Role Overview:
McAfee’s Data Science & Analytics team is growing with a laser focus on building data tools, supporting experimentation, developing predictive models and extracting data-driven insights to better support our 400 million customers worldwide and accelerate business growth. Within an organization focused on experimentation, data automation, and transformative business insights this is an opportunity to make significant contributions and grow skills in multiple areas.
This is a hybrid position located in either Waterloo or Toronto, Canada. We will only consider candidates currently in Canada and do not offer relocation. Travel may be required periodically for key meetings.
About the Role
-
As a technical Data Analyst, using your analytical and programming background together with your problem-solving skills, you will help extract the secrets of our data, translating data findings into business insights. Working on the Strategic Data Analysis team you will support highly visible and challenging projects cutting across the business by discovering and transforming data and performing ad-hoc analyses that provide insights and drive decisions. You are curious about data, passionate about telling stories based on data, and interested in learning deeply about our business.
-
Analyze large and complex data sets to solve a variety of business challenges using advanced statistical and analytical techniques.
-
Leverage quantitative analysis, experimentation, data mining, and data visualization to drive business and marketing strategies.
-
Monitor key metrics (business measurement, testing, campaign, RCA), set goals, forecast outcomes, and assess the effectiveness of marketing efforts to identify trends and opportunities.
-
Develop and test strategies to optimize marketing performance, providing insights and recommendations to shape roadmaps.
-
Collaborate with business stakeholders, engineering, and other cross-functional teams to dissect complex issues, communicate powerfully, and recommend actions.
About You
-
4+ years of experience in data analytics.
-
3+ years of experience in programming with SQL, Python or R for exploring and transforming data within a relational database environment.
-
2+ years of experience on data visualization tools such as Tableau, Power BI, R Shiny, D3.js, etc.
-
2+ years of experience on Statistical Testing (Frequentist A/B testing, Bayesian A/B testing or Multivariate testing) and design of experiments.
-
Experience in handling large datasets in big data environments using PySpark is a bonus.
-
Experience working in Databricks within a cloud / Adobe Analytics / POSIT/ Github is a plus.
-
Experience with MicroStrategy, Adobe Analytics or Google Analytics.
-
Self-starter with solid interpersonal skills.
-
Scrappy and relentless in overcoming barriers and delivering quality work.
-
Ensure data quality and integration across multiple sources.
-
Communicate complex data clearly, turning insights into action.
-
Familiarity with building data pipelines and automating analytics processes.
#LI-Remote
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 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.
