Job Description
The Lead Analyst will be an integral part of our US-based attribution modeling capabilities. This role will be responsible for leveraging data science techniques to examine marketing activities and to estimate their business impact to our clients. These projects will include, but are not limited to, Media Mix Optimization or Marketing Mix Modeling, Analysis of Covariance (test & control), Cluster Analysis, and Attribution Modeling of disaggregate event-stream data. This role will be hands-on keyboard helping to build and revise code and drive innovation.
Key Responsibilities
- You will coordinate and manage data collection with clients
- You will develop reports and processes to manage data quality control
- Drive innovation in analytics and deliver on client expectations
- You will implement and develop attribution models
- You will interpret and visualize model estimates and diagnostics
- Drive innovation and continuous improvement
Qualifications
- Bachelor's degree in at least one of these fields preferred: statistics, economics, applied mathematics, optimization, computer science, physics; advanced degree preferred.
- 3+ years of experience leveraging analytics to measure marketing effectiveness with a focus on measurement and attribution
- Machine learning based attribution or television attribution preferred
- Experience working with and measuring TV, digital media, and CRM data
- Deep knowledge of statistics/data science, including regression, hierarchical or mixed regression, and machine learning techniques (Naïve Bayes, Markov Chain, Random Forest etc.)
- Advanced modeling skills with Python and R
- Cloud environment experience, especially GCP and AWS
- Experience working with platforms like Databricks a plus, SQL preferred
- Data visualization experience with tools like Tableau or Power BI a plus
- MMM experience a plus
- Understand marketing objectives and how different media channels support these objectives
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