Professional Advanced Analytics uses skills in the use of predictive modeling, multivariate analysis, clustering/segmentation analysis, data mining, test and control experimentation, trend analysis and other statistical or data analysis techniques to analyze large data files from both internal and external sources to explain or predict behavior and or solve a variety of business problems.
This role is crucial to the development of useful models for media spend and performance as noted above.
Professional Responsibilities Include:
Gathers, analyzes, and interprets a wide variety of data to make predictions on future outcomes or identify differences in relationships amount sources of information 45%
Crucially, these predictions span not only volume predictions for sales based on a host of variables and media spend levels, but also the efficiency of specific tactics and holistic efficiency given a host of tactics.
These predictions are essential to our understanding of performance marketing.
These predictions are also essential to harnessing our cost structure going forward.
Builds predictive models using data, tests the model on results outside of the sample size and verifies the model in the real world
– 30%
From a methodology perspective, this involves a constant test and learn approach to the efficiency of media as well as top down modeling that articulates the relative contribution of media to overall sales outcomes by channel.
Advises business partners with regards to patterns and relationships in data to recommend business direction or outcomes 25%
Specifically, this position will advise our AVP of marketing on the ideal deployment of media spend and the efficient outcome of performance marketing efforts.
This position will also advise the working teams within marketing at a functional level to deliver on volume commitments at optimal efficiency.
Qualifications:
Education: Preferred advanced college degree in Statistics, Mathematics and or Computer Science or Ph.D.
in related fields; Data Analytics, Machine Learning, or Business Analyst nanodegree; or related expertise.
Experience: Typically possesses strong understanding of internal business segment or stakeholders and strong presentation skills.
Typically requires 3-5 years related experience in advanced analytics, big data, relational database structures, research methods, sampling techniques, and system testing.
This is a remote position that can be located anywhere in the United States.
#LI-Remote
Job Posting: Nov 22, 2021, 4:16:43 PM
Other Locations: California-San Francisco
Schedule: Full-time
Job Level: Senior Associate/Second Level Manager