Closed listing
Data Analyst
- Longueuil, QC, Canada
Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Full-time
- Closing date
- Experience
- ✅ 2–4 years of Data Analytics experience
- Posting language
- English
- Posted
Similar jobs hiring now
Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
📊 Hiring: Data Analyst
📍 Location: Longueuil, QC
Full-Time
🇨🇦 Visa: Canadian Citizens & Permanent Residents only
🗣️ Language: English required | French is a plus
We are looking for a Data Analyst with 2–4 years of hands-on experience working with operational data and business analytics.
🔹 Key Responsibilities
• Clean, analyze, and interpret operational data using Python & Excel
• Build and maintain Power BI dashboards & reports
• Pull and analyze data from Databricks
- Perform exploratory analysis to identify trends, patterns, and anomalies
- Work with stakeholders to validate and align data across systems
- Support root-cause analysis and process improvement initiatives
- Create presentations and communicate actionable insights to senior leadership
🔹 Required Skills
✅ 2–4 years of Data Analytics experience
✅ Strong Python/Pandas skills
✅ Advanced Excel – formulas, Pivot Tables, Power Query
✅ Working knowledge of SQL
✅ Power BI & basic DAX
✅ Databricks exposure
✅ PowerPoint & strong presentation skills
✅ Excellent communication and attention to detail
✅ Experience with operational/manufacturing data is a plus
🎓 Bachelor’s degree in Data Science, Engineering, Computer Science, Supply Chain, or related field.
More about this job
Responsibilities
Clean, analyze, and interpret operational data using Python and Excel; build and maintain Power BI dashboards and reports; and analyze data from Databricks. Identify trends, patterns, and anomalies, validate data with stakeholders, support root-cause analysis and process improvements, and present actionable insights to senior leadership.
Requirements
Requires 2–4 years of data analytics experience, strong Python and Pandas skills, advanced Excel, working knowledge of SQL, and experience with Power BI, basic DAX, and Databricks. A bachelor's degree in Data Science, Engineering, Computer Science, Supply Chain, or a related field is specified; operational or manufacturing data experience is a plus.
Skills
- Python
- Pandas
- Excel
- Power Query
- SQL
- Power BI
- DAX
- Databricks
- Data Analysis
- Operational Data
- Exploratory Analysis
- Root-Cause Analysis
- Process Improvement
- PowerPoint
- Presentation Skills
- Communication
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Manufacturing
Keywords
- Data Analytics
- Operational Data
- Business Analytics
- Python
- Pandas
- Excel
- Pivot Tables
- Power Query
- SQL
- Power BI
- DAX
- Databricks
- Exploratory Analysis
- Trend Analysis
- Anomaly Detection
- Data Validation
- Root-Cause Analysis
- Process Improvement
- PowerPoint
- Data Visualization
- Manufacturing Data
- Aviation and Aerospace Component Manufacturing
- Supply Chain
- Stakeholder Collaboration
- Senior Leadership