Product Analyst

Job summary

The Product Analyst will design and execute experiments to drive data-informed product decisions and improve customer experience. They will also collaborate with cross-functional teams to define metrics, analyze user behavior, and provide actionable insights for product roadmaps.

Job details

Role Summary As a Product Analyst at McAfee, you will drive data-informed product decisions by delivering actionable insights, designing robust experiments, and deeply understanding user behavior. You will partner closely with Product, UX, and Engineering to shape product strategy and improve customer experience across McAfee’s security products. This is a Hybrid Position located in either Waterloo or Toronto, Canada. We are only considering candidates within a commutable distance to either location. You will be required to be onsite on an as-needed basis; when not working onsite, you will work from your home office. Position Details Key Responsibilities Lead experimentation strategy: Design, execute, and analyze A/B tests and quasi-experiments to evaluate product and feature impact on engagement, retention, and customer satisfaction. Drive product insights: Conduct deep-dive analyses on user journeys, onboarding funnels, feature adoption, and retention cohorts to identify growth and optimization opportunities. Define and operationalize metrics: Establish north-star metrics, KPIs, and guardrails; ensure consistent definitions across teams and dashboards. Enable product decision-making: Translate complex analyses into clear, actionable recommendations for product roadmaps and prioritization. Improve data foundations: Partner with data engineering and platform teams to ensure high-quality telemetry, scalable data models, and reliable reporting layers. Leverage advanced analytics: Apply statistical techniques (segmentation, cohort analysis, regression, causal inference) to uncover drivers of user behavior and product performance. Collaborate cross-functionally: Work closely with Product Managers, Designers, and Engineers to embed analytics into the product development lifecycle. Mentor and elevate analytics practices: Guide analysts on experimentation design, metric definition, and storytelling best practices. Communicate effectively: Deliver clear, compelling insights to stakeholders and leadership through dashboards, presentations, and narratives. About You 5–8 years of experience in product analytics, advanced analytics, or data science with strong product focus. Strong experimentation expertise: Hands-on experience designing and interpreting A/B tests and quasi-experimental methods (e.g., difference-in-differences, matching). Advanced analytical skills: Proficient in SQL and Python for data analysis; strong foundation in statistics and hypothesis testing. Product analytics experience: Deep understanding of user behavior analysis, funnel optimization, retention, and feature adoption metrics. Data visualization & storytelling: Experience with BI tools such as Power BI, Tableau, or Looker to communicate insights effectively. Telemetry & data modeling knowledge: Experience working with event-based data and defining tracking for digital products. Business and product acumen: Ability to connect data insights into product strategy and customer experience improvements. Strong communication and stakeholder management skills, with the ability to influence decisions across teams. Bachelor’s or master’s degree in a quantitative field a plus (Statistics, Computer Science, Engineering, Mathematics, or related). #LI-Hybrid Company Overview McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment. Company Benefits and Perks We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We’re proud to be Great Place to Work® Certified in 10 countries, a reflection of the supportive, empowering environment we’ve built where people feel seen, valued, and energized to reach their full potential and thrive. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Bonus Program Pension and Retirement Plans Medical, Dental, and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. Pay Range The anticipated compensation for this position is CAD $100,772.50/Yr. - CAD $136,337.50/Yr. depending on experience and qualifications. Job Applicant Privacy Notice Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.

What you’ll do

The Product Analyst will design and execute experiments to drive data-informed product decisions and improve customer experience. They will also collaborate with cross-functional teams to define metrics, analyze user behavior, and provide actionable insights for product roadmaps.

Requirements

Candidates must have 5–8 years of experience in product analytics or data science with proficiency in SQL, Python, and statistical methods. A bachelor's or master's degree in a quantitative field is considered a plus.

Benefits

• Bonus Program
• Pension and Retirement Plans
• Medical Coverage
• Dental Coverage
• Vision Coverage
• Paid Time Off
• Paid Parental Leave
• Support for Community Involvement

Listed skills

• Data visualization · Preferred
• Power BI · Preferred
• SQL · Preferred
• Tableau · Preferred
• Stakeholder Management · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Product Analytics
• A/B Testing
• SQL
• Python
• Statistics
• Hypothesis Testing
• Data Visualization
• Power BI
• Tableau
• Looker
• Data Modeling
• Telemetry
• Cohort Analysis
• Regression
• Causal Inference
• Stakeholder Management
• Customer Experience Improvement
• Influencing Skills
• Product Roadmaps
• Python For Data Analysis
• Time Off Management
• Advanced Analytics
• Personal Security
• User Research
• Data Analysis
• Behavioral Analytics
• Business Intelligence
• Dashboard
• Decision Making
• Customer Service
• Cohort Studies
• Communication
• Computer Science
• Data Engineering
• Sales Funnel
• Leadership
• Scalability
• Statistical Hypothesis Testing
• Key Performance Indicators (KPIs)
• Mathematics
• New Product Development
• Presentations
• SQL (Programming Language)
• Tableau (Business Intelligence Software)
• User Experience (UX)
• Prioritization
• Data Science
• Product Strategy
• Looker Analytics

Job areas

• Data & Analytics
• Technology
• Software
• Security & Safety
• Product Analyst
• Analytics Product Manager
• Research and Development Managers
• Marketing Managers

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