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.
#LI-Remote
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.
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.
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.