Data Analyst

2 weeks ago
Montreal, Quebec, Canada Cyient Full-time
Roles & Responsibilities
• Work with structured operational data using Python and Excel to clean, analyze, and compute insights
• Support the Data Analytics Lead in building and maintaining Power BI dashboards and reports
• Pull and work with data from Databricks when required for analysis
• Perform exploratory data analysis to identify trends, patterns, and anomalies in operational datasets
• Assist in connecting data across different operational systems to support root-cause analysis
• Collect data from different stakeholders, validate accuracy, and align on definitions across sources
• Create presentations summarizing process improvement initiatives for reporting to senior management
• Present insights and findings to different stakeholders, translating data into clear, actionable takeaways
• Prepare clear, accurate outputs (reports, charts, summaries) for review by the lead and stakeholders Required
• 2-4 years of experience in a data analyst or similar hands-on analytics role
• Bachelor’s degree in data science, Engineering, Computer Science, Supply Chain or a related field
• Exposure to operational analytics -analyzing production, quality, supply chain, or similar operational data
• Strong Python skills for data manipulation and analysis (Pandas or similar)
• Strong Excel skills (formulas, pivot tables; Power Query is a plus)
• Working knowledge of SQL for querying and joining data
• Exposure to Power BI (building or maintaining dashboards, DAX basics)
• Exposure to Databricks -comfortable pulling and working with data hosted there
• Comfortable creating presentations (PowerPoint) to communicate findings to senior stakeholders
• Good communication skills -able to collect, validate, and align data with different stakeholders, and present insights clearly
• Good attention to detail and comfort working with messy, real-world operational data
• Manufacturing, aerospace, or industrial operations exposure is a plus, but not required What This Role Is Not
• Not a data architecture, data engineering, or platform-design role
• Not a people-management role -you'll support the lead, not run the engagement independently

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