Associate Director
Data & Analytics
Posted on 3/3/2023
INACTIVE
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
R
SQL
Tableau
Natural Language Processing (NLP)
Python
Power BI
Requirements
- 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
Responsibilities
- 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