Responsibilities

• Manage and mentor a growing and diverse team
• Create and elevate current analytics methodology, build a replicable statistical framework to rollout across multiple clients
• Develop, train, productionalize new models to be used to media optimization and driving client business
• Working closely with clients and account teams to assess business and marketing challenges, discuss the possible solutions, and execute a plan.
• Oversee team modeling outputs and inputs, working with Business Intelligence and Data Engineering team to assure data processes are automated and efficient
• Build marketing mix modeling, diminishing returns analysis and campaign test design to assess and inform client return on media investment
• Spearhead new analytical initiatives to drive actionable insights for our clients
• Role will report directly to the VP, Advanced Analytics with a dotted-line reporting to that client vertical.

Requirements

• Master’s degree in a mathematical or quantitative discipline (Statistics, Economics, Predictive Analytics, etc.).
• 5+ years or more experience in data & analytical functions in an agency/ consulting environment with at least three years of team management experience
• Proficiency with statistical analysis tools such as Python and R, as well as database ( SQL )
• Experience with DTC and data heavy clients is a must
• Ability to develop proprietary statistical models, design A/B tests, execute Marketing Mix Models and multi-touch attribution algorithms
• Ability to both get the hands dirty with data and communicate with clients on their business questions
• Familiarity of changing landscape of ad tech within Ad Servers (DCM), DSPs (TTD, DV360), SEM
• Managing 2-3 junior analytics’ members

Preferred

• 4 - 6 years of experience required in the Advanced Analytics realm, preferably in media or an adjacent field.
• 2-4 years of experience managing teams required.
• Advanced degree required or comparable knowledge of statistics and mathematics
• High-end marketing response modeling expertise, models which determine the Cost per Acquisition or Return on Investment of marketing expenditures.
• Proven effectiveness in managing business relationships.
• Experience in fast-paced environment, possessing the ability to work on multiple projects simultaneously.
• Deep expertise in advertising platforms and/or the ad tech industry preferred.
• Media Mixed Modeling necessary
• Programming/scripting experience a must (R, Python), must have expertise in data wrangling as well as regression and machine learning functions.
• General Business Intelligence software expertise (SQL).

Benefits

• competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.