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About the Role

A career in our Indirect Tax practice will provide you with the opportunity to help clients meet and manage their tax obligations across unique but ever-changing tax specialties. You’ll advise clients on their local and overseas tax affairs, acting as a strategic consultant related to business analysis, managing indirect taxes, dispute resolution, and global enterprise tax solutions. Our team helps clients optimize cash flow and reduce risk by managing challenges related to indirect taxes. You’ll support clients with all aspects of indirect taxation related to global, regional and domestic projects as well as comprehensive restructuring and reporting value added tax projects. This position ensures continuity and upholds our standards of excellence following the departure of a valued team member.

Responsibilities

Lead the extraction, transformation, and analysis of large client data sets (accounts payable and general ledger data) from ERP systems such as SAP, Oracle, and Microsoft Dynamics to support indirect tax recovery reviews.
Design and run data analytics routines and exception testing to identify unclaimed GST/HST, QST, provincial retail sales tax, and other indirect tax refund opportunities.
Work closely with indirect tax specialists to translate legislative rules into data logic, validate findings, quantify recoveries, and support refund claims.
Prepare clear dashboards, analyses, spreadsheets, and summary reports that communicate recovery findings to engagement teams and clients.
Engage client finance, tax, and IT stakeholders to scope data requests, understand system configurations and tax codes, and resolve data quality issues.
Manage the data workstream on engagements, including timelines, budgets, and deliverables, while upholding data security, confidentiality, and quality standards.
Develop and enhance repeatable tools, scripts, and automated workflows, including AI-enabled solutions, to improve the efficiency and scalability of recovery reviews.
Coach and mentor team members on data analytics techniques and indirect tax concepts, fostering a culture of excellence and continuous learning.
Demonstrate critical thinking and the ability to bring order to large, unstructured data sets and problems.
Use straightforward communication, in a structured way, when influencing and connecting with others; read situations and modify behavior to build quality relationships.

Requirements

A minimum of 4 years of progressive experience in data analytics, ideally within indirect tax, including experience leading workstreams and supervising team members.
Advanced proficiency with data analytics tools such as Fabric, Databricks, and Alteryx, as well as advanced Excel skills.
Proficiency with data visualization tools such as Power BI would be an asset.
Experience extracting and working with large transactional data sets from ERP systems (e.g., SAP, Oracle, Microsoft Dynamics).
Working knowledge of GST/HST, QST, and provincial sales taxes, and how indirect taxes are recorded in financial systems.
An interest in upskilling for a digital world and technology trends, an openness to learning new tools and adapting how you work.
Ability to work effectively in a fast-paced, team-oriented environment and to travel to client sites as required.
Excellent communication, interpersonal, and organizational skills, including the ability to explain technical data findings to non-technical audiences.
A strong commitment to professional and client service excellence.

Skills

Data Analytics
Indirect Tax
SAP
Oracle
Microsoft Dynamics
GST/HST
QST
Provincial Retail Sales Tax
Fabric
Databricks
Alteryx
Excel
Power BI
AI-enabled solutions
Accepting Feedback
Active Listening
AI Fluency
AI-Human Collaboration
Analytical Thinking
Business Tax
Coaching and Feedback
Communication
Corporate Tax Planning
Creativity
Digital Tooling
Embracing Change
Emotional Regulation
Empathy
Inclusion
Indirect Tax Controversies
Input Value Added Tax (VAT)
Intellectual Curiosity
International Taxation

Location

PwC locations in major city centres

Work Type

Full-time

Experience Level

Manager
4 years of progressive experience

Education Level

A completed accounting designation (CPA) or a degree in data analytics, computer science, finance or a related field would be an asset.

Salary/Compensations

$87,700 - $137,700

Benefits

Competitive compensation package
Inclusive benefits
Flexibility programs

About the Company

We’re inspiring and empowering our people to change the world. Powered by the latest technology, you’ll be a part of amazing teams helping public and private clients build trust and deliver sustained outcomes. This purpose-led 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 us at http://pwc.com/ca/whypwc.

Equal Opportunity

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.
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).