Data Analyst

About the Role

We are seeking a skilled Data Analyst to join our growing team in Toronto. This position is ideal for an analytical professional with 5-7 years of experience transforming complex data into actionable business insights. You will work closely with business stakeholders, technology teams, and leadership to analyze data, develop reporting solutions, improve decision-making, and support strategic initiatives across the organization.

This role requires a strong combination of data analysis, business intelligence, stakeholder engagement, and data visualization expertise.

Location: Toronto, ON (Hybrid - mandatory office presence)

Employment Type: Full-Time

Key Responsibilities

• Collect, analyze, validate, and interpret large datasets from multiple sources.
• Develop and maintain dashboards, reports, KPIs, and scorecards using modern BI tools.
• Translate business requirements into meaningful analytical solutions and reporting frameworks.
• Perform data profiling, cleansing, validation, and quality assurance activities.
• Identify trends, patterns, risks, and opportunities through data-driven analysis.
• Create and maintain semantic models, datasets, and data dictionaries.
• Support business stakeholders with ad hoc analysis and data-driven recommendations.
• Partner with technical teams to improve data quality, governance, and reporting capabilities.
• Develop and automate reporting processes to improve efficiency and accuracy.
• Present findings and actionable insights to both technical and non-technical audiences.
• Support data governance initiatives and ensure compliance with data management standards.
• Participate in Agile delivery teams and contribute to continuous process improvements.

Required Qualifications

• Undergraduate degree in Computer Science, Information Systems, Mathematics, Statistics, Business Analytics, Engineering, Finance, or a related discipline.
• 5-7 years of experience in Data Analysis, Business Intelligence, Reporting, or Analytics roles.
• Strong experience with:
  • SQL
  • Power BI
  • Excel (advanced functions, pivot tables, Power Query)
  • Data visualization and dashboard development
  • Data modelling and KPI reporting
• Experience gathering and documenting business requirements.
• Strong analytical and problem-solving abilities.
• Experience performing data quality assessments and validation activities.
• Excellent communication and stakeholder management skills.
• Ability to communicate complex analytical findings in a clear and concise manner.

Preferred Qualifications

• Experience working with Azure Data Platform, Databricks, or cloud-based analytics solutions.
• Knowledge of Python for data analysis and automation.
• Experience with Power Query (M), DAX, and semantic models.
• Understanding of ETL/ELT processes and data transformation concepts.
• Experience operating in Agile/Scrum environments.
• Familiarity with data governance, metadata management, and reporting best practices.
• Exposure to banking, financial services, insurance, public sector, or consulting environments.

Technical Skills

Required

• SQL
• Power BI
• DAX
• Power Query
• Excel (Advanced)
• Data Analysis & Reporting
• Dashboard Development
• KPI & Performance Measurement
• Data Validation & Quality Control

Nice to Have

• Python
• Databricks
• Azure Data Services
• ServiceNow Reporting
• SharePoint
• Azure DevOps
• Git

Success Profile

The ideal candidate is:

• Highly analytical and detail-oriented.
• Comfortable working with large and complex datasets.
• Curious and proactive in identifying business opportunities through data.
• Skilled at balancing technical analysis with business context.
• Able to work independently while collaborating effectively with cross-functional teams.
• Passionate about delivering insights that drive measurable business outcomes.

Salary Range : 75-90k/year