Marketing Analytics Intern
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
Apply Now
Apply Now
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
Apply Now
Apply Now