Data Analyst

Kelly; Toronto; Remote; CAD 90,000 - 130,000; Full time

Job summary

Kelly in Toronto, ON seeks a Senior Data Analyst / Product Owner to drive end-to-end delivery of analytics products within Risk. You will own roadmaps, prioritize backlogs, and translate requirements into scalable BI solutions, dashboards, and data models using Power BI and SQL.

You will partner with business, Risk, technology and data engineering to advance data modernization, governance and self-service analytics across the enterprise.

Qualifications

• Experience combining Product Owner and hands-on Data Analyst responsibilities in a large enterprise.
• Advanced Power BI skills: data modeling, DAX, Power Query, dashboards and performance optimization.
• Strong SQL skills and experience with large datasets.
• Proficiency in Python for data analysis and automation.

Responsibilities

• Own analytics products, define product vision and roadmaps, and prioritize backlogs.
• Lead stakeholder discussions, requirements gathering, epics, user stories, and data specs.
• Develop and optimize Power BI dashboards, reports, data models, DAX measures, and Power Query transformations.
• Write complex SQL queries, stored procedures, and views; use Python for data analysis and automation.
• Collaborate with Risk, technology and data engineering on Azure-based data ingestion and modernization.

Skills

Power BI

SQL

Python

Agile / Scrum

Data Modeling

Stakeholder Mgmt

Education

Undergraduate degree in CS/Analytics/Engineering

Tools

Azure Data Factory

Azure SQL

Synapse Analytics

Databricks

Job description

Job Title: Senior Data Analyst / Product Owner

Duration: 12 months (possible conversion)

Location: Toronto, ON (currently remote but RTO soon)

Role Overview: Seeking an experienced Senior Data Analyst / Product Owner to manage the end-to-end delivery of data and analytics products within the Risk organization. This role combines product ownership, business analysis, and hands-on technical expertise to deliver scalable Power BI dashboards, reporting solutions, automation, and actionable insights.

The successful candidate will partner with business, Risk, technology, and data engineering stakeholders to define product roadmaps, prioritize backlogs, translate requirements into analytics solutions, and support enterprise data modernization initiatives.

Key Responsibilities

• Own analytics products, define product vision and roadmaps, and prioritize backlogs aligned with business and Risk objectives.
• Lead stakeholder discussions, requirements gathering, process analysis, and documentation of epics, user stories, acceptance criteria, and data specifications.
• Develop and optimize Power BI dashboards, reports, data models, DAX measures, and Power Query transformations.
• Write complex SQL queries, stored procedures, and views; use Python for data analysis, automation, reconciliation, and validation.
• Analyze large, complex datasets to identify trends, anomalies, and actionable insights.
• Ensure data quality, integrity, governance, security, and accuracy across reporting solutions.
• Facilitate Agile ceremonies, manage dependencies and risks, and communicate progress to stakeholders and leadership.
• Collaborate with technology and data engineering teams on Azure-based data ingestion, transformation, and modernization initiatives.
• Improve reporting efficiency, automation, scalability, and self-service analytics capabilities.

Mandatory Qualifications

• Demonstrated experience combining Product Owner and hands-on Data Analyst responsibilities in a large enterprise environment.
• Advanced Power BI skills, including data modeling, DAX, Power Query, dashboard development, and performance optimization.
• Strong SQL skills and experience handling large, complex datasets.
• Proficiency in Python for data analysis and workflow automation.
• Strong understanding of Agile methodologies, product management, requirements gathering, and backlog prioritization.
• Experience translating business needs into technical requirements, user stories, process flows, and data specifications.
• Undergraduate degree in Computer Science, Data Analytics, Mathematics, Statistics, Engineering, Economics, Business Analytics, Finance, or a related discipline.

Preferred Qualifications

• Experience in banking, financial services, Enterprise Risk, Credit Risk, Market Risk, regulatory reporting, or governance reporting.
• Experience with Microsoft Azure Data Factory, Azure SQL, Synapse Analytics, Databricks, Unity Catalog, and Azure Storage.
• Knowledge of risk management, data governance, reference data, client hierarchies, and enterprise data management.
• Familiarity with Alteryx, Visio, Power Pivot, and advanced Excel.
• Experience in cross-functional delivery, change management, executive presentations, and leadership communications.
• MBA, CSPO, Agile, SAFe Product Owner/Product Manager certification, or equivalent experience.