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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; however you may be required to be onsite at our Bangalore office on as-needed basis
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.
About you:
- Looking for 4 to 5 years of progressive data analysis experience, including data mining, transformation, and insight delivery.
- 4+ 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.
#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 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.
