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Senior Data Analyst

Virtusa
4 days ago
Full-time
On-site
Toronto, Ontario, Canada

We are seeking a versatile Senior Business & Data Analyst to bridge the gap between complex data engineering and strategic business decision-making. The ideal candidate will possess the technical rigor to build automated data pipelines and be responsible for end-to-end data governance, performance optimization, and providing executive-level insights through advanced visualization.We are seeking a versatile professional to serve as a bridge between complex data engineering and strategic business decision-making. The ideal candidate will combine strong analytical rigor with acute business acumen, leveraging experience in both Data and Business analysis. This role is crucial for driving Data Modernization efforts, ensuring strong governance, and translating technical insights into clear, actionable strategies for our customer and multiple stakeholders. Business & Stakeholder Engagement   Act as a key consultant for multiple stakeholders and business leaders, gathering, defining, and prioritizing clear feature requirements. Serve as the primary liaison, providing excellent verbal and written communication with customers and technical teams.
Data Analysis & Pipeline Development   Apply advanced proficiency in Python and SQL to perform in-depth data analysis, build, and optimize scalable data pipelines to support Data Modernization initiatives.
Data Governance & Quality   Lead initiatives to establish and maintain data quality, ensuring high standards of data governance and compliance for reliable business forecasting.
Reporting and Presentation   Be responsible for the creation of presentation and compelling narratives that translate complex data analysis results into high-impact, executive-level business insights.
Required Skills and Experience
Core Experience   Proven experience in a role that effectively combines Data Analysis and Business Analysis, successfully translating business requirements into technical solutions.
Technical Stack   Advanced proficiency in SQL and Python for data processing, scripting, and analysis.
Data & Cloud Concepts   Strong understanding of data warehousing, ETL, and Data Modernization concepts. Experience with cloud platforms  is preferred.