Cyient is seeking a motivated and experienced Data Analytics Engineer / Analyst to support an exciting aerospace manufacturing improvement initiative. In this role, you will develop and maintain data solutions, dashboards, and analytical models that enable data-driven decision-making and operational improvement.

If you are passionate about data analytics, enjoy solving complex business problems, and thrive in a collaborative environment, we'd love to hear from you.

Key Responsibilities

- Collaborate with program leads, data analysts, engineers, supply chain, quality, and operations teams to deliver data-driven solutions.
- Develop and maintain Power BI dashboards, reports, and datasets using Python, SQL, and related technologies.
- Analyze historical performance and demand trends to identify bottlenecks, delivery risks, and critical part numbers.
- Develop data models and KPI dashboards to monitor metrics such as yield, supplier lead times, production performance, and on-time delivery.
- Provide actionable insights to Engineering, Supply Chain, Quality, and Operations teams to support continuous improvement.
- Support the prioritization of critical components and identification of producibility/process improvement opportunities.
- Use SQL, Python, Power BI, Tableau, R, and Excel to analyze, visualize, and communicate business insights.
- Support monitoring of corrective actions and their impact on operational and delivery performance.
- Participate in Root Cause & Corrective Action (RCCA) initiatives.
- Perform data validation and ensure data quality, accuracy, and consistency.
- Support databases, data warehouses, and data lakes.
- Develop and maintain ETL/data transformation processes.
- Assist with data documentation, governance, and technical support.
- Collaborate with senior team members to implement scalable analytics and data solutions.

Required Qualifications





- Eligible to work in Canada and available to work onsite.
- 2–5 years of experience in Data Analytics, Business Intelligence, Data Engineering, Supply Chain, Quality, Manufacturing, or a related field.
- Aerospace, manufacturing, automotive, defense, or industrial experience is preferred.
- Bachelor's degree in Data Science, Engineering, Computer Science, Supply Chain, Statistics, or a related discipline.
- Fluent in French and English, both spoken and written.
- Strong analytical, statistical, and problem-solving skills.
- Hands-on experience with SQL, Python, Power BI, and Excel.
- Experience with at least one of R or Tableau.
- Knowledge of databases such as MySQL, PostgreSQL, MongoDB, or equivalent.
- Exposure to Apache Spark and/or Databricks.
- Knowledge of at least one cloud platform such as AWS, Azure, or Google Cloud.
- Understanding of ETL, data modeling, data warehousing, and data governance.
- Ability to work effectively with cross-functional teams.

Preferred Qualifications

- Experience in aerospace or manufacturing analytics.
- Experience with Supply Chain, Quality, Production, or Operations data.
- Knowledge of manufacturing KPIs, supplier performance, production yield, lead time, and on-time delivery.
- Exposure to RCCA, Root Cause Analysis, FMEA, Quality Notifications (QNs), or continuous improvement.
- Experience with producibility analysis or technical feasibility assessments.
- Experience with Jira, Confluence, GitHub, or similar tools.
- Exposure to Agile methodology.
- Experience with MS Project or project coordination.
- Ability to transform complex datasets into clear business insights and recommendations.
- Strong attention to detail and commitment to data quality.

Pay: $75,000.00-$80,000.00 per year

Advantages:

- Dental care
- Life insurance
- Paid time off
- Vision care

Experience:

- Data analytics: 2 years (required)

Work Location: In person

📌 Data Analyst (Canada)
🏢 Cyient
📍 Canada