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The role of the Knowledge – Operations team is to explore operational data using a range of enterprise operations data solutions. The Data Management team is the primary resource for all operational data needs. It ensures the management of reliable data assets and develops key performance indicators, data models, and standardized reporting and data management solutions that support business units across the organization.

The Data Solutions Analyst is responsible for designing, implementing, and maintaining enterprise data solutions by collecting, integrating, and modeling operational data and customer data for large-scale use within the organization. This position involves developing scalable data pipelines and curated data models that support reporting, analytics, advanced visualizations, and new AI and machine learning use cases across all directions of the organization.

Responsibilities:
Design and Development of Data Solutions

Design, implement, and maintain enterprise data management solutions for operational and customer data.

Develop scalable data pipelines and curated data models for organizational use.

Implement initiatives related to data transformation, logic, and queries to provide reliable metrics.

Automate data-related processes and reporting to improve efficiency and scalability.

Design interim or manual data management solutions when automation is not yet possible.

Data Acquisition and Integration

Acquire and integrate data from key operational systems and datasets.

Develop manual data extraction methods when automated access is not possible.

Support data ingestion and insertion into regulated internal data environments.

Collaborate with IT partners to align integration approaches with enterprise platforms and standards.

Data Quality and Governance





Assess data quality and fitness for use in business and operational contexts.

Identify, analyze, and resolve data anomalies and data integrity issues.

Implement data validation rules, controls, and monitoring mechanisms.

Propose design and process improvements to increase data reliability.

Ensure compliance with enterprise data governance frameworks and standards.

Facilitation of Data Usage

Facilitate reporting, analytics, and advanced visualization through well-designed data assets.

Provide reliable modeled data for dashboards, performance indicators, scorecards, and reports.

Provide data and analytics support for business cases and improvement initiatives.

Develop data solutions that improve visibility into operational performance and trends.

Business Partnerships and Collaboration

Collaborate with business stakeholders to translate data needs into technical solutions.

Collaborate with Business Intelligence, Analytics, and IT teams to develop end-to-end data solutions.

Present data findings, perspectives, and solutions to stakeholders as needed.

Support corporate and cross-functional initiatives by providing reliable data.

Knowledge Sharing and Continuous Improvement

Transmit technical knowledge and best practices in data management to team members.

Contribute to the continuous improvement of data-related processes, tools, and working methods.

Support testing of new data sources, new pipelines, and modifications to existing structures.

Promote sustainable, well-documented, and supportable data solutions.

Qualifications

University or college degree in computer science or data management, or in a related discipline.





At least three years of relevant professional experience.

Experience working with enterprise data platforms, notably in the field of integration, management, and data storage solutions.

Experience with data processing and storage platforms such as Microsoft Fabric, Azure Data Factory, Talend, and Snowflake.

Experience with statistical or data analysis tools such as SAS or other data mining and analytical programming tools.

Proficiency in data and query languages, notably SQL/T-SQL, Python, DAX, and other database or scripting languages.

Strong talent for analysis, logic, and problem-solving, and great attention to detail.

Ability to design and implement data solutions in a dynamic, constantly evolving workplace.

Strong oral and written communication skills; ability to explain technical concepts to a non-technical audience.

Self-starter with the ability to manage multiple priorities with minimum supervision.

Ability to understand the operational and financial impacts of data-driven decisions and support cost-benefit analysis.

Employment Conditions:
Candidates must be eligible to work in the country concerned at the time an offer of employment is presented and are responsible for obtaining work permits, visas, or other necessary authorizations. Proof of eligibility must be provided before the start date.

Language Requirements
Equal skills considered, preference will be given to bilingual candidates.

Diversity and Inclusion
Air Canada is strongly committed to diversity and inclusion and aims to create a healthy, accessible, and rewarding workplace that highlights the unique contribution of our employees to our company's success.

As an equal prospect employer, we encourage diverse applications so that we can have a workforce that is varied and representative of our customers and the communities where we live and offer our services.

Air Canada thanks all candidates for their interest, but only those selected for an interview will be contacted.

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📌 Data Solutions Analyst (Quebec City)
🏢 Air Canada
📍 Quebec City