VP, Analytics & Data Strategy

VaynerX

New York (NY)

Hybrid

USD 215,000 - 240,000

Full time

45 hours ago
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Benefits offered by this job

Employer 401k with match
Health, Dental, and Vision coverage
Unlimited PTO
Parental/Carer Leave
Wellness benefits

Job summary

VaynerMedia, a global creative and media agency, seeks a seasoned analytics leader to guide data-driven decision making for Fortune 500 clients in a hybrid New York setup. You will oversee analytics deliverables, lead the analytics team, drive scoping for new and existing clients, and act as the primary client contact to translate insights into practical marketing strategies that improve outcomes.

The role demands expertise in modeling, forecasting, data management, and advanced Excel and Python

Qualifications

  • 10+ years of experience in digital analytics.
  • Expertise in Modeling, Forecasting, & Data Management.
  • Advanced degree in Mathematics, Statistics, Marketing, Engineering, or Computer Science.
  • Strong leadership and ability to manage multiple projects.
  • Excellent written and verbal communication skills.

Responsibilities

  • Oversee analytics deliverables and lead the analytics team.
  • Drive scoping for new and existing clients to ensure profitability.
  • Lead client contact for analytics and BI, translating insights into actions.
  • Identify opportunities to expand scope across the analytics practice.
  • Analyze complex systems to optimize marketing investments and outcomes.
  • Develop digital ecosystem measurement and insights.

Skills

10+ years analytics
Modeling & Forecasting
Data Management
Excel
Python
Leadership
Communication

Education

Advanced degree in Mathematics/Statistics/Marketing/Engineering/CS

Tools

Excel
Python

Job description

VaynerMedia, a global creative and media agency, seeks a seasoned analytics leader to guide data-driven decision making for Fortune 500 clients in a hybrid New York setup. You will oversee analytics deliverables, lead the analytics team, drive scoping for new and existing clients, and act as the primary client contact to translate insights into practical marketing strategies that improve outcomes.

The role demands expertise in modeling, forecasting, data management, and advanced Excel and Python

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