A career in our Chief Data and Analytics Office (“CDAO”) within PwC’s Business Enablement team will provide you with the opportunity to leverage innovative solutions to enable data-driven decision making for our organization. We are dedicated to helping our leaders transform data into actionable insights through reporting, dashboards, and other data products. The ideal candidate will play a crucial role in the development, delivery, and continuous improvement of dashboards and reporting tools.

You will work closely with stakeholders across Finance, Sales & Marketing, Human Capital, and other parts of the business to support our developers and project team members to ensure that our dashboards meet the strategic needs of our leadership and drive informed decision-making. As a Data and Product Analyst at the Senior Associate level, unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. Transform business problems into thoughtfully designed solutions mock-ups and clear technical requirements in partnership with the portfolio lead Document business requirements and create detailed user stories, acceptance criteria, and specifications to guide development and testing Perform initial data analysis to assess project feasibility and provide actionable feedback for developers, working closely with the development team to ensure design and development outputs meet key business objectives Support user acceptance testing (UAT) and internal quality assurance (QA) to ensure deliverables meet high standards Review development outputs, support QA and UAT, and derive key insights to benefit stakeholders Experience collaborating with business stakeholders and delivering client services Background as a Business Analyst or in a data-focused environment is highly valued Degree or certification in Business or a related field; CBAP (Certified Business Analyst Professional) certification is an asset Strong expertise in data product development, data visualization, data platforms (e.g.,



Databricks), and business intelligence tools (e.g., Power BI) Ability to communicate complex analytics and insights to senior stakeholders in a clear, user-friendly manner Proven skill in translating technical requirements into actionable business insights and vice versa Experience with Agile/Scrum methodologies and relevant tools (e.g., Azure DevOps, Asana) in fast-paced, iterative environments Proficient in SQL, data querying, and basic data modeling concepts Planning, organizational, and project coordination abilities to ensure timely, high-quality results This is a 12 month full-time contract opportunity Given our national recruiting approach, ranges may vary for positions in other locations.

Powered by the latest technology, you’ll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development workplace, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life.

We recognize the systemic racism, colonialism and oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity. The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience.

Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review.

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📌 Data and Product Analyst (Contract) (Toronto)
🏢 PwC Canada
📍 Toronto