Marketing Mix & Attribution Modeling Manager

The role of Marketing Mix & Attribution Modeling Manager is a highly quantitative role with responsibilities including:
•Build, maintain and evolve market level mix models to estimate causal impacts of marketing activities on financial outcomes in the short and long term
•Build, maintain and evolve customer level attribution models to explain longitudinal behavioral shifts associated with exposure to a varying combination of touch point exposures
•Measure the long-term impacts on customer behavior
•Automate input ETL, iterative solution search and operationalization of models

This person will have significant interactions with other analytics teams in Marketing Insights & Analytics and is expected to provide analytical thought leadership and bring cutting edge statistical knowledge to solve complex marketing problems. Deep technical skills, ability to continuously learn from industry and academic work, and strong communication skills will be determining factors in selection.

A successful applicant will demonstrate:
•Ability to deliver critical insights and analysis
•Collaborative partnership and strong influencing skills
•Ability to extract insights to identify growth opportunities and effectively communicate outcomes and recommendations
•Lead effective data analysis that may suggest risk or opportunities
•Partnership/collaboration with marketing business partners and other enterprise teams

Required Qualifications

6+ years of experience in one or a combination of the following: reporting, analytics, or modeling
2+ years of management experience

Desired Qualifications

Excellent verbal, written, and interpersonal communication skills
Strong analytical skills with high attention to detail and accuracy

Other Desired Qualifications

5+ years of experience in regression based modeling
3+ hands-on experience programming marketing mix modeling solutions in SAS
Expertise on hierarchical Bayesian and MCMC approaches
Proven history of developing innovative, cutting-edge causal measurement capabilities across the range of marketing activities, including TV, print, radio, OOH, paid search, display, online video, owned media, sponsorships and promotions
Significant experience coding and maintaining stand along SAS-based applications
Deep knowledge of statistical areas such as ANOVA, Multiple Regression, Time-series Modeling, Principal Component Analyses, Decision Trees, Clustering, etc
Experience programming in R, SQL, Python and GAMS
Experience working in marketing/ customer analytics organizations
Demonstrated ability to play a leadership role in large, complex analytical projects
Strong sense of ownership, relentless curiosity, and self-driven approach to problem solving
Consistent pattern of digging into the raw respondent data
Exceptionally strong technical background
Experience/ exposure to data and analytics in Banking and Financial Services industry
qualified candidates should email resume to