Group Director, Analytics

New York, United States Full-time

There are three reasons why the analytically hungry come to Brooklyn’s Big Spaceship: to break free from thinking-by-department, to get closer to making, and to work with clients striving to recalibrate their businesses.

We believe how you do makes what you do. That’s why we sit in teams, not departments. That’s why we have values, not rules. That’s why we discuss our personal aspirations for projects before they start. If we can get it right on the inside – for our clients and our own company - then we believe our focus on solving business problems by solving human problems will thrive. We’re currently looking for a curious, down-to-earth, jargon-free Group Analytics Director to join our Marketing Intelligence discipline.


Core Responsibilities:

Your day-to-day

  • Work closely with internal teams to unearth solid audience insights to fuel strategy, creative ideas, tactical plans and product decisions

  • Partner with senior members of other disciplines and clients to help craft the role, reality and value of data their lives

  • Work with the leadership team on shaping the disciplines direction, and help create a vision for productizing data driven processes and services

  • Lead new business pitches and interagency meetings from a marketing intelligence and analytics perspective

  • Define digital measurement plans, campaign goals and KPI’s with a focus on conversion and ROI

  • Collaborate closely with data scientists in developing innovative approaches that lead to unexpected insights from unstructured data

  • Build a strong relationship with the client and lead direct communication for all analytics and measurement needs. Demonstrate a strong focus on client satisfaction and delivery

Your Discipline/Team

  • Lead a team of 7+ people

  • Take pride in contributing to create a focused, highly impactful intelligence discipline

  • Grow the discipline’s capabilities through thought leadership. Have a strong POV on approach around strategic and creative use of data

  • Plan and implement skills/career development initiatives with senior discipline members

  • Commit to training and sharing expertise in discipline meetings to help maintain our culture of continuous learning from one another

  • Manage and mentor the junior team- teach, delegate and empower them to succeed


  • Represent the discipline in internal meetings on all things data and analytics

  • Facilitate information sharing and comprehension between leadership and the discipline

  • Help account and production teams with resource planning, allocations and scoping for the analytics discipline

  • Ensure discipline members are clear in what they need in terms of time, resources and allocation to succeed

Experience Qualifications:

  • 10+ years experience in data strategy, digital analytics, marketing mix analytics. Agency experience is a plus

  • Experience with mining and modeling large digital data sets and applying advanced analytics methods for consumer clustering and segmentation, developing and leveraging consumer insights and consumer intent

  • Proven experience and in depth knowledge on analytics platforms across website, social conversation, social media and and digital media:

    • Social analytics platforms, specifically writing and editing Boolean queries in platforms like Crimson Hexagon, Brandwatch, Sysomos etc.

    • Web analytics and SEO tools/platforms (Adobe Analytics, Google Tag Manager, Moz, SEMRush, Google analytics and DoubleClick)

    • Market Research like MRI, Toluna, Nielsen consumer surveys etc.  

    • Advanced Excel skills is a must

    • Experience and/or knowledge of: SPSS, SAS, SQL is a plus

  • Ability to communicate complex information in simple digestible formats

  • Personable and works well with cross functional and multidisciplinary teams – junior to senior, creative to media, design to strategy, etc.

  • Comfortable working independently in cross-functional teams in high pressure situations

  • Experience in data science or working closely with data scientists is a plus