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Marketing Analytics Manager

San Bruno, CA

One of our direct client is urgently looking for Marketing Analytics Manager  for our Direct client requirement
 
TITLE: Marketing Analytics Manager
LOCATION: San Bruno, CA
DURATION: 6 Months
 
 As Manager, Samsclub.com, you will work with Sam’s Club leadership to build a technology, statistical and analytical plan that optimizes SamsClub.com digital marketing tactics and strategies. You will work with your marketing partners such as data engineering, digital marketing and other statistical analysts to create analytical, statistical and business intelligence solutions. You will provide marketing analytics reporting, analytics and modeling solutions to the marketing team. Experience in business intelligence, data engineering, data visualization, data analytics, AB Testing, cohort modeling skills are needed to be successful. The ideal candidate should be an independent solution oriented performer, skilled and experienced with using data to measure digital marketing analytics performance. They should be able to evangelize data visualizations, integrate data into the marketing planning process, build strong relationships with the marketing team and act as an advisor to the team.

Minimum Qualifications
Bachelor's degree and 7+ years in relevant marketing analytics, e-commerce App Analytics / site analytics / site experience or Master’s degree in a quantitative field like engineering/computer science / statistics / math / physics/ information technology and 5+ years in relevant e-commerce App Analytics / site analytics experience
Minimum 3 years of work experience in a quantitative or analytical role within ecommerce, consumer or marketing analytics.
Advanced SQL & experience with working on large multidimensional datasets. HQL and Spark SQL experience
Curiosity, humility and willingness to learn and work in teams

Additional Preferred Qualifications
Big Data Technologies - Map Reduce, Spark, Hadoop is a plus
Experience with R or Python for data visualization and data processing
Experience with data engineering - data architecture, creating ETL jobs, data pipelines is a plus
MBA or Masters in Analytics/Computer Science / Statistics
Ability to create data applications in Shiny, Flask is a strong plus.
Great articulator and communicator
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