We’re creating what’s next in online protection. As technologists, creatives, and people who thrive on looking forward, we make life online safe, so everyone can enjoy it with confidence—in all the ever-shifting forms it will take.

Just as life online is full of possibility, life at McAfee is as well. You’ll have the freedom to explore challenges, take smart risks, and reach your potential in one of the fastest-growing industries in the world—backed by a team that supports and inspires you. ​

Data Science & Analytics team is expanding within Consumer Marketing organization, with a laser focus on building data tools, supporting experimentation, develop predictive models and extract data-driven insights to achieve our goals for a direct-to-consumer marketing organization which supports 400 million customers worldwide. With a focus on experimentation & data automation, this is an opportunity to work with the best of both worlds, our creative businesspeople and data engineers affecting top line revenue and data products.

This is a remote position located in the United States. We will only consider candidates currently in the US and are not offering relocation assistance at this time. 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 customer insights. You will do so by discovering and transforming the data, performing ad-hoc data analysis, and developing data tools and dashboards for Retention team to allow them monitoring the essential metrics to identify pain points and improve business outcomes.
• You will analyze large and complex data sets to solve a variety of business challenges using advanced statistical and analytical techniques.
• You will leverage quantitative analysis, experimentation, data mining, and data visualization to drive business and marketing strategies.
• You will monitor key metrics (business measurement, testing, campaign, RCA) , set goals, forecast outcomes, and assess the effectiveness of marketing efforts to identify trends and opportunities.
• You will develop and test strategies to optimize marketing performance, providing insights and recommendations to shape roadmaps.
• You will collaborate with business stakeholders, engineering, and cross-functional teams to inform and implement marketing optimization strategies and guide investment decisions.

About You

• 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 as a bonus.
• Experience with MicroStrategy, Adobe Analytics or Google Analytics.
• You are curious about data, passionate about telling stories based on data and willing to be data experts of reference within the organization.
• Proficiency in large scale data query using SQL, scripting language using Python, statistical tool using R, and data visualization tools (e.g., Tableau, Power BI).
• Experience working in Databricks within a cloud environment (Azure, AWS).
• Experience in designing and analyzing A/B tests to measure marketing performance.
• Experience on Databricks/adobe analytics/Tableau/Posit/Github is a plus.
• Self-starter with solid interpersonal skills.
• 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.
• Knowledge of messaging, product, and email marketing strategies is a plus.