Data Analyst

GFT Technologies SE•Toronto, ON

6d•CA$75,000 - CA$90,000•Hybrid

About The Position

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.

Requirements

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
Strong experience with Power BI
Strong experience with Excel (advanced functions, pivot tables, Power Query)
Strong experience with Data visualization and dashboard development
Strong experience with 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.

Nice To Haves

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.

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.