Job Description
About the position
- Responsibilities
- Develop and optimize multi-touch attribution (MTA) frameworks to align with media mix modeling (MMM) findings to further refine the evaluation of marketing channels
- Collect, clean, and prepare data for testing/modeling and future reporting, ensuring data quality validation and documentation are top-notch
- Analyze model outputs to provide actionable recommendations for marketing strategy (including campaign and tactic) improvements; interpret test results and highlight key findings to enhance future campaign planning
- Evaluate, design, and recommend experiments to measure the incremental impact of marketing tactics; support the interpretation of test results, highlighting key findings to enhance future planning
- Conduct in-depth analyses of customer data to develop robust audience segments and collaborate with marketing teams to recommend tailored strategies for each segment
- Work with various teams to ensure analytical outputs align with business needs and document workflows and insights for the team
- Requirements
- Pursuing a bachelor's or master's in marketing analytics, data science, statistics, business, or related field
- Strong interest in marketing analytics, data-driven decision-making, and a proactive and collaborative attitude
- Familiar with statistical and data analysis concepts, with a willingness to learn (given current advances in AI)
- Nice-to-haves
- Proficient in Python, R, or SQL
- Experienced with Databricks, Funnel.io, Tableau, Power BI, or similar platforms and tools
- Familiar with Adobe Analytics and/or Google Campaign Manager data
- Knowledgeable in experimental design and marketing measurement methodologies (e.g., incrementality testing, MMM, MTA)
- Benefits
- The hourly range is $18 for undergraduates, $21 for graduate students, and $28 for Ph.D. candidates
- Internships are non-exempt positions and are not eligible for employee benefits
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