Use Python, Excel, and Power BI to analyze operational data and create transparent insights for stakeholders. This hands-on analytics role supports a Data Analytics Lead.

You will work with structured and messy operational datasets, using Pandas or similar tools, SQL, and Databricks. The position supports dashboard maintenance, exploratory analysis, root-cause investigations, and process improvement reporting. You will collect and validate data across stakeholders, align definitions, and present findings clearly.

Key Responsibilities:

- Clean, analyze, and compute insights from operational data
- Build and maintain Power BI dashboards and reports
- Perform exploratory analysis to identify trends and anomalies
- Connect data across systems for root-cause analysis
- Present actionable findings to senior stakeholders

Requirements:

- Two to four years in data analytics or similar roles
- Bachelor’s degree in data science or related field
- Strong Python, Excel, SQL, and Power BI skills
- Exposure to Databricks and operational analytics
- Clear communication and strong attention to detail

Apply your Python, Excel, SQL, and Power BI expertise to operational analysis, reporting, and stakeholder communication.

📌 Operational Data Analyst Python Power BI (Montreal)
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📍 Montreal