Senior Data Strategist

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.

Key Responsibilities

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. Mandatory Qualifications 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 (Fin.

Tech, 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.