Data Analytics Lead

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 clear, 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

Design and maintain advanced data solutions and dashboards to support aerospace manufacturing improvement initiatives. Collaborate with cross-functional teams to analyze performance trends and drive process improvements in supply chain and operations.

Requires a bachelor's degree in a technical field and over 6 years of experience in data analysis, preferably within aerospace or manufacturing. Proficiency in SQL, Python, and data visualization tools, along with fluency in English and French, is required.

• Visualisation de donnéesSouhaitée
• Power BISouhaitée
• SQLSouhaitée
• TableauSouhaitée
• GitHubSouhaitée
• JiraSouhaitée
• AgileSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• SQL
• Power BI
• Tableau
• Databricks
• Apache Spark
• ETL
• Data Modeling
• Statistical Analysis
• Data Visualization
• Supply Chain Analytics
• Root Cause and Corrective Action
• Agile
• GitHub
• Jira
• Confluence

• Data & Analytics
• Manufacturing
• Engineering
• Logistics
• Technology

Formation minimale

Baccalauréat

Expérience minimale

5+ ans

Postuler avant le

3 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level