Data Manager

Candidates are expected to demonstrate the following skills/experience: hands-on skills in quantitative data analysis, problem solving, analytical modeling, the ability to develop/analyze business cases, research skills, excellent oral and written communication skills, client focus and the ability to support and enable teamwork, self-motivated and able to operate independently with limited guidance and direction.  Key Accountabilities:    Develop econometric modeling and simulations/forecasts applied to marketing mix optimization, campaign segmentation, pricing optimization and customer lifetime value analyses to support client engagements.   Assist clients in retrieving, compiling, and formatting large volumes of data.   Support senior modelers with methodology development and testing.   Analyze data to generate graphics for use in client presentations.   Utilize syndicated research tools to retrieve various types of data (macroeconomic, marketing, business, etc.).   Write and test macros that help automate data/modeling process using SAS, Excel VBA, SQL   Build forecasts and budgets based on historical data as part of the planning process   Act as primary day-to-day contact on insights and analytics to digital and traditional media managers and clients   Manage project timelines and deliverable schedules and share concerns about deliverables, timelines, and issues with project managers and directors.   Manage and mentor analysts on the projects to ensure excellence and professional development Requirements:  Bachelor’s degree required. A Master’s degree in Statistics, Economics, or Applied Math is preferred.   3-5 years related work experience   Strong analytical skills; ability to analyze raw data, draw conclusions, and develop actionable recommendations using statistical and econometric modeling techniques.   Understanding of industry research sources, such as Nielsen/IRI sales data or TV/online advertising data   Fluency in SAS, SPSS, R or any other advanced analytics software package.   Experience with database tools (SQL, Oracle, Access).   Comprehensive understanding of metrics: Media (e.g. buying models, CPV,VCR, GRP), Measurement analytics, Quantitative business measures (LTV, NPV,ROI, Churn, etc.), Statistics (Correlations, sample sizing, etc.)   Knowledge of visual techniques for data analysis and presentation   Experience in managing and mentoring team members All your information will be kept confidential according to EEO guidelines.