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Work From Home | McAfee Hiring News 2024 for Data Analyst with Marketing Analytics


 

McAfee Hiring News 2024 for its Data Analyst with Marketing Analytics, McAfee Drive is organizing Off Campus Drive for candidates in Any Batch. In order to apply, candidates should have degree bachelor's/master's Degree. If you are interested, Please apply as soon as possible.

Company Name: McAfee

Role: Data Analyst with Marketing Analytics

Location: Work From Home

Experience: Freshers

Qualification: Bachelors/Masters Degree.

Batch: Any Batch

Job Type: Work From Home

Salary: Best in Industry

McAfee Hiring News 2024

Job Description:

  • Work with Retention Marketing specialists to form creative solutions and design experiments using deep statistical knowledge to guide marketing insights.
  • Solve ad-hoc data questions from the Marketing Retention team.
  • Run data analysis to support experimentation, and convert analytical findings into customer insights that power marketing strategies and programs across end-to-end customer journeys.
  • Design, develop, and automate data tools and dashboards that allow monitoring metrics in a highly scalable self-service way.
  • Implement data hygiene, data standardization and data transformation that optimizes other data processes.
  • Partner with different team members to solve data problems, identify trends, and find opportunities.

Requirements:

  • Master’s Degree / Bachelor’s Degree in Statistics, Econometrics, Computer Science, or related quantitative fields preferred.
  • 2+ years of progressive experience in a data analyst role including data mining, data transformation, and delivering relevant insights.
  • 2+ years of experience in programming with SQL, Python, or R for exploring and transforming data within a relational database environment.
  • 2+ years of experience in data visualization tools such as Tableau, Power BI, R Shiny, D3.js, etc.
  • 1+ years of experience in 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 is a bonus.
  • Experience working in Databricks within a cloud environment (Azure, AWS) is a bonus.
  • Experience with MicroStrategy, Adobe Analytics or Google Analytics.

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