Sr Marketing Science Analyst

Responsibilities

• Work closely with business partners to define tactic goals and objectives
• Leverage data to derive insights and inform marketing tactic execution
• Utilize analytical and quantitative skills by using data and metrics to test theories, confirm assumptions, generate insights/recommendations, and measure success
• Compile, prepare, and translate complex data into concise reports and dashboards that provide insights and informs next-step actions.
• Identify opportunities for increasing efficiency and consistency within work processes.
• Remain current on industry trends and brings forward opportunities for innovation.

Requirements

• 3+ years of experience in analytics, marketing analytics, marketing science or any quantitative field
• Marketing analytics experience including familiarity with optimizing marketing KPIs and maximizing on ROI
• Ability to extract, manipulate and analyze large and complex sets of data to provide business insights across a broad range of needs and target audiences
• Experience conducting assessments of marketing performance
• Working knowledge of marketing models, other statistical techniques, and robust marketing analytic acumen
• Ability to work effectively, both individually and as a member of a project team
• Ability to collaborate across departments, build relationships and present to a variety of audiences at all levels of the organization
• Understanding of how marketing channels work together through the marketing funnel
• Experience with CTV Analytics

Preferred

• Bachelor’s degree or higher preferred in a related field
• Proficiency in SQL, Python, R, or SAS, or ability to readily acquire proficiency based on experience with comparable programming/querying languages
• Experience working across multiple computing platforms and operating systems, with an emphasis on AWS, but including other platforms as well (such as Hadoop or DB2)
• Experience producing reports and dashboards using business intelligence and visualization tools (e.g., Microsoft Excel, Tableau, QlikView, etc.)