As a Marketing Science Senior 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 3 to 5 years of experience, leading 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 have experience using data analytics to recommend solutions to improve Digital marketing performance, enjoy collaborating with others, and are capable of directly communicating business insights to clients through logical, easy to understand stories.

 

You will:

• Provide actionable insights by gaining a deep knowledge of the client’s business and industry.
• Design, build and automate analyses, reports, dashboards and other deliverables.
• Lead the ideation, development and execution of measurement strategies and frameworks.
• Gather data through various third-party platforms and ensure compliance with data governance protocols.
• Provide work direction to associate analysts and analysts.
• Occasionally contribute analytics content for pitch materials and request for proposals.
• Ideate and develop descriptive and inferential multivariate statistical models.

You have:

• B.S. degree in a quantitative or technical field. Including but not limited to: statistics, mathematics, business, finance, social sciences, computer science, or information management. M.S. degree preferred.
• Advanced Microsoft Excel and Microsoft Office skills, with strong verbal and written communication skills, and demonstrated experience presenting to internal or external stakeholders.
• Experience working with statistical analysis techniques and quantitative methods.
• Expertise in Python, R, SQL, or other business-relevant statistical programming language.
• Expertise with at least two of the following: data architecture (ETL/data integration), automated data ingestion + reporting, data science and statistical programming, testing and personalization, data visualization, website systems implementation.
• Experience with one or more visualization platforms (e.g.: Tableau, Domo, PowerBI, etc.).
• Experience with ETL techniques.
• Exposure to cloud technologies