Senior Data Analyst / Product Owner

TekStaff's Client has a current vacancy for a Senior Data Analyst / Product Owner.

Positions: 2

Contract Duration: 4 months / 9 months

Location: Toronto OR Markham, ON - Hybrid (currently remote but will move to an in-office expectation down the road).

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.

TekStaff may use artificial intelligence (AI) tools as part of the applicant screening process. However, applications will also be reviewed by a member of our Recruitment team to ensure a fair and thorough assessment.