Job Description
Job Title: Senior Data Strategist (Principal Analyst)
Location: Toronto, ON (Hybrid)
Employment Type: Full-Time
We are hiring on behalf of our client for a Senior Data Strategist (Principal Analyst) to join their growing team in Toronto.
This position is designed for a strategic analytics professional with over 10 years of experience transforming complex data into executive-level clarity, mentoring junior talent, and bridging the gap between technical engineering squads and the C-suite. This is a high-impact role where you will have a seat at the table, helping our client architect how their entire organization perceives performance, handles data governance, and mitigates risk.
Drive Data Strategy: Architect enterprise-grade semantic layers and analytical frameworks that scale with organization growth.
Executive Liaison: Translate complex statistical outcomes into clear, high-impact strategic roadmaps for leadership.
Champion Governance: Define and enforce protocols for data quality, lineage, and master data management across the ecosystem.
Team Mentorship: Foster a culture of excellence by providing technical mentorship and code reviews for intermediate and junior analysts.
Process Optimization: Shift operational focus from baseline data maintenance to proactive, predictive intelligence and automated workflows.
10+ years of progressive experience in advanced analytics, business intelligence architecture, or decision science roles.
Programming Mastery: Advanced proficiency in Python or R for data modeling, statistical analysis, and sophisticated automation workflows.
Governance Credentials: An active professional certification in Data Governance (such as CDMP or DAMA).
Industry Domain Expertise: A proven track record navigating complex analytical frameworks within highly regulated environments (FinTech, Banking, Insurance, or Consulting).
Technical Depth: Mastery of enterprise SQL, dimensional modeling (star schemas), and modern BI visualization design (Power BI preferred).
Cloud & Big Data Literacy: Hands-on experience with modern data stacks and cloud environments (such as Azure, Databricks, or Snowflake).
Location: Must be based in the Greater Toronto Area and able to accommodate a hybrid work model with a mandatory office presence.
Requirements
Data
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