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Added 5 mins ago
BG
Personal support worker - home support
B. Gabay
Cote-Saint-Luc, QC
- From $19.25 CAD / hour
- Full-time
- Contract
- On-site
Added 7 mins ago
BM
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Added 9 mins ago
SD
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AA
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Added 23 mins ago
B
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Added 23 mins ago
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R
Stage - Hiver 2027 - Analyste en comptabilité financière / Internship - Winter 2027 - Financial Accounting Analyst
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Added 37 mins ago
SP
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Added 39 mins ago
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Added 39 mins ago
RB
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Added 43 mins ago
CD
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Added 54 mins ago
DT
consultant, management
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InfoStride

Data Analyst

Longueuil, QC, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Nov 7, 2026
Experience: ✅ 2–4 years of Data Analytics experience
Posting language: English
Posted: Oct 8, 2026

Original job description

📊 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.

Apply About employer

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

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

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