Cyient

Data Analytics Lead

Cyient • $100K — $120K *
Montreal, QC H1A 0A1In-Person
Aerospace & Defense
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Eligible to work in Canada and able to work on-site.
  • 6+ years of experience in data analysis or related field, preferably in aerospace or manufacturing.
  • Bachelor's degree in a relevant field; master's preferred.
  • Fluency in English and French, both spoken and written.
  • Strong analytical skills with expertise in statistical analysis and data visualization.
  • Proficiency in SQL, Python, R, Tableau, Power BI, and Excel.
  • Familiar with cloud platforms and data warehousing tools.

Responsibilities

  • Collaborate with stakeholders to deliver data-driven solutions for manufacturing improvement.
  • Design and maintain data products using tools like Python and Power BI.
  • Analyze historical performance to identify trends and bottlenecks.
  • Create and maintain dashboards to track vital KPIs.
  • Provide insights for process improvements across various teams.
  • Manage and optimize data systems including data lakes and warehouses.
  • Implement and monitor ETL processes for data integration.

Benefits

  • Opportunity to work on innovative aerospace manufacturing projects.
  • Collaborative work environment with cross-functional teams.
  • Professional growth through leadership and mentorship opportunities.
  • Engagement with advanced data analytics tools and technologies.
  • Contribution to significant process improvements in supply chain management.
Full Job Description
Job Description

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

About Cyient

Cyient is an engineering services company that provides design, engineering, and manufacturing solutions to clients in various industries. The company's services include product design, engineering, and testing, as well as software development and IT services. Cyient's clients include aerospace, defense, medical, and telecommunications companies, among others. The company was founded in 1991 and is headquartered in Hyderabad, India.
Learn more about Cyient
Size
15,000 employees
Industry
Manufacturing & Automotive
Founded
1991
* Ladders Estimates

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