About this role
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.