Resident - Data Analytics

ABOUT VAYNERX

VaynerX is a family of companies building brands for the now. Founded by Chairman Gary Vaynerchuk in January 2017, the modern-day parent company is home to relevance-driving businesses including VaynerMedia, ChukMedia, Tamara Group, Gallery Media Group, Tingley Lane Trading, and VaynerSpeakers.

 

ABOUT VAYNERMEDIA 

VaynerMedia is a global integrated creative and media agency, built for today's consumers. As the Modern Agency of Record, it understands the nuances of today's attention landscape, empowering brands to win attention, drive relevance, and deliver business results. Founded in 2009, by Gary Vaynerchuk, the independently owned agency operates in 15 offices worldwide, including Amsterdam, Bangkok, Chicago, New Delhi, Kuala Lumpur, London, Los Angeles, Mexico City, Miami, New York, Tokyo, Toronto, Singapore, and Sydney. VaynerMedia is part of the VaynerX family of companies.

*** This position is a three-month temporary residency with the potential to go full-time immediately following. We are currently accepting applications for the next residency class with a Jan 2027 start date.

Responsibilities:

• Work closely with VaynerMedia Account teams to deliver regular reporting on social brand performance across Meta , Twitter, Pinterest, Instagram, the open web, and more to clients.
• Dive into social platform analytics, both native and third-party, to understand how our brands are performing and how they can improve.
• Creatively apply statistical methods to measure sales lift, audience resonance, and content performance.
• Work across VaynerMedia's portfolio of brands, identify trends and patterns with an eye for applications to overall social brand strategy.
• Collaborate with Media Planners on upcoming campaigns determining best platforms, target audience, and creative strategies to implement.
• Assist with client-facing campaign reporting: pacing reports, campaign build, ad-hoc analysis, high-touch optimizations, reporting.

Qualifications:

• Advanced skills in Excel including pivot tables, V-Look Ups, and macros.
• Comfort working with analytics, attribution and measurement systems a plus but not mandatory: Google Analytics, MOAT/IAS/Double Verify, Nielsen/Millward Brown.
• Experience working in the agency/start-up/social space, working in statistical and data analysis is a big plus.
• You are driven and hungry for success, and always want to learn more.
• You are a team player who enjoys collaboration.
• You have the ability to stay highly organized and efficient in a fast-paced, high-energy environment.
  

  WORK SCHEDULE:

  • This is a hybrid role with a required 3-4 days on-site from our NYC HY office.
  • You must be able to commit to a full-time work schedule, which is 40 hours per week during 9am-6pm ET business hours Monday-Friday.

 

Compensation:

USD $20 Hourly / USD $30 Hourly (Overtime)

 

To be eligible for consideration, all candidates must be able to start employment with the Company on the start date of the residency program. This position is currently designated as hybrid and is subject to the Company's workplace attendance and in-office work requirements, as in effect from time to time. The Company reserves the right to modify these requirements at any time.

All information submitted with this application and disclosed in the interview and screening processes must be truthful.  The Company reserves the right in its sole discretion, to disqualify a candidate from consideration, withdraw a conditional offer of employment, or terminate employment, if it discovers a candidate provided false, misleading, or materially incomplete information during the application process.

VaynerX is committed to fostering an inclusive workplace where everyone has the opportunity to succeed. We provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military status, veteran status, citizenship or immigration status (as permitted by applicable law), or any other characteristic protected by applicable federal, state, or local law.