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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
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
You will monitor key metrics (business measurement, testing, campaign, RCA) , set goals, forecast outcomes, and assess the effectiveness of
You will develop and test strategies to optimize
You will collaborate with business stakeholders, engineering, and cross-functional teams to inform and implement
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.
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.
Please click to viewand download theJob Applicantjob applicantswho are residents of the state of California.
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