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Open nowPosted 7 hours ago

Data Analyst

Workable (global search)107,962 open roles

Where
Longueuil, QC, Canada
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Your applicationOpen nowData AnalystWorkable (global search) · Longueuil, QC, Canada
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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 3 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.5%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 33.9%30 days
This job: posted 7 hours ago

Workable (global search) median: 3 days open

The posting

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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