As a Marketing Science Analyst, your curiosity never ends. The next question is always on your mind, helping you to understand how marketing science fits in the big picture of a project. You bring in 2 to 3 years of experience, owning marketing science deliverables across a broad range of initiatives, and focusing on at least two of the following areas: tracking and measurement, implementation, reporting, data visualization, testing and evaluation, data integration, or statistical modeling. You understand the nature and purpose of the main digital marketing channels, enjoy collaborating with others, and are able to communicate clearly and effectively.
Design, build and automate analyses, reports, dashboards and other deliverables
Define, implement and validate tracking tags/codes across multiple digital platforms
Gather data through various third-party platforms and ensure compliance with data governance protocols
Assist in the ideation, development and execution of measurement strategies and frameworks
Manage multiple deliverables with the ability to seamlessly transition among them
Communicate complex analysis in an effective easy-to-understand manner
Use methodical thinking to document requirements, define implementation, and identify methods to improve process
Experience in providing clear & concise recommendations
Experience working with statistical analysis techniques and quantitative methods
Experience with 1 or more digital analytics platforms: Google or Adobe Analytics
Experience with 1 or more testing platforms: Optimizely, Adobe Target, etc., and interest in the ideation, development, and analysis of split and multivariate testing
Experience with one or more visualization platforms: Tableau, Domo, PowerBI, Datorama, etc.
Familiarity with API techniques and the languages required to support client and account needs
Familiarity with machine learning models and techniques, with ability to ideate and develop machine learning models that support client needs
Understanding of the main forms of digital marketing and how they differ