data analyst iv.

Our client, is seeking an experienced, highly versatile Data Analyst IV (Data & Analytics Product Owner - Risk Strategy & Enablement) to join their Risk Data & Analytic Product (DAP) team.

In this high-visibility, dual-capacity role, you will combine deep technical data analytics expertise with Product Owner leadership to drive the end-to-end delivery of data products, reporting solutions, and automated analytics. Acting as the primary liaison between Risk Management, Lines of Business, and Data Engineering teams, you will define product roadmaps, build prioritized backlogs in an Agile environment, and develop interactive Power BI dashboards, advanced SQL transformations, and Python automation scripts. Operating initially in a remote capacity with a planned transition to a hybrid in-office model, you will leverage cloud platforms like Azure and Databricks to modernize risk reporting, optimize data accessibility, and enable data-driven decision-making across the enterprise.

Duration: Full-Time Contract Engagement (High potential for conversion to permanent FTE)

Work Arrangement: Hybrid (Currently remote; transitioning to a mandatory hybrid in-office expectation down the road. Must be within commuting distance of corporate office)

Schedule: Monday to Friday, core business hours (Overtime as needed)

Advantages
FTE Conversion Pathway: Strong opportunity to convert to a permanent full-time (FTE) role with a leading financial enterprise.

Dual-Capacity Career Growth: Uniquely blend hands-on technical data engineering/BI development with strategic Agile product leadership and roadmap design.

Modern Cloud Data Ecosystem: Gain deep exposure to cloud-native data architectures, including Azure Data Factory, Synapse Analytics, Databricks, and Unity Catalog.

Enterprise Risk Leadership: Shape core data strategy, executive dashboards, and automated reporting frameworks for senior Risk Management executives.

Responsibilities
Product Ownership & Backlog Management: Serve as Product Owner for risk analytics products, defining product visions, building roadmaps, and translating business needs into epics, user stories, and acceptance criteria.

Agile Facilitation & Governance: Lead Agile ceremonies (sprint planning, backlog refinement, stand-ups, retrospectives) while prioritizing deliverable backlogs against technical dependencies and business strategy.

BI Dashboard & Analytics Development: Design, build, optimize, and maintain high-performing interactive Power BI dashboards, data models, DAX measures, and Power Query transformations.

Data Engineering & Automation: Write complex SQL queries, views, and stored procedures to profile and model datasets; utilize Python scripts to automate data validation, processing, and reporting workflows.

Cloud Platform Support: Collaborate with data engineers to support the Risk Data Factory and cloud modernization initiatives using Azure Data Factory, Synapse, and Databricks.

Stakeholder Management & Communications: Lead business discovery sessions, provide executive status updates, create data dictionaries/mapping specs, and support change management for analytics adoption.

Qualifications
Data Analytics & Product Ownership Depth: 8+ years of combined hands-on experience in data analytics, business intelligence, business analysis, and Agile product ownership.

Large Enterprise Track Record: Proven experience delivering data products and business analysis within a large-scale corporate enterprise.

Advanced Power BI Mastery: Demonstrated expertise in Power BI development, including data modeling, complex DAX measures, Power Query, and performance tuning.

Advanced SQL & Database Querying: Strong proficiency writing advanced SQL queries to analyze, profile, and transform complex relational datasets.

Python for Automation: Hands-on experience using Python for data analysis, pipeline automation, reconciliation, and data manipulation.

Agile Framework Proficiency: Solid understanding of Agile delivery methodologies, backlog refinement, user story writing, and product lifecycle management.

Education: Undergraduate degree in Computer Science, Data Analytics, Mathematics, Statistics, Engineering, Economics, Business Analytics, Finance, or a related discipline.

Preferred Assets & Nice-to-Haves
Industry domain experience in Financial Services, Banking, Enterprise Risk, Credit Risk, Market Risk, or Regulatory Reporting.

Hands-on exposure to cloud data tools including Azure Data Factory, Synapse Analytics, Databricks, or Unity Catalog.

Formal Agile or Product certifications (e.g., CSPO, SAFe PO/PM, or PMP).

Experience with additional analytics tools such as Alteryx, Visio, or advanced Excel modeling.

Summary
If you are a tech-savvy Senior Data Analyst and Product Owner who pairs 8+ years of enterprise experience with advanced Power BI, SQL, and Python skills alongside strong Agile product backlog leadership, this contract-to-hire opportunity is an ideal next step. Bring your data modeling precision, stakeholder facilitation skills, and product vision to our client's risk analytics team today!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to View email address on randstad.com to ensure their ability to fully participate in the interview process.

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