Product Analyst

Role summary

McAfee is hiring a Product Analyst to turn product data into practical recommendations that improve customer experience and support product strategy. In this role, you will work across Product, UX, and Engineering to uncover user behavior patterns, measure feature impact, and help shape decisions for McAfee’s security products.

This role is based in Waterloo or Toronto, Canada, with a hybrid setup. Candidates must live within a commutable distance of either office. You should expect to work onsite as needed and otherwise operate from a home office.

What you will do

• Set up and run experiments such as A/B tests and quasi-experiments to measure how product changes affect engagement, retention, and customer satisfaction.
• Analyze customer journeys, onboarding flows, feature usage, and retention cohorts to identify opportunities for growth and product improvement.
• Define key metrics, including north-star measures, KPIs, and guardrails, and keep metric definitions aligned across teams and dashboards.
• Convert complex analytical findings into clear recommendations that support roadmap planning and prioritization.
• Work with data engineering and platform teams to strengthen telemetry, improve data models, and support dependable reporting.
• Use advanced methods such as segmentation, cohort analysis, regression, and causal inference to understand product performance and behavior drivers.
• Partner with Product Managers, Designers, and Engineers to weave analytics into the product development process.
• Support and coach other analysts on experiment design, metric development, and effective storytelling.
• Present insights through dashboards, presentations, and narratives that are easy for stakeholders and leaders to act on.

What we are looking for

• At least 5 years of experience in product analytics, advanced analytics, or data science with a strong product orientation.
• Hands-on experience with experimentation methods, including A/B testing and quasi-experimental approaches such as difference-in-differences and matching.
• Strong command of SQL and Python for analysis, along with solid statistical reasoning and hypothesis testing skills.
• Deep familiarity with product metrics such as funnel conversion, retention, and feature adoption.
• Experience using BI and visualization tools such as Power BI, Tableau, or Looker to communicate insights clearly.
• Knowledge of event-based telemetry data and how to define tracking for digital products.
• Ability to connect analytical insights to product strategy and improvements in customer experience.
• Strong communication, influence, and stakeholder management skills across cross-functional teams.
• A bachelor’s or master’s degree in a quantitative discipline such as Statistics, Computer Science, Engineering, Mathematics, or a related field is preferred.

About McAfee

McAfee develops consumer security solutions designed to protect people in an always-connected world. The company focuses on helping users stay secure with intuitive, integrated products that support families and communities at the right moment.

Benefits and workplace culture

McAfee emphasizes inclusion and encourages employees to show up as themselves. The company is Great Place to Work® Certified in 10 countries and promotes a supportive environment where people can grow and perform at their best.

Employees have access to social programs, flexible working hours, and family-friendly benefits.

• Bonus program
• Pension and retirement plans
• Medical, dental, and vision coverage
• Paid time off
• Paid parental leave
• Support for community involvement

Equal opportunity notice

McAfee maintains a discrimination-free workplace and does not discriminate on the basis of race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation, or any other protected status.

Compensation

The expected starting salary range for this role is CAD 100,772.50 to CAD 136,337.50. Final pay will depend on the candidate’s skills, experience, and location.