Line of Service

Internal Firm Services

Industry/Sector

Not Applicable

Specialism

IFS - Information Technology (IT)

Management Level

Senior Associate

Job Description & Summary

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.

Meaningful work you’ll be part of 

As a Data and Product Analyst at the Senior Associate level, you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and operational efficiency. Responsibilities include but are not limited to: 

Build strong stakeholder relationships to gather requirements, collect feedback, and align priorities to create a strong product backlog with support from portfolio lead 

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 

Experiences and skills you’ll use to solve 

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 

Exceptional analytical, problem-solving, and critical thinking skills, with a focus on understanding root causes 

Planning, organizational, and project coordination abilities to ensure timely, high-quality results 

PwC Canada is committed to cultivating an inclusive, hybrid work environment. Exact expectations for your team can be discussed with your interviewer 

This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders. 

The salary range for this position is $69,600 - $116,100. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements.  We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package. 

 

Why you’ll love PwC 

We’re inspiring and empowering our people to change the world. 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 environment, 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. Learn more about our Application Process and Total Rewards Package at: https://jobs-ca.pwc.com/ca/en/life-at-pwc 

 

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations, Métis and Inuit Peoples. We recognize the systemic racism, colonialism and oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity. 

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

enero 20, 2026

We’re committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.

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. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling 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. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).

Nous tenons à répondre à vos besoins tout au long du processus de demande d’emploi, d’entrevue et d’embauche. Si vous avez besoin de mesures d’adaptation pour être parfaitement à l’aise, faites-le-nous savoir à l’étape de la demande d’emploi.

L’utilisation de l’intelligence artificielle (IA) dans le domaine du recrutement en est à ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. À certains stades de notre processus de recrutement, nous comptons sur l’IA pour améliorer votre expérience. Par exemple, pendant l’examen du curriculum vitæ ou l’élaboration d’une liste de recommandations personnalisées, un agent conversationnel pourrait vous demander des précisions ou fixer avec vous un rendez-vous pour l’entrevue. L’IA nous aide à mieux lutter contre les préjugés, car l’évaluation des candidats se fait de façon juste et équitable, sans que les informations d’identification comme le nom ou le sexe soient connues. Elle nous permet également de mieux repérer les bons candidats pour un poste et d’évaluer le lien entre leurs compétences, leur expérience et leurs chances de réussir chez PwC Canada. Bien que l’IA facilite certaines étapes de notre processus de recrutement, les décisions finales d’embauche sont toujours prises par des personnes. Pour en savoir plus sur l’utilisation et la protection de vos données personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).