Data Analyst

McAfee; Southwestern Ontario; Hybrid; CAD 86,000 - 116,000; Full time

Benefits offered by this job

Bonus Program

Pension and Retirement Plans

Medical, Dental, and Vision Coverage

Paid Time Off

Paid Parental Leave

Community involvement support

Job summary

McAfee in Waterloo, Canada, is seeking a Data Analyst with a product-owner mindset to bridge raw telemetry and strategic action. You will build scalable Databricks solutions, drive marketing performance insights, and partner with cross-functional teams in a hybrid role onsite as needed.

You will own end-to-end analytics projects, translate findings into actionable narratives for leadership, and contribute to data governance and trusted data across the organization.

Qualifications

• Bachelor's degree in a quantitative field with 2+ years of experience.
• Proficient in SQL and Python for data exploration and analysis.
• Understanding of data architecture, data modeling, and data integration best practices.
• Experience with data governance, metadata management, and documentation standards.

Responsibilities

• Move beyond descriptive reporting to diagnostic and predictive analysis; identify variances and root causes.
• Own end-to-end execution; define requirements and drive projects with minimal supervision.
• Architect scalable data pipelines in Databricks (PySpark/SQL) as a single source of truth.
• Translate complex data findings into executive narratives for leadership.
• Champion data governance, definitions, and documentation to ensure trusted numbers.

Skills

SQL

Python

Data exploration

Data transformation

Large datasets

Data governance

Education

Bachelor's degree in Statistics/Econometrics/CS

Tools

Databricks

PySpark

Job description

Role Summary

The McAfee Strategic Analytics team, part of the Analytics & Data Science organization, is expanding its capabilities to strengthen data-driven decision-making across a global direct-to-consumer business serving over 400 million customers. Our team is tasked with leading interesting analytics projects crossing business silos and partnering with technical experts to drive measurable outcomes. We are looking for a Data Analyst with a product-owner mindset who will play a pivotal role in bridging the gap between raw telemetry and strategic business action. You wont just pull data; you will own the narrative, building scalable solutions in Databricks and uncovering root causes that drive marketing performance and product health. You will get credit for your work and exposure to McAfee's highest levels of leadership. This is a hybrid role based in the Waterloo, Canada. You will be required to be onsite on an as-needed basis; when not working onsite, you will work remotely from your home location.

Position Details

About The Role

• Drive Strategic Analytics: Move beyond descriptive reporting to diagnostic and predictive analysis. You will proactively identify business variances (e.g., retention drops, funnel leakage), isolate root causes (mix shift vs. performance), and recommend actionable solutions to leadership.
• Own End-to-End Execution: Act with high agency to take projects from vague problem statements to deployed solutions. You will serve as the analytics lead for your domain, managing stakeholders, defining requirements, and driving progress with minimal supervision.
• Architect Scalable Solutions: Design and build robust data pipelines and sandboxes within Databricks (PySpark/SQL) that serve as the "Single Source of Truth" for the organization. You will optimize code for performance and reliability.
• Communicate with Impact: Serve as a "technical translator" who can synthesize complex data findings into clear, executive-level narratives. You will present insights in high-stakes forums to drive consensus and alignment.
• Foster Data Excellence: Champion best practices in data governance, definitions, documentation, and ensuring that the business trusts the numbers you produce.
• We are looking for someone curious about data, passionate about building analytical solutions, and eager to become a trusted data expert who empowers others through insight and clarity.

About You

• Bachelor's degree in Statistics, Econometrics, Computer Science, or a related quantitative discipline with 2+ years of experience.
• Demonstrated proficiency in SQL and Python, with experience performing data exploration, transformation, and analysis across large-scale relational and analytical datasets.
• Strong understanding of data architecture principles, including logical and physical data modeling, data structure design, and data integration best practices.
• Demonstrated ability to ensure data integrity and consistency across multiple data sources, and to translate business requirements into scalable, reliable, and well-structured data solutions.
• Solid background in statistical analysis and experimentation, including hypothesis testing methodologies (Frequentist, Bayesian, or multivariate A/B testing).
• Familiarity with data governance practices, metadata management, and documentation standards to support transparency, consistency, and operational excellence.
• Exceptional written and verbal communication skills, including the ability to convey complex technical concepts to diverse technical and non-technical audiences.

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

• 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 $85,580.00/Yr. - CAD $115,780.00/Yr. depending on experience and qualifications.