Senior Data Analyst (Contract) - Remote (Montreal Time Zone Preferred)

Senior Data Analyst (Contract) - Remote (Montreal Time Zone Preferred)

Location: Remote (Candidates located in or near the Montreal time zone will be prioritized)

Language Requirements: English required; bilingualism (French/English) is a strong asset.

We are seeking a highly skilled Senior Data Analyst for a contract position within a digital experience team. This role is ideal for someone who thrives in a data-driven environment and is passionate about transforming complex datasets into actionable insights.

Key Responsibilities

• Data Collection & Management: Aggregate, clean, and structure data from diverse sources including operational systems, training sessions, and maintenance logs.
• Data Analysis: Detect trends, patterns, and anomalies to support strategic decision-making.
• Reporting & Visualization: Build intuitive dashboards and reports using Power BI and other visualization tools.
• Performance Monitoring: Track KPIs and operational metrics to drive continuous improvement.
• Cross-Functional Collaboration: Work closely with teams across operations, IT, and finance to ensure data integrity and alignment with business goals.
• Decision Support: Deliver insights and recommendations to enhance scheduling, resource utilization, and operational efficiency.

Required Skills & Qualifications

• Bachelor's degree in Data Analytics, Statistics, Computer Science, or a related field
• Minimum 5 years of experience in data analysis or business intelligence
• Proficiency in Power BI and HEAP is mandatory
• Strong command of SQL and data modeling
• Experience with ETL processes and relational databases
• Solid understanding of statistical analysis and predictive modeling
• Excellent attention to detail and analytical thinking
• Strong communication skills for presenting data insights clearly

Preferred Qualifications

• Experience with Azure or Microsoft Fabric
• Familiarity with Python and PySpark
• Knowledge of data governance and privacy best practices
• Background in aviation, training, or tech-enabled environments