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

Responsibilities:

- Product ownership & business analysis:

- Serve as Product Owner for analytics and reporting products, acting as the primary liaison between business stakeholders and delivery teams.

- Partner with Risk Management, Lines of Business, and Technology stakeholders to identify business needs, define product vision, and develop delivery roadmaps.

- Lead business discovery and requirements gathering sessions to understand current processes, pain points, and opportunities for optimization and automation.

- Translate business requirements into epics, features, user stories, acceptance criteria, and prioritized product backlogs.

- Define product objectives, success metrics, business outcomes, and value realization measures.

- Manage and prioritize product backlogs, balancing business priorities, technical dependencies, production support needs, and strategic initiatives.

- Facilitate Agile ceremonies including sprint planning, backlog refinement, stand-ups, reviews, and retrospectives.

- Identify assumptions, risks, dependencies, constraints, and mitigation strategies throughout the product lifecycle.

- Support stakeholder communications, change management activities, training, and adoption of analytics products.

- Provide status updates, recommendations, and executive communications to Risk leadership and senior stakeholders.

- Assess opportunities for standardization, optimization, automation, and scalability across Risk reporting and analytics processes.

- Data analytics & solution delivery:

- Design, develop, enhance, and maintain interactive Power BI dashboards and reports for operational, management, and executive audiences.

- Analyze, profile, and transform data from multiple internal and external sources to create scalable and reusable analytics datasets.

- Develop and optimize SQL queries, stored procedures, views, and data models to support reporting and analytics requirements.





- Utilize Python to automate data processing, reconciliation, validation, and reporting workflows.

- Perform detailed data analysis to identify patterns, trends, anomalies, and opportunities to support strategic decision-making.

- Conduct data integrity, quality, and reconciliation assessments to ensure reliability and accuracy of analytics products.

- Support the Risk Data Factory and enterprise data modernization initiatives by leveraging Azure-based technologies.

- Develop business rules, data mapping documentation, process flows, and data dictionaries.

- Support modernization and automation initiatives aimed at reducing manual reporting and increasing self-service analytics capabilities.

- Perform root cause analysis and provide ongoing support for production issues and product enhancements.

- Technology & data platform responsibilities:

- Utilize Microsoft Azure services including Azure Data Factory, Azure SQL Database, Synapse Analytics, Databricks, Unity Catalog, and Azure Storage Services.

- Collaborate with data engineers and technology teams to support data ingestion, transformation, curation, and operationalization activities.

- Support development of enterprise data assets and reporting solutions aligned with Risk data strategy.

- Ensure analytics products adhere to governance, security, and data management standards.

Requirements:

- 8+ years of experience in data analytics, business intelligence, business analysis, product ownership, or related roles.

- Strong understanding of Agile delivery methodologies and product management practices.

- Proven experience leading requirements gathering, stakeholder engagement, and backlog prioritization activities.





- Advanced experience with Power BI, including:

- Data Modeling

- DAX Measures and Calculations

- Power Query

- Dashboard and Report Development

- Performance Optimization

- Strong SQL skills with experience working with large and complex datasets.

- Proficiency in Python for data analysis and automation.

- Experience working with enterprise data environments and cloud-based analytics platforms.

- Strong analytical and problem-solving capabilities with the ability to connect business requirements to data solutions.

- Experience documenting business requirements, process flows, user stories, and data specifications.

- Soft skills:

- Excellent verbal, written, facilitation, and presentation skills.

- Ability to manage multiple priorities and work independently in a fast-paced environment.

- Nice-to-have

- Experience in Financial Services, Banking, Enterprise Risk, Credit Risk, Market Risk, Regulatory Reporting, or Governance reporting.

- Strong understanding of risk management concepts, including credit risk, market risk, and risk reporting processes.

- Experience serving as Product Owner, Product Manager, Senior Business Analyst, or Delivery Lead in an Agile environment.

- Experience leading cross-functional change initiatives involving business and technology stakeholders.

- Knowledge of reference data, client hierarchies, data governance, and enterprise data management practices.

- Experience with Azure Data Factory, Synapse Analytics, Databricks, Unity Catalog, and modern cloud data platforms.

- Familiarity with Alteryx, Visio, Power Query, Power Pivot, and advanced Excel capabilities.

- Experience developing executive presentations, strategy papers, and leadership communications.

- MBA, Agile certification, CSPO, Secure Product Owner/Product Manager, or equivalent experience considered an asset.

Why Should You Apply?

- Health Benefits

- Referral Program

- Excellent growth and advancement opportunities

📌 Data Analyst (Toronto)
🏢 Iconma Portal
📍 Toronto