
Technical Data Analyst - Remote
McAfee
Full time
Other
United States
Hiring from: United States
Job Title
Technical Data Analyst - Remote
Role Overview
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 in the United States. We will only consider candidates currently in the United States and are not offering relocation assistance at this time.
About The Role
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.
The starting pay range for this position is $81,120.00-$133,260.00. McAfee takes into consideration an individual’s skillset, experience and location in making final salary determinations. For further details, please discuss with the Talent Acquisition Partner.
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.
Technical Data Analyst - Remote
Role Overview
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 in the United States. We will only consider candidates currently in the United States and are not offering relocation assistance at this time.
About The Role
- Passion for working in a marketing team of a B2C SaaS product and for applying data analytics to improve business results.
- Professional experience in hypothesis testing, design of experiments, data mining, data visualization and data manipulation/transformation
- 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 cross-functional teams to inform and implement marketing optimization strategies and guide investment decisions.
- Looking for 3 to 5 years of progressive data analysis experience, including data mining, transformation, and insight delivery.
- 3+ years of experience programming in SQL, Python, or R for data exploration and transformation in relational databases, with proficiency in querying large-scale datasets.
- 3+ years in hypothesis design and testing (Frequentist, Bayesian, or multivariate A/B testing).
- 2+ years of experience with data visualization tools (e.g., Tableau, Power BI, R Shiny, D3.js).
- Familiarity with building data pipelines and automating analytics processes.
- Demonstrated ability to ensure data quality, integrate data across sources, and communicate complex data insights clearly to drive action.
- Experience with analytics tools like MicroStrategy, Adobe Analytics, or Google Analytics.
- Experience with Databricks, cloud platforms (Azure, AWS), and big data environments using PySpark is preferred.
- Knowledge of messaging, product, and email marketing strategies is a plus.
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
- 401k Retirement Plan
- Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage
- Paid Parental Leave
- Support for Community Involvement
- 14 Paid Company Holidays
- Unlimited Paid Time Off for Exempt Employees
- 96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year
The starting pay range for this position is $81,120.00-$133,260.00. McAfee takes into consideration an individual’s skillset, experience and location in making final salary determinations. For further details, please discuss with the Talent Acquisition Partner.
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.
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