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About the role
Specific responsibilities will include: - Enable Marketers to make better informed decisions through elegant, accurate, and timely data visualizations and complex analyses. - Build and maintain dashboards to enable close monitoring of paid marketing programs, new customer performance, and identify opportunities to optimize a multimillion-dollar marketing budget. - Build and maintain statistical and datamining models that predict customer lifetime value (LTV) and purchase behavior. - Conduct statistical analysis and test business hypotheses to help institute a rigorous test-and-learn methodology to achieve desired results. - Develop consistent approaches and methodologies to automate repeatable tasks and drive process efficiencies. - Present statistical and business analytics insights from quantitative analysis and models to a non-technical audience. : - Masters degree in in Business Analytics, Statistics, or a closely related analytical field of study. - 2 years of data analytics experience in consumer, retail, marketing, ad-tech or another quantitative field. Alternate requirements: - Bachelors degree in Business Analytics, Statistics, or a closely related analytical field of study. - 5 years of data analytics experience in consumer, retail, marketing, ad-tech or another quantitative field. - required_(not preferred)_: - Data analytics experience in consumer, retail, marketing, ad-tech or another quantitative field must include: - Experience in database querying languages including SQL; - Experience in data mining and statistical packages including R/Python or similar; and - Experience in Tableau or a similar data visualization tool. - Background working with technology teams including engineering, business intelligence, data warehousing and data science to implement data-analytics solutions. - Robust background in databases and data warehousing techniques with the ability to create and optimize complex data queries. - Demonstrated track record multitasking over .