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- Employment type
- Full-time
- Experience level
- Mid-level · 2+ years
- Minimum education
- Bachelor’s degree
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Associate
- Application method
- Direct apply is available
Job summary
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.
Job details
📊 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.
What you’ll do
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.
Listed skills
- Power BI · Preferred
- SQL · Preferred
- Data analysis · Preferred
- Microsoft Excel · Preferred
- Communication · Preferred
- Root Cause Analysis · Preferred
- Process Improvement · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- 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
Job areas
- Data & Analytics
- Technology
- Manufacturing