Responsibilities

• Leverage advanced analytic techniques to drive marketing performance (ex. site traffic, application volume, conversion rates, CPA, revenue, ROAS, LTV, etc.), isolate key KPI trends and performance pacing, optimize consumer online/offline experiences, predict consumer behaviors, maximize sales conversion, drive optimizations (across media investment and mix, target audiences, and creative messages) and forecast critical business outcomes
• Work with complex data structures; cleanse data and perform statistical analyses such as: marketing mix models (MMM), digital multi-touch attribution (MTA), TV attribution, media response analysis, time series analysis, predictive modeling, cluster analysis, user overlap analysis, path to conversion analysis, website analytics, lifetime value (LV) analysis, discrete choice/conjoint analysis, latent class & other clustering techniques (segmentations), multivariate & logistic regressions (ex. multivariate creative analysis), decision trees (e.g. CHAID/CART), factor & correspondence/MDS analysis, simulation & optimization, forecasting, etc.
• Measure and optimize full-funnel, performance marketing initiatives (across paid search and dislay) to ensure activities are effective, efficient, and deliver a high return on investment (ROI).
• Lead advanced analytics engagements from start-to-finish, including:
• Stakeholder interviews/fact-finding to uncover client issues
• Propose solution /analytical approach / methodology, with supporting rationale
• Manage project timeline throughout, escalating potential roadblocks when necessary
• Conduct modeling and analyses
• Generate insights
• Formulate strategic implications and recommendations

Requirements

• 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)

Preferred

• Experience working with marketing mix modeling (MMM), (digital; TV, radio, OOH, etc.) attribution and measurement companies: including Neustar, MMA (IPSOS), Analytic Partners, Nielsen (mROI; Visual IQ), (m)PHASIZE (Publicis Media), Hudson River Group (HRG), Marketing Evolution, Google Attribution 360, Abakus (SAP), Conversion Logic, TVSquared, iSpot, C3 Metrics, Data Plus Math, IRI, etc.
• Business Intelligence (BI) / Visualization tool experience (Datorama, Domo, Tableau, Microstrategy, Microsoft Power BI)
• Hands-on experiences working with aggregate, cookie, user, and event level datasets
• Experience working with ad/mar technologies like:
• Ad Servers (Google/Doubleclick, Innovid, Sizmek, Flashtalking, etc.)
• Programmatic Media & Exchanges (OpenRTB, Direct, PMP’s, DSPs, DMPs, SSPs, etc.)
• Marketing Clouds (Adobe, Salesforce, Oracle, SAP Hybris, IBM, etc.)
• Digital & Broadcast Analytics (Google, Adobe, Mixpanel, comScore, Quantcast, Nielsen, etc.)
• Web Analytics (Google Analytics, Adobe Analytics, etc.)
• Experience working with location-based intelligence companies: PlaceIQ, Placed, NinthDecimal, Cubeiq, Four Square, AdTruth, etc.

Benefits

• medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.