As the VP Analytics, Retail and Marketplace, you will be the industry-leading voice of analytics for the agency, setting the vision and strategy to ensure our analytics offerings are innovative and address client business challenges.
You will lead a cross-disciplinary team specialized in turning data into relevant insight to optimize client outcomes, holding all teams accountable for delivering and producing an integrated work product.
You are also responsible for the evolution of the practice by developing best-in-class services and capabilities.
Working with the SVP, the clients and the account teams on each client within the portfolio, you will craft industry-leading integrated solutions to address clients' unique business challenges, leveraging your business mindset to convert into strategic opportunities for our clients.
You will help to identify opportunities to identify best practices and then drive the implementation of these solutions across clients within the Retail and Marketplace vertical.
You will report to the SVP, Analytics Solutions.

Requirements

12+ years of relevant Analytics experience
5+ years in the Retail and Marketplace space
Bachelor's degree in data analytics, data science, statistics or other quantitative disciplines
Master's degree in data analytics, data science, statistics or other quantitative disciplines (preferred)
Senior-most contact for analytics at client-side or marketing/advertising agencies; experience managing analytics teams and delivering for a portfolio of clients, expertise in presenting to clients
Experience mentoring a staff from entry-level to senior roles
Experience delivering clear, strategic presentations to C-level clients and agency executives
Experience guiding strategic thinking and leadership for data analytics, insights and innovation and evolving clients' measurement capabilities across various stages of data and business maturity
Familiarity with statistical concepts, machine learning and AI / Gen AI, with hands-on expertise in two or more of the following areas: Customer Analytics, Advanced Measurement and Attribution, ML Driven Personalization, Market Research, Media Analytics, Reporting & BI
Working knowledge of relational databases, machine learning/AI techniques and programming languages (e.g., SQL, R, and Python) and clean room solutions and technologies
Experience with data sourcing, evaluation, onboarding and integration
Familiarity with setting up and measuring a Retail Marketplace
Understanding of Ad/MarTech landscape across all digital and non-digital channels and their advantages/limitations.

Benefits

Medical, vision, and dental insurance
Life insurance
Short-term and long-term disability insurance
401k
Flexible paid time off
At least 15 paid holidays per year
Paid sick and safe leave
Paid parental leave

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data analyticsdata sciencestatisticscustomer analyticsadvanced measurementattributionmachine learningAISQLPython

Soft skills

leadershipstrategic thinkingpresentation skillsmentoringclient managementcross-disciplinary collaborationaccountabilityinnovationcommunicationproblem-solving