About the RoleWe 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 SkillsRequired- 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 ProfileThe 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
