Senior Data Analytics Lead - Design, develop, and maintain advanced data solutions to support an aerospace manufacturing improvement initiative

Key Responsibilities:

- Collaborate with program leads, data scientists, analysts, and other stakeholders to deliver data-driven solutions for aerospace manufacturing improvement projects.

- Design, develop, and maintain data products (e.g., Power BI dashboards, Databricks datasets) using tools like Python and relevant libraries.

- Analyze historical performance and demand trends to identify bottlenecks and key part numbers.

- Create and maintain data models, dashboards, and reports to track KPIs such as yield, supplier lead times, and on-time delivery.

- Provide insights to cross-functional teams to drive corrective actions and process improvements in engineering, supply chain, and operations.

- Prioritize critical parts and recommend producibility enhancements.

- Use advanced data analytics tools (e.g., SQL, Python, Tableau, Power BI) for visualization and communication of findings.

- Track the impact of corrective actions on delivery performance and turnaround times.

- Support RCCA (Root Cause and Corrective Action) initiatives and collaborate on producibility enhancements.

- Ensure data quality, integrity, and reliability across the data lifecycle.

- Manage and optimize data systems, including databases, data warehouses, and data lakes.

- Implement and monitor ETL (Extract, Transform, Load) processes for seamless data integration.

- Uphold best practices in data storage, retrieval, security, and compliance.

- Document data engineering processes and provide technical support for data-related issues

Required Qualifications:

- Eligible to work in Canada and able to work on-site.





- 6+ years of experience in data analysis, supply chain, quality, or a related field, preferably in aerospace, manufacturing, or defense.

- Bachelor’s degree in data science, Engineering, Computer Science, Supply Chain, or a related field (master’s preferred).

- Fluency in English and French (spoken and written).

- Strong analytical and problem-solving skills, with expertise in statistical analysis and data visualization.

- Proficiency in tools and programming languages such as SQL, Python, R, Tableau, Power BI, and Excel.

- Experience with data frameworks like Apache Spark and databases (e.g., MySQL, PostgreSQL, MongoDB).

- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing tools (e.g., Databricks).

- Knowledge of ETL tools, data modeling, architecture, and governance.

- Ability to lead teams and work collaboratively in a fast-paced environment

Assets:

- Project management skills

- Knowledge of Jira/Confluence for project management

- Knowledge of GitHub for code repository management

- Knowledge of the Agile framework

- Results-oriented mindset with a focus on improving supply chain and delivery performance.

- Strong collaboration and teamwork skills to work effectively with cross-functional teams.

- Ability to synthesize complex data into transparent, actionable insights.

- Attention to detail and commitment to data accuracy and integrity.

- Leadership skills to mentor and guide data analysts, where applicable.

- Knowledge of aerospace/defense supply chain operations and challenges.

- Familiarity with producibility analysis, quality notifications (QNs), and technical feasibility assessments.

- Experience in driving data strategies aligned with program objectives

📌 Data Analytics Lead (Montreal)
🏢 Cyient
📍 Montreal