Data Analyst IV
- Toronto, ON, Canada
Contract Period: 9 months with potential to convert Pay Rate: Starting form $48 per hour Location: Toronto, ON Location Type: Hybrid Business Hours: Monday-Friday, Core business hours · Contract
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Job details
- Pay
- Contract Period: 9 months with potential to convert Pay Rate: Starting form $48 per hour Location: Toronto, ON Location Type: Hybrid Business Hours: Monday-Friday, Core business hours
- Job type
- Contract
- Apply by
- Experience
- 6 years of experience in data analytics, business intelligence, business analysis
- Posting language
- English
- Posted
Original job description
Our client is a top financial institution with significant North American holdings. They have operations across most major verticals, including institutional & corporate, wealth management, private clients, commercial banking, treasury, and retail banking.
Introduction:
Robertson is seeking a skilled Data Analyst IV to join our client in support of an existing vacancy.
Contract Period: 9 months with potential to convert
Pay Rate: Starting form $48 per hour
Location: Toronto, ON
Location Type: Hybrid
Business Hours: Monday-Friday, Core business hours
Job Responsibilities:
Background screening is required as part of the onboarding process. The type of screening required (criminal, credit, or other verifications) will vary based on the position and client requirements.
We use AI technology as part of our application review process to assist with screening and assessment. All applications are also reviewed by our recruitment team.
Introduction:
Robertson is seeking a skilled Data Analyst IV to join our client in support of an existing vacancy.
Contract Period: 9 months with potential to convert
Pay Rate: Starting form $48 per hour
Location: Toronto, ON
Location Type: Hybrid
Business Hours: Monday-Friday, Core business hours
Job Responsibilities:
- 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
- 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
- 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
- Undergraduate degree in Computer Science required
- 6 years of experience in data analytics, business intelligence, business analysis
- 2 yrs product ownership, or related roles
- 2 yrs Understanding of Agile delivery methodologies and product management practices
- 2yrs 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
- Knowledge of 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
- 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
- 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
Background screening is required as part of the onboarding process. The type of screening required (criminal, credit, or other verifications) will vary based on the position and client requirements.
We use AI technology as part of our application review process to assist with screening and assessment. All applications are also reviewed by our recruitment team.
More about this job
Responsibilities
Own analytics and reporting products, translating stakeholder needs into prioritized backlogs, delivery roadmaps, and measurable outcomes while facilitating Agile delivery. Develop and maintain Power BI dashboards and data solutions, analyze and validate data, support Azure-based modernization, and ensure products meet governance and security standards.
Requirements
Requires an undergraduate degree in Computer Science and six years of experience in data analytics, business intelligence, or business analysis, including experience in product ownership and Agile practices. Candidates should bring strong Power BI, SQL, and Python skills, familiarity with Azure analytics platforms, and experience in financial services or risk reporting.
Skills
- Product Ownership
- Power BI
- Data Modeling
- DAX
- Power Query
- SQL
- Python
- Azure Data Factory
- Azure SQL Database
- Synapse Analytics
- Databricks
- Unity Catalog
- Agile Delivery
- Data Analysis
- Risk Reporting
- Stakeholder Management
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Finance & Accounting
- Management & Leadership
Keywords
- Power BI
- DAX
- Power Query
- SQL
- Python
- Azure Data Factory
- Azure SQL Database
- Synapse Analytics
- Databricks
- Unity Catalog
- Azure Storage
- Alteryx
- Visio
- Power Pivot
- Advanced Excel
- Product Ownership
- Agile
- Product Backlog
- Data Modeling
- Data Governance
- Data Quality
- Data Modernization
- Risk Management
- Credit Risk
- Market Risk
- Regulatory Reporting
- Financial Services
- Business Analysis
- Data Analytics
- Business Intelligence