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Data Analyst

Sapsol Technologies Inc
Longueuil, Quebec, Canada Posted Oct 8, 2026
Full-time

About this role

About the job

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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