Specialist, Analytic Data Solutions

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.
Air Canada is looking for a dynamic and experienced
Technical Specialist, Analytic Data Solutions
to join our Customer & Loyalty Analytics team. This pivotal role involves architecting, building, optimizing, and maintaining pipelines, data marts, web applications and AI agents to enhance our analytics capabilities. Reporting to the Director – Travel Marketing & Loyalty Spend Analytics, you will be instrumental in ensuring the robustness and effectiveness of our analytics assets.

The ideal candidate will possess deep expertise in data management and best practices for data products. A successful candidate will seamlessly blend advanced technical skills with strategic insight, driving data initiatives that align with business objectives and propel organizational performance.

Responsibilities

• Pipeline & Data Mart Development: Design, build, optimize, and maintain scalable data marts to support various analytics initiatives.
• Web Application & AI Agent Management: Optimize, troubleshoot, and maintain the Streamlit web applications and Dataiku AI Agents, ensuring peak performance and reliability. This empowers our business stakeholders with on-demand access to analytics, data science, and Gen AI processes and outputs.
• Machine Learning Operations (MLOps): Own the deployment and ongoing maintenance of data science models in production environments.
• Data Infrastructure Management: Own the development and optimization of data infrastructure, ensuring high performance and reliability.
• Data Governance: Implement and uphold best practices for data quality, ensuring accuracy and consistency across all analytics data assets.
• Performance Optimization: Continuously monitor and optimize data processes to improve efficiency and reduce latency.
• Best Practices Leadership: Serve as a subject matter expert (SME) on best practices in data management for all analytics assets, including DevOps methodologies.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective solutions.
• Innovation: Stay current with industry trends and emerging technologies, driving innovation in data engineering practices.

Qualifications
Education:

• Degree: A master's degree in Data Engineering, Business Analytics, Data Science, Information Technology or Computer Science.

Technical Skills

• Proficiency in programming languages such as Python.
• Strong knowledge of SQL for database management.
• Experience with data warehousing solutions (e.g., Azure, Snowflake).
• Experience with data science and AI tools (e.g., Dataiku).
• Experience with Web Application (e.g., Streamlit)
• Experience with LLM Prompt Engineering.
• Familiarity with Extract, Transform, Load (ETL) processes and tools.
• Understanding of data modeling and data architecture principles.

Business Skills

• Strong business acumen with a clear understanding of analytics needs.
• Insight into business processes and the impact of data on decision-making.
• Proactive and self-driven approach to problem-solving.
• Excellent collaboration and teamwork abilities.
• Solution-oriented mindset focused on delivering results.
• Effective verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
• Highly organized, capable of managing multiple projects simultaneously.
• Demonstrate punctuality and dependability to support overall team success in a fast-paced environment.

Experience

• Years of Experience: 5-10 years in data management, data engineering, or related roles, with a focus on aligning data strategies with business goals.
• Relevant Roles: Experience in data analysis, database administration, or software development is beneficial.
• Industry Knowledge: Familiarity with specific industries (e.g., Travel, Hospitality, Marketing, Loyalty) enhances business acumen.

Why Join Us?
At Air Canada, we prioritize innovation and excellence. Join our team to work on exciting projects that enhance customer loyalty and analytics capabilities. We offer a dynamic work environment with ample opportunities for professional growth.

Conditions Of Employment
Candidates must be eligible to work in the country of interest, at the time any offer of employment is made and seeking any required work permits/visas or other authorizations which may be required is the sole responsibility of the candidates applying for this position.

Linguistic Requirements
Based on equal qualifications, 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 work environment which highlights employees' unique contributions to our company's success.

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.

Air Canada thanks all candidates for their interest; however only those selected to continue in the process will be contacted.