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Predictive Analytics Jobs in Waterloo, ON (NOW HIRING)

Support advanced analytics and predictive modeling, helping leaders anticipate workforce trends, inform talent strategies, and improve organizational outcomes. * Support HR data governance and data ...

Support advanced analytics and predictive modeling, helping leaders anticipate workforce trends, inform talent strategies, and improve organizational outcomes. * Support HR data governance and data ...

Actuarial Specialist

Cambridge, ON · Hybrid

CA$97K - CA$147K/yr

The Actuarial Specialist is responsible for leading the development, enhancement, and implementation of reserving, capital modelling, financial reporting, and predictive analytics solutions as an ...

Actuarial Specialist

Cambridge, ON · Hybrid

CA$97K - CA$147K/yr

The Actuarial Specialist is responsible for leading the development, enhancement, and implementation of reserving, capital modelling, financial reporting, and predictive analytics solutions as an ...

Experience with predictive analytics, machine learning, or capacity management solutions. * Experience supporting large-scale financial services, insurance, or regulated environments. * Experience ...

Regional Sales Manager - Ontario

Milton, ON · On-site

CA$120K - CA$135K/yr

Use predictive analytics to improve forecasting accuracy and optimize sales productivity. Customer & Stakeholder Engagement * Build and maintain strong relationships with key regional customers ...

Experience 3+ years' experience in work related to data management, data analytics, statistical analyses and predictive modelling. Knowledge/Skills/Abilities Proven ability to write SQL queries and ...

Maintenance Supervisor

Milton, ON · On-site

CA$85K - CA$95K/yr

... predictive maintenance. * Experience with CMMS systems (Maximo preferred) and maintenance planning/scheduling. * Proven ability in root cause analysis and data-driven problem solving. * Solid ...

These systems provide advanced capabilities such as alarm management, data trending and analytics, energy reporting, and predictive analysis-empowering users with actionable insights and improved ...

PM frequency) and / or new policies • Collaborates with Maintenance RMS - RDM's for the identification of corrective, preventative and predictive actions based on the equipment efficiency analysis ...

New

This role involves supervising maintenance staff, managing preventive and predictive maintenance ... Strong background in failure analysis and diagnostic procedures * Ability to work independently to ...

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Showing results 1-20

Predictive Analytics information

See Waterloo, ON salary details

$25.6K

$111.1K

$174.4K

How much do predictive analytics jobs pay per year?

As of Sep 12, 2026, the average yearly pay for predictive analytics in Waterloo, ON is $111,148.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,912.00 and $136,124.00 per year, depending on experience, location, and employer.

What is predictive analytics?

A Predictive Analytics job involves using statistical techniques, machine learning models, and data analysis to forecast future trends and outcomes. Professionals in this field work with large datasets to identify patterns, assess risks, and provide data-driven recommendations. They commonly apply predictive models in industries such as finance, marketing, healthcare, and supply chain management. The role typically requires expertise in programming languages like Python or R, data visualization, and strong problem-solving skills.

What are the key skills and qualifications needed to thrive in predictive analytics?

To thrive in Predictive Analytics, you need strong skills in statistical analysis, data modeling, and a solid educational background in mathematics, statistics, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as certifications like SAS or Microsoft Certified Data Analyst, is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately forecasting trends, informing business decisions, and effectively collaborating with cross-functional teams.

What are some typical challenges faced in a predictive analytics position?

Professionals in Predictive Analytics often encounter challenges such as dealing with incomplete or inconsistent data, selecting the most appropriate modeling techniques, and ensuring models are both accurate and interpretable for business stakeholders. Additionally, balancing multiple projects with tight deadlines and aligning analytics solutions with strategic objectives can be demanding. However, these challenges provide excellent opportunities for creative problem-solving, collaboration with various departments, and continuous learning in a rapidly evolving field. Supportive team structures and access to up-to-date analytical tools typically help professionals overcome these obstacles. Embracing these challenges can significantly enhance your expertise and career trajectory in predictive analytics.

What degree do I need for predictive analytics?

Predictive analytics roles typically require at least a bachelor's degree in fields such as statistics, data science, computer science, or mathematics. Advanced positions may prefer or require a master's degree or higher, along with skills in programming languages like Python or R and experience with data analysis tools.

What is a predictive analytics job description?

A predictive analytics job involves analyzing data to identify patterns and develop models that forecast future outcomes. Professionals in this role use statistical techniques, machine learning tools, and programming languages like Python or R to support data-driven decision-making within organizations.

What jobs use predictive analytics?

Predictive analytics is used in a variety of roles such as data analyst, data scientist, business analyst, and risk analyst. These jobs involve analyzing data to forecast trends, improve decision-making, and optimize processes, often requiring skills in statistical modeling, machine learning, and tools like Python or R.

What job categories do people searching Predictive Analytics jobs in Waterloo, ON look for?

The top searched job categories for Predictive Analytics jobs in Waterloo, ON are:

Infographic showing various Predictive Analytics job openings in Waterloo, ON as of September 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $111,148 per year, or $53.4 per hour.

Senior Manager, HR Analytics

Waterloo, ON • On-site

Full-time

Posted 24 days ago


Job description

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.

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.

This position requires written and oral fluency in English. The successful candidate may be required to support or collaborate with English-speaking colleagues or stakeholders while at KPMG. The successful candidate may be required to create, interpret and/or apply policies, practices, laws and and/or regulations during the regular course of their employment

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.

KPMG NB 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.

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


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

Weembrace 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.

Qualifications:
  • 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.

This position requires written and oral fluency in English. The successful candidate may be required to support or collaborate with English-speaking colleagues or stakeholders while at KPMG. The successful candidate may be required to create, interpret and/or apply policies, practices, laws and and/or regulations during the regular course of their employment

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.

KPMG NB 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.

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

Education:UNAVAILABLEEmployment Type: FULL_TIME