Crew Data Solutions Analyst

<p><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;"><strong>Being part of Air Canada is to become part of an iconic Canadian symbol, recently ranked the best Airline in North America. Let your career take flight by joining our diverse and vibrant team at the leading edge of passenger aviation.</strong></span></p><p><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">The Crew Data Solutions Analyst is responsible for designing, building, and maintain scalable, reliable and high-quality data pipelines and platforms that enable advanced analytics, reporting and data science initiatives. The role focuses on transformation raw data from multiple internal and external sources into trusted, well-governed data assets that support operational decision-making, optimization initiatives and enterprise analytics.  Working closely with business stakeholders, data scientists, software engineers and IT partners, the Crew Data Solutions Analyst ensures data solutions are robust, performance, secure and aligned with enterprise data and engineering standards.  </span></p><p><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;"><strong>Responsibilities:</strong></span></p><ul><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Design, build, test, and maintain end‑to‑end data pipelines of crewing related data for batch and near‑real‑time data ingestion, transformation, and delivery.</span></li><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Develop and maintain scalable data architectures that support analytics, reporting, and advanced modeling use cases.</span></li><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Integrate data from multiple structured and unstructured sources, ensuring data quality, completeness, and consistency.</span></li><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Optimize data pipelines and storage for performance, reliability, and cost efficiency.</span></li><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Collaborate with data scientists and analysts to enable efficient access to clean, well‑modeled data sets for analysis and model development.</span></li><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Implement data validation, monitoring, and alerting to proactively identify and resolve data issues.</span></li><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Apply best practices for data engineering, including version control, automated testing, CI/CD, and documentation.</span></li><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Ensure adherence to data governance, security, privacy, and compliance standards.</span></li><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Support the transition from “laptop‑scale” solutions to production‑grade, enterprise‑scale data platforms.</span></li><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Troubleshoot and provide advanced support for data pipeline and platform issues.</span></li><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Evaluate and adopt new tools, frameworks, and technologies to continuously improve data engineering capabilities.</span></li><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Contribute reusable frameworks, templates, and code to support standardization and scalability across the enterprise. </span></li></ul><p><strong>Qualifications</strong></p><ul><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or a related quantitative discipline, or equivalent practical experience.</span></li><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">3–6+ years of experience in data engineering, software engineering, or a related technical role (level dependent).</span></li><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Strong experience with SQL and one or more programming languages such as Python, Scala, or Java.</span></li><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Hands‑on experience building and maintaining data pipelines using modern data engineering frameworks and tools.</span></li><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Experience with data warehousing, data modeling, and distributed data processing concepts.</span></li><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Familiarity with cloud platforms and data services (e.g., Azure, AWS, or GCP).</span></li><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Experience with big data technologies (e.g., Spark, Kafka) and relational / NoSQL databases is an asset.</span></li><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Understanding of DevOps and DataOps practices, including CI/CD and infrastructure‑as‑code.</span></li><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Strong problem‑solving and analytical skills with a pragmatic engineering mindset.</span></li><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Ability to collaborate effectively with cross‑functional teams and translate business requirements into technical solutions.</span></li><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Strong written and verbal communication skills.</span></li><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Demonstrated ability to work independently while contributing to team‑based delivery.</span></li><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Experience with Airline data and/or Human Resource data an asset.</span></li><li><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Demonstrate punctuality and dependability to support overall team success in a fast-paced environment.</span></li></ul><p><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;"><strong>Conditions of Employment:</strong></span></p><p><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Candidates must be eligible to work in the country of interest at the time any offer of employment is made and are responsible for obtaining any required work permits, visas, or other authorizations necessary for employment. Prior to their start date, candidates will also need to provide proof of their eligibility to work in the country of interest.</span></p><p><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;"><strong>Linguistic Requirements</strong></span></p><p><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Based on equal qualifications, preference will be given to bilingual candidates.</span></p><p><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;"><strong>Diversity and Inclusion</strong></span></p><p><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Air Canada is strongly committed to Diversity and Inclusion and aims to create a healthy, accessible and rewarding work environment which highlights employees’ unique contributions to our company’s success.</span></p><p><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">As an equal opportunity employer, we welcome applications from all to help us build a diverse workforce which reflects the diversity of our customers, and communities, in which we live and serve.</span></p><p><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;"><strong>Air Canada thanks all candidates for their interest; however only those selected to continue in the process will be contacted.</strong></span></p>

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