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
- Solid 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

Job Title: Data Analyst We are looking for a Data Analyst to join our team, working on operational analytics -helping analyze production, quality, and supply chain data to identify patterns and drivers behind operational performance issues. This role sits under our Data Analytics Lead and is focused on hands-on data work -pulling apart operational data to help explain what's driving delays or inefficiencies. This is an execution-focused role: heavy on analysis and computation, not on system architecture or platform design

📌 Data Analyst (Quebec City)
🏢 Cyient
📍 Quebec City