Programming in and further development of our proprietary data management system
Explore addition data sets and tools for inclusion in our DMPCreation of Attribution Models, Media Mix Models, Performance forecasting using time series and individual level data
Maintain data integrity of system including Hive clusters in Amazon Web Service
Aid in development of campaign planning items including: development of performance forecasts, defining key success metrics, setting a reporting schedule, and creating report templates
Work closely with Account Managers, Planning, and Ad Trafficking to ensure campaign-tracking mechanisms to learn according to the measurement plan are put into place and data collection is functioning correctly
Ensure that marketing campaigns are optimized against data findings, including identification of best-performing media sites, ad creative versions, and offers
Facilitate consistent measurement and data reporting processes across multiple campaigns
QUALIFICATIONS
Professional or academic background in programming
Advanced degree in statistics / advanced math / econometrics preferred
Experience manipulating messy data and merging large complicated data sets
Programming experience in Python (pandas preferred), Java, Linux command line
Experience building predictive and descriptive models
A strong ability to efficiently and accurately manage and maintain large data sets.
Strong Knowledge of database tools such as SQL/MySQL, OLAP, and MDX.
Knowledge of non-relationalbig data techniques: MapReduce, Hive / Hadoop, Hbase
Knowledge of statistics packages is also preferred: SPSS, Stata, R, or SAS
Understanding of SARIMA models and advanced analytics techniques
Basic understanding of digital media and/or web analytics tools preferred (DCM, GA, Omniture, Atlas, etc)
Basic understanding of offline media research and measurement tools preferred (Simmons, MRI, Kantar/AdViews, etc)
