communicate, grow, and execute a roadmap of BI and reporting capabilities that include both functional and performance enhancements.

• Scopes analytical projects, obtains relevant data, validates findings, seeks alignment, and shares results.

• Analyzes large, cloud-based datasets to identify, disposition, and explain the root cause for unanticipated data trends

• Exercises critical thinking and innovative problem solving.

• Ensures commitments and service levels are achieved or exceeded.

• Develops and maintains  partnerships while working in a cross-functional team of Data Engineers, Data Scientists, and Software Developers.  Occasional travel may be required.

• Demonstrates the Boeing Behaviors in a deliberate and observable way.

This position is hybrid. This means that the selected candidate will be required to perform some work onsite at one of the listed location options. This is at the hiring team’s discretion and could potentially change in the future. 

Basic Qualifications (Required Skills/Experience):

• Must be legally able to work in Canada

• Individual must not pose a risk for safeguarding of controlled goods

• Must be eligible to handle US export-controlled data

• 3+ years of experience in developing and maintaining Python packages that automate the reporting of business insights from large datasets

• 3+ years of experience in using Matplotlib, Seaborn, and/or Plotly to visually communicate business insights from large datasets

• 3+ years of experience developing and maintaining Tableau or Power BI dashboards that communicate insights from large datasets

• 2+ years of experience using complex SQL queries to identify and report business insights from large datasets

• 2+ years of experience in using Git for version control of software

• 2+ years of experience in developing and maintaining CI/CD pipelines

• 2+ years of experience in analyzing and reporting data stored in parquet, csv, or orc files and SQL or NoSQL databases in Google Cloud Platform (GCP), Azure, or Amazon Web Services (AWS)

• Candidate must be able to support our global customer base with a flexible work schedule which may include late or early meetings

Preferred Qualifications (Desired Skills/Experience):

• Experience working with Azure Databricks, Delta Tables, and/or Google Cloud BigQuery

• Experience working in a role that develops BI reporting capabilities as part of a cross-functional team that includes Data Engineering, Data Science, and/or Software Engineers

• Experience working with aerospace datasets including onboard flight data

Relocation: 

This position does not offer relocation.  Candidates must live in the immediate area or relocate at their own expense.  
 
Salary pay range - $71,000 - $101,000 CAD 

Please also submit a CV or resume written in English. 

Applications for this position will be accepted until October 17, 2025.

Applications for this position will be accepted until Oct. 18, 2025

Export Control Requirements: This is not an Export Control position.

Relocation

Relocation assistance is not a negotiable benefit for this position.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Equal Opportunity Employer:

We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.

We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

Experience Level
Individual Contributor
Contingent Upon Program Award
No, this position is not contingent upon program award

Schedule
Full time

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.