Consultant/ Senior Consultant, Data Analytics - Deal Advisory

At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

Our Deal Advisory team includes the following service lines: Transaction Services, Valuations, Corporate Finance, Restructuring & Turnaround, and Infrastructure Advisory.

Our clients are typically private equity funds, pension funds, large public companies, as well as private corporations. Our people are motivated self-starters with expertise in finance, valuation, tax, accounting and financial reporting. Our network is global.

Are you a talented individual with a proven track record on executing project deliverables.  

Our Deal Advisory Analytics team in Toronto is looking for a professional like you with the skills and drive to make a real difference.

KPMG Deal Advisory Analytics works at the intersection of transactions, data, and commercial decision-making.

We partner with private equity funds, pension funds, and corporate acquirers to assess performance, validate deal theses, and identify value creation opportunities — often under tight timelines and high-stakes conditions.

This is not a traditional reporting or back-office analytics role.
We operate in live transaction environments, supporting executives and investors with decision-grade insights. 

• Work directly with Deal Advisory partners, engagement teams, and client executives in active transaction environments
• Translate complex datasets into clear commercial insights that influence investment decisions
• Analyze revenue quality, margin drivers, customer behavior, pricing dynamics, and operational performance
• Support buy-side and sell-side due diligence through advanced analytics
• Build executive-ready outputs including board-level presentations, financial analysis schedules, and data-driven deal insights
• Contribute to value creation initiatives for portfolio companies post-acquisition
• Operate in fast-paced, high-intensity deal timelines with multiple concurrent engagements

You will be expected to think commercially, not just technically — connecting data patterns to business risk, valuation impact, and EBITDA drivers.

At times, business needs arise and employees are required and agree to work beyond their normal work day or work week to fulfill the accountabilities required for their job. Likewise, people need extra time to devote to personal matters, and our approach to flexibility provides for this. 

We are seeking individuals who combine analytical depth with strong business judgment and professional services presence.

Experience

• 2–5 years of experience in professional services, consulting, transaction services, strategy, analytics advisory, or corporate finance
• Exposure to financial statements, performance analysis, or transaction environments strongly preferred
• Experience working in client-facing roles with executive stakeholders is highly valued

Technical & Analytical Capability

• Strong SQL and data manipulation capability
• Experience with Power BI (including data modeling, DAX, transformation, and dashboard design)
• Experience working with large, messy, multi-source datasets
• Ability to independently structure analytical problems and form hypotheses

Commercial Acumen

• Strong understanding of financial performance metrics (revenue, margin, working capital, cash flow)
• Ability to connect data outputs to commercial implications
• Comfort presenting findings to senior stakeholders

Profile Characteristics

• Thrives in ambiguity and fast-paced environments
• Structured thinker with strong executive communication skills
• Able to move between technical detail and high-level strategic messaging
• Self-starter with high performance standards

Education

• Undergraduate or graduate degree in Business, Analytics, Mathematics, Engineering, Statistics, Computer Science, or related field
• Candidates from programs emphasizing both analytics and business strategy (e.g., analytics-focused master’s programs with commercial application) are strongly encouraged to apply

As part of the interview process, candidates may be asked to complete a short case-based analytical exercise focused on commercial interpretation of data.

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $69000  to $107500 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best 

For more information about KPMG in Canada’s Benefits and well-being, click here.  I-ET1 #Hybrid

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Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

We embrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.