Data Analyst IV X 2

Job Title: Data Analyst IV X 2
Location: Toronto, ON (Hybrid) – Open to  Markham
Estimated Duration: 6 Months

SUMMARY OF THE ROLE:
About the Role
The Risk Strategy, Governance & Enablement Data & Analytic Product (DAP) team is an innovative team that delivers data and analytics products across the Risk organization. We partner with business stakeholders to develop scalable analytics solutions, reporting capabilities, dashboards, automation processes, and insights that enable informed decision-making and improved risk management.
We are seeking a Senior Data Analyst / Product Owner to support the end-to-end delivery, enhancement, and lifecycle management of data and analytics products. This hybrid role combines deep analytical expertise with product ownership responsibilities, requiring the successful candidate to translate business needs into data-driven solutions while driving product strategy, prioritization, stakeholder engagement, and Agile delivery.
The successful candidate will work closely with Risk Management, business stakeholders, technology teams, and data engineering partners to define product roadmaps, gather and document requirements, prioritize delivery backlogs, and develop analytics solutions that create measurable business value. This role offers exposure to enterprise data initiatives, modern cloud technologies, risk management processes, and strategic transformation programs. This role also has the potential to convert into an FTE role post engagement.
Key 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.

MUST-HAVE Hard Skills:

• 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, SAFe Product Owner/Product Manager, or equivalent experience considered an asset.