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KPMG

Senior Manager, HR Analytics

Prince George
$0/yr
Posted 1 day ago
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Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

The HR Digital Enablement & Analytics Centre of Excellence supports the transformation of how we deliver services. The HR Analytics team, in collaboration with the BES Enterprise Analytics and HR Technology teams, is responsible for providing proactive, scalable, and actionable talent-related insights that enable better talent decisions and stronger business outcomes.

The HR Digital Enablement & Analytics Centre of Excellence is part of KPMG’s National HR structure and plays a strategic role in strengthening HR’s analytics, automation, data storytelling, and data-driven decision-making capabilities.

What you will do

  • Lead the execution of KPMG's HR Analytics strategy, translating workforce data into actionable insights that enable evidence-based decision making and measurable business outcomes.
  • Partner with HR leaders and business leaders as a trusted advisor, shaping key workforce questions, identifying opportunities, risks, and influencing strategic decisions through data and analytics.
  • Deliver compelling workforce insights and executive reporting, connecting HR KPIs, trends, and predictive analytics to business impact, ROI, and future workforce needs.
  • Oversee the development of HR dashboards, analytics solutions, and data visualizations, ensuring insights are relevant, accessible, and drive action across the organization.
  • Support advanced analytics and predictive modeling, helping leaders anticipate workforce trends, inform talent strategies, and improve organizational outcomes.
  • Support HR data governance and data management practices, ensuring the integrity, quality, privacy, and responsible use of workforce data across systems and reporting platforms.
  • Collaborate with HR Technology, Enterprise Analytics, ITS, and business stakeholders to strengthen data ecosystems, integrate new data sources, and scale analytics capabilities.
  • Contribute to the evolution of the HR Analytics operating model, including governance, prioritization, adoption, capability development, and continuous improvement.
  • Implement innovative, scalable solutions that improve efficiency, accelerate insight generation, and advance HR's analytics maturity.
  • Lead, coach, and develop a high-performing HR Analytics team, building capability in analytics, storytelling, stakeholder advisory, data governance, and continuous improvement.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

What you bring to the role

  • Bachelor's degree in Data Analytics, Statistics, Business Intelligence, Information Management, Mathematics, or a related field.
  • 7+ years of progressive experience in People Analytics, Workforce Analytics, Business Intelligence, or a related analytics discipline, including experience partnering with senior stakeholders and leading analytics initiatives.
  • PowerBI and SQL tool proficiency preferred.
  • Proven ability to translate complex workforce data into clear, actionable insights that influence strategic business decisions.
  • Strong expertise in analytics, data modeling, statistical analysis, and predictive insights, with the ability to solve complex business challenges.
  • Advanced proficiency in data visualization and storytelling, with experience creating impactful dashboards and executive-level presentations using tools such as Power BI.
  • Demonstrated experience working with large, complex datasets from multiple structured and unstructured sources, including strong SQL capabilities.
  • Exceptional stakeholder management and relationship-building skills, with the ability to influence and advise senior leaders, HR Leaders, and cross-functional teams.
  • Experience leading analytics teams, managing priorities, and coaching team members to deliver high-quality, business-focused outcomes.
  • Strong project management, problem-solving, and decision-making skills, with the ability to manage competing priorities in a fast-paced and evolving environment.
  • A mindset focused on continuous improvement, innovation, and operational excellence, with a passion for advancing data literacy and data-driven decision making.
  • Bilingualism (English/French) and experience working with HR systems and data are considered strong assets.

KPMG BC Region Pay Range Information

The expected base salary range for this position is $104,000-$156,000 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.

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $104,000-$156,000 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.

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Our Values, The KPMG Way

  • 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.

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Skills

People Analytics
Workforce Analytics
Data Visualization
Power BI
SQL
Data Modeling
Statistical Analysis
Predictive Modeling
Stakeholder Management
Data Governance
Data Storytelling
Strategic Planning
Project Management
Business Intelligence
Team Leadership
Data Literacy

Location

St. John's, Antigua, Antigua and Barbuda

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