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Principal Operations Analyst Jobs in Toronto, ON

TransUnion

Principal, Fraud Analytics

Burlington, ON · On-site

Role Overview And Core Responsibilities As the Principal, Fraud Data & Analytics, you will lead the ... Establish KPIs and dashboards to monitor fraud trends, model performance, and operational ...

OpsGuru

Principal Data&AI Architect

Toronto, ON · On-site

... growth, operational efficiencies, or improved customer experiences. OpsGuru Principal Data&AI ... Python for Data Analytics * Relational databases design, tuning and migration * Experience with ...

Carbon60

Principal Data&AI Architect

Toronto, ON · Remote

CA$180K - CA$220K/yr

... growth, operational efficiencies, or improved customer experiences. OpsGuru Principal Data&AI ... Python for Data Analytics * Relational databases design, tuning and migration * Experience with ...

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Principal Operations Analyst information

What is a principal operations analyst?

Principal Operations Analysts are senior professionals responsible for analyzing, improving, and overseeing the operational processes of an organization. They use data-driven approaches to identify inefficiencies, recommend enhancements, and implement best practices across different departments. In addition to technical analysis, they often lead cross-functional teams, manage large-scale projects, and provide strategic guidance to leadership. Their expertise helps organizations optimize performance, reduce costs, and drive continuous improvement.

What are the key skills and qualifications needed to thrive as a principal operations analyst?

To thrive as a Principal Operations Analyst, you need strong analytical skills, expertise in operations management, and a relevant degree such as business, finance, or engineering. Mastery of data analytics tools (e.g., SQL, Tableau), ERP systems, and sometimes Six Sigma or PMP certification is typically required. Exceptional problem-solving, leadership, and communication skills help you effectively drive process improvements and influence stakeholders. These skills and qualifications are vital for optimizing business operations, ensuring efficiency, and supporting strategic decision-making.

What are some typical challenges faced by principal operations analysts, and how can they be addressed?

Principal Operations Analysts often encounter challenges such as managing complex, cross-functional projects and ensuring alignment among diverse stakeholders. They may also face issues with data integration from multiple sources and balancing strategic oversight with hands-on problem solving. To address these challenges, it's important to leverage strong communication skills, utilize advanced analytics tools, and foster collaborative relationships both within the operations team and across departments. Proactively seeking feedback and staying updated on industry best practices can also help Principal Operations Analysts navigate these complexities effectively.

What is the difference between Principal Operations Analyst vs Operations Analyst?

AspectPrincipal Operations AnalystOperations Analyst
Required CredentialsBachelor's degree, often advanced certifications in operations or analyticsBachelor's degree, relevant certifications optional
Work EnvironmentStrategic, cross-departmental projects, leadership involvementData analysis, process improvement, reporting tasks
Employer & Industry UsageLarge corporations, finance, tech, healthcareVaried industries, entry to mid-level roles

The Principal Operations Analyst typically holds more advanced certifications and works on strategic initiatives, often leading projects and collaborating across departments. Operations Analysts focus on data analysis and process improvements at an operational level. The principal role involves higher responsibility and strategic planning, while the analyst role emphasizes data-driven support tasks.

Are principal operations analysts in demand?

Principal operations analysts are in demand across various industries due to their expertise in process optimization, data analysis, and operational strategy. Organizations seek experienced analysts with skills in data tools and project management to improve efficiency and support decision-making, leading to steady job growth in this role.

Is a principal operations analyst entry-level?

A principal operations analyst is typically a senior-level role that requires several years of experience in operations, data analysis, or related fields. It usually involves advanced skills, leadership responsibilities, and expertise with analytical tools, and is not considered entry-level.

What does a principal operations analyst do?

A principal operations analyst is responsible for analyzing and improving business operations, identifying efficiencies, and developing strategies to optimize processes. They often use data analysis tools and collaborate with various departments to implement solutions that enhance productivity and performance.

What are popular job titles related to Principal Operations Analyst jobs in Toronto, ON?

For Principal Operations Analyst jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Principal Operations Analyst jobs in Toronto, ON look for?

The top searched job categories for Principal Operations Analyst jobs in Toronto, ON are:

Principal Operations Analyst jobs near you
Infographic showing various Principal Operations Analyst job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Principal, Fraud Analytics

TransUnion

Burlington, ON • On-site

Full-time

Re-posted 25 days ago

Key responsibilities

  • Lead the strategic development and execution of advanced analytics and data-driven solutions to combat fraud across the client portfolio.

  • Oversee the development of fraud detection models, rules engines, and anomaly detection systems, ensuring they are explainable, scalable, and optimized.

  • Define and execute the vision for fraud analytics, lead cross-functional initiatives, and represent fraud analytics capabilities to clients, partners, and industry forums.

TransUnion rating

9.3

Company rating: 9.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Job description

TransUnion's Job Applicant Privacy Notice

Team Overview

TransUnion, a global leader in risk and information solutions and one of Canada's major credit bureaus, is seeking a visionary and strategic Principal, Fraud Data & Analytics to lead the evolution of our fraud analytics capabilities. This role is responsible for shaping and executing the fraud data strategy, driving innovation in fraud detection and prevention, and positioning TransUnion as a market leader in fraud intelligence. You will support a high-performing team, influence enterprise-wide decision-making, and represent TransUnion's fraud analytics capabilities to clients, partners, and the broader industry. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Role Overview And Core Responsibilities

As the Principal, Fraud Data & Analytics, you will lead the strategic development and execution of advanced analytics and data-driven solutions to combat fraud across our client portfolio. You will play a pivotal role in shaping our fraud detection capabilities, driving innovation, and delivering measurable value to our partners. Your responsibilities will include:

Strategic Leadership: Define and execute the vision for fraud analytics, aligning with business goals and client needs. Lead cross-functional initiatives to enhance fraud detection, prevention, and mitigation strategies.

Innovation & R&D: Lead the development of advanced fraud detection models using AI/ML, behavioral analytics, and real-time data. Drive research into emerging fraud patterns and new analytical techniques.

Client-Facing Expertise: Serve as a trusted advisor to clients, translating complex fraud trends and data insights into actionable recommendations. Support pre-sales and post-sales engagements with analytical thought leadership.

Data Science & Modeling: Oversee the development of machine learning models, rules engines, and anomaly detection systems to identify and prevent fraudulent activity. Ensure models are explainable, scalable, and continuously optimized.

Product & Platform Collaboration: Partner with product, technology, and data science to embed analytics into our fraud solutions. Influence product roadmaps with data-driven insights and emerging fraud trends.

Performance Monitoring: Establish KPIs and dashboards to monitor fraud trends, model performance, and operational effectiveness. Lead root cause analyses and drive continuous improvement.

Industry Thought Leadership: Stay ahead of evolving fraud tactics, regulatory changes, and technology advancements. Represent the company at industry events, panels, and client forums.

Financial Stewardship: Manage budgets related to fraud analytics tools, data partnerships, and vendor relationships. Provide ROI analysis and business cases for strategic investments.

You will be instrumental in shaping the future of fraud prevention at TransUnion. You will drive innovation, elevate our market presence, and ensure our solutions remain at the forefront of the industry. Your leadership will directly influence product development, client success, and the protection of consumers and businesses across Canada and beyond.


Required Knowledge And Experiences

  • 10+ years of experience in Fraud analytics, data science, and/or financial crime risk, with at least 5 years in a leadership role.
  • 5 + Years of experience in Credit Risk, Collection and/or account management
  • Proven track record of delivering enterprise-scale fraud detection solutions and measurable business impact.
  • Deep expertise in fraud typologies (e.g., 1st, 2nd, 3rd party fraud, identity theft, money laundering), data science, and machine learning.
  • Strong technical proficiency in tools such as Python, R, SQL, and cloud-based data platforms.
  • Exceptional communication and stakeholder management skills, with the ability to influence at all levels, including executive leadership and external clients.
  • Experience presenting at industry conferences or contributing to thought leadership in fraud analytics or financial crime.
  • Advanced degree in a quantitative field such as statistics, mathematics, computer science, or engineering is preferred.

This job posting is for an existing vacancy. The opening is the result of a newly created position.

Accommodation is available, including for applicants with disabilities, in accordance with applicable laws.


TransUnion Overview:

At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver's seat of their professional development- while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that's why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.

Be a part of our Workforce for Good - you'll work with great people, pioneering products and cutting-edge technology.


TransUnion's Internal Job Title:

Principal, Product Management

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