Senior Data Analytics & Engineering Lead – Aerospace Manufacturing

Cyient; Montreal (administrative region); On-site; CAD 120,000 - 170,000; Full time

Job summary

Cyient is seeking a Senior Data Analytics & Engineering Lead in Montreal to transform complex manufacturing and supply-chain data into actionable insights that improve quality, producibility and delivery performance.

You will develop Power BI dashboards, Databricks datasets, ETL pipelines and data models while collaborating with engineering, quality, supply chain and operations teams. Fluency in English and French is required, and a Bachelor’s degree in a relevant discipline is expected.

Qualifications

• Six or more years of relevant experience.
• Fluency in English and French.
• Advanced SQL, Python, Power BI/Tableau and Excel skills.
• Experience with Spark, Databricks, databases and cloud platforms.
• Knowledge of ETL, data modeling, architecture and governance.
• Aerospace, defense or manufacturing experience preferred.
• Bachelor’s degree in a relevant discipline.
• Eligible to work in Canada and able to work onsite in Montreal.

Responsibilities

• Develop Power BI dashboards and Databricks datasets.
• Build and optimize ETL pipelines, data models and analytics solutions.
• Analyze yield, supplier lead times, on-time delivery and production bottlenecks.
• Identify critical parts and support producibility improvements.
• Partner with engineering, quality, supply chain and operations teams.
• Support root-cause and corrective-action initiatives.
• Ensure data quality, governance, security and reliability.
• Mentor analysts and help drive the program’s data strategy.

Skills

Advanced SQL

Python

Power BI/Tableau

Excel

Bilingual English & French

Spark

Databricks

Data Modeling

ETL

Governance

Education

Bachelor’s degree in a relevant discipline

Tools

Databricks

Spark

Jira

Confluence

GitHub

Job description

Senior Data Analytics & Engineering Lead – Aerospace Manufacturing

LinkedIn post

Cyient is seeking a bilingual Senior Data Analytics & Engineering Lead to support a major aerospace manufacturing improvement initiative.

This is an exciting opportunity for an experienced analytics professional who can transform complex manufacturing and supply-chain data into actionable insights that improve quality, producibility and delivery performance.

What you’ll do:

• Develop Power BI dashboards and Databricks datasets
• Build and optimize ETL pipelines, data models and analytics solutions
• Analyze yield, supplier lead times, on-time delivery and production bottlenecks
• Identify critical parts and support producibility improvements
• Partner with engineering, quality, supply chain and operations teams
• Support root-cause and corrective-action initiatives
• Ensure data quality, governance, security and reliability
• Mentor analysts and help drive the program’s data strategy

What we’re looking for:

• Six or more years of relevant experience
• Fluency in English and French
• Advanced SQL, Python, Power BI/Tableau and Excel skills
• Experience with Spark, Databricks, databases and cloud platforms
• Knowledge of ETL, data modeling, architecture and governance
• Aerospace, defense or manufacturing experience preferred
• Bachelor’s degree in a relevant discipline
• Eligible to work in Canada and able to work onsite in Montreal

Experience with aerospace supply chains, RCCA, producibility, quality notifications, Jira, Confluence, GitHub or Agile environments would be highly valuable.

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