Associate Director
Data & Analytics
Posted on 3/3/2023
New York, NY, USA
Experience Level
Desired Skills
Data Analysis
Natural Language Processing (NLP)
Power BI
  • Bachelor's degree in technical field such as computer science, engineering, or mathematics
  • 6+ years of professional experience extracting insights from large, technical data sets, and communicating recommendations to varied audiences including high-level management/academics
  • Proven stakeholder management experience - including managing multiple cross-functional partners simultaneously
  • Demonstrated experience thinking strategically about complex issues, leading to thoughtful recommendations and action plans
  • Experience with visualizing data (Tableau, Power BI, Google Data Studio, Sprinklr)
  • 1+ years of practical experience querying SQL databases
  • 1+ years of practical experience using data analytic software such as Python or R
  • 1+ years of experience sourcing data from APIs
  • Basic understanding of advanced analytics techniques such as linear models, time series analysis/forecasting, classification
  • Basic understanding of machine learning techniques such as text-based analysis (NLP), supervised and unsupervised models such as KNN, K-means, random forests, GPT, etc
  • Effectively work within account and strategy teams to translate data into fast, smart creative or media opportunities
  • Be able to interpret business challenges and recommend appropriate analysis techniques
  • Be able to work through various types of analysis, bringing in the right resources and data for support
  • Builds complex measurement and KPI frameworks, customizing for each client and project
  • Build learning agendas, test and learn strategies
  • Have an expert understanding of attribution/conversion measurement
  • Proven ability to partner with creatives and media teams for smarter output
  • Be the analytics lead on a client account and identify new thinking and approaches based on business needs
  • Able to partner with digital and social strategists to develop segmentation approaches
  • Support technical implementation of data products in collaboration with Media & Strategy Teams
  • Analyze large, complex, and often unstructured datasets to generate actionable insights
  • Collaborate with cross-functional teams to help guide, interpret and visualize complex data sets
  • Ability to storytell with data and produce analytics insights from social listening & using APIs to aggregate data
  • Retrieve, collect, & clean raw research data and synthesize it into usable forms for strategy & media teams to utilize (raw data from social media channels and social listening tools, tying analysis and insights back to business results)
  • Manage multiple client business units and correctly prioritize and deprioritize work on scale & effectively communicating with larger teams

10,001+ employees