Senior BI & Data Analytics Lead (Hybrid, Montreal)

Flex Travels Solutions Inc.; Montreal (administrative region); Hybrid; CAD 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Flex Travel Solutions in Montreal, QC is seeking a Senior BI & Data Analyst in a hybrid role. You will transform complex data into actionable insights for commercial, product, and operations teams, designing dashboards and data models.

Lead junior analysts, define KPI frameworks, and partner with data engineering to ensure robust pipelines while maintaining data quality and supporting self-serve analytics.

Qualifications

• 8+ years of experience in BI, data analytics, or reporting.
• Strong SQL proficiency with Python or R as an asset.
• Hands-on with Power BI and AWS QuickSight.
• Experience with cloud data warehouses (Snowflake, BigQuery, Redshift).
• Knowledge of time-series forecasting and anomaly detection.

Responsibilities

• Design, develop, and maintain dashboards and reports using Power BI and AWS QuickSight.
• Collaborate with stakeholders to translate reporting needs into data solutions.
• Write and optimize SQL queries across multiple sources.
• Develop data models, metrics definitions, and KPI frameworks.
• Mentor junior analysts and promote analytics standards.
• Present findings to technical and non-technical audiences.
• Ensure data quality and support self-serve analytics initiatives.
• Stay current with BI best practices and tooling.

Skills

SQL

Power BI

AWS QuickSight

Python

Data modeling

Time series analysis

Forecasting

Data storytelling

Education

Bachelor's degree

Tools

Power BI

AWS QuickSight

Snowflake

SQL

Job description

Flex Travel Solutions in Montreal, QC is seeking a Senior BI & Data Analyst in a hybrid role. You will transform complex data into actionable insights for commercial, product, and operations teams, designing dashboards and data models.

Lead junior analysts, define KPI frameworks, and partner with data engineering to ensure robust pipelines while maintaining data quality and supporting self-serve analytics.