Data Analyst

Our Client, a Banking company, is looking for a Data Analyst for their Toronto, ON/ Hybrid location.

Responsibilities

• Apply statistical analysis, machine learning, and advanced analytics techniques to identify trends, risks, and optimization opportunities
• Design and build analytical models, experimentation frameworks, and data-driven solutions to address complex business problems
• Develop and maintain curated datasets, feature layers, and analytical data models to support both modeling and reporting use cases
• Translate ambiguous business problems into structured analytical approaches, KPIs, and measurable outcomes
• Deliver insights through interactive dashboards (Power BI), reporting solutions, and executive-ready storytelling
• Partner with stakeholders to define analytical requirements and design data-driven decision frameworks
• Ensure data quality, validation, and governance across both analytical models and BI outputs
• Operationalize analytics through automated pipelines, monitoring solutions, and repeatable reporting processes
• Continuously improve analytical methodologies, data assets, and reporting efficiency
• Support risk and control objectives through analytical monitoring and insight generation
• The role will design and deliver end-to-end analytics solutions combining data science, advanced analytics, and business intelligence.
• This role applies statistical analysis, machine learning, and data-driven experimentation to solve complex business problems, while also translating these insights into scalable dashboards, reporting solutions, and decision-support tools for stakeholders.
• Success in this role requires strong depth in data science and analytical problem solving, complemented by the ability to deliver intuitive, business-facing BI solutions that drive adoption and impact.

Requirements

• Must Have Hard Skills:
• Proficiency in Python (including Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and PySpark).
• SQL- writing complex queries, stored procedures, and data extraction.
• Experience with cloud-based data and AI/ML platforms (e.g., Azure, AWS, or GCP), including deploying and managing models in production environments.
• Proficiency in Power BI to create impactful visualizations and dashboards
• Soft Skills:
• Strong organizational skills with the ability to work in a fast-paced environment and manage multiple deadlines and priorities.
• Ability to effectively work in teams across the bank with multiple stakeholders and to influence and align others.
• Strong risk acumen – challenges the status quo and proactively manages risks.
• Ability to work in ambiguity and simplify complex issues.
• Strong work ethic and ability to execute with speed.
• Nice-To-Have
• Proficiency in Tableau
• Hands-on experience with machine learning techniques, including supervised and unsupervised learning, reinforcement learning, and causal inference.
• Experience building, training, and deploying machine learning models, including model pipelines, feature engineering, hyperparameter tuning, and model explainability.

Why Should You Apply?

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities