Web analytics platforms (Adobe Analytics, Google Analytics, etc.) Surveys (Lucid, Millward Brown, Nielsen, etc.) Competitive monitoring tools (Nielsen, comScore, Kantar, Pathmatics, Competitrac, Numerator, etc.) Qualifications: 7-10 years of work experience in a quantitative business environment Minimum 5 years of working with R or Python (Must have worked and created codes from scratch on several projects - not merely running someone else's code by changing some parameters) Minimum 4 years of SQL (Must have worked and created codes from scratch on several projects - not merely running someone else's code by changing some parameters) Minimum 5+ years of experience in strategic marketing/media analytics (online & offline; traditional, digital and cross-media) Minimum of 4+ years of agency experience (agency experience/ client service business required) or in a management-consulting firm Minimum 5+ years of team management (with direct reports) Additional information Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. Design of experiments to optimize media (budget, mix, audiences, messaging) Qualifications Technical Skills: Must Have: Hands-on experience working with various advanced statistical modeling (Bayesian Networks Inference, linear and non-linear regression, hierarchical mixed models/multi-level) and other forms of quantitative analysis (media response modeling, forecasting, time series analysis, multivariate statistical analysis, factor analysis, regression analysis, propensity, etc.) Knowledge of database structure and functionality Hands-on experience with data manipulation and statistical / analytical software packages (R, MATLAB, SPlus, Stata, SAS, SPSS, SQL) and coding / programming languages (SQL, Python, JAVA, C++) Experience with AWS, Hadoop, Spark, Redshift or other big data platforms Proficiency in Microsoft Office, particularly Excel (have the ability to sort, analyze, import, export, clean data, work with pivot tables, and know how to do V and H lookups, etc.) ETL Process (Must have done this repeatedly throughout the career and must be able to self-diagnose the data for error).