Senior Manager, Marketing Science and Analytics

About the Role

Key Responsibilities

• Collaborate with CDI and diverse business users to cultivate strong relationships, engage in discussions about business trends, construct relevant dashboards, and manage stakeholder expectations concerning marketing analytics-driven tasks.
• Partner with Marketing teams to define and implement campaign measurement of integrated marketing campaigns, including TV, OOH, Digital and Social Media across a wide range of business lines (SVOD, theatrical, e-commerce etc.)
• Build and maintain marketing mix models (MMM) and multi-touch attribution reports via internal as well as industry standard tools for a sizeable marketing budget.
• Champion weekly insight decks for the Marketing leadership team by collaborating effectively across teams, documenting the impact of strategic initiatives on key metrics, and tracking the progress towards company goals.
• Partner with cross-functional teams to design analytics and reporting tools that will be instrumental to distribute certified dashboards and presentations.
• Connect ideas into cohesive, well-grounded recommendations, using creative, structured, and analytical thinking with the help of effective data visualization.
• Work with offshore and onsite teams in ownership of the sprint planning/management.
• Ensure on-time and within-budget delivery of departmental OKRs.

Requirements

• 8+ years of experience with data analysis, paid campaign analytics, statistics, experimentation, and optimization.
• 5+ years' relevant experience working in digital marketing ad platforms such as Google Ads, Facebook Ads, and TikTok Ads, while overseeing paid media campaigns and managing budget pacing / optimizations toward performance marketing goals.
• Deep expertise in measuring marketing performance against lifetime value metrics.
• Understanding of install and user-level paid campaign tracking to support multi-touch attribution via UTMs and MMP data for all major marketing channels.
• Understanding of Marketing Mix Models, Lift measurements and AB tests.
• 3+ years of experience with data visualization tools like Tableau, Superset etc.
• Fluency in data analysis, including defining KPIs, statistical and predictive modeling concepts, descriptive statistics, and experimental design.
• Experience in Marketing analytics tools like Google Analytics, Singular, Braze etc.
• Familiarity with SQL, Python, and building/ reviewing data science models using Python/R.
• Experienced in Web and Behavioral analytics tools like Google Analytics, MixPanel, Amplitude, among others, showcasing adeptness in analyzing user behavior and digital interactions.
• Experience with Cloud data warehouses like GCS, Databricks, Redshift etc.
• Experience working with large data sets (Terabytes of data/ billions of records).
• You hold a Bachelor's degree in Statistics, Computer Science, Information Systems, or a related field, providing a strong foundational knowledge and expertise.

Nice to Have

• Experience with data science models using Python/R.

Benefits & Perks

• Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
• Flexible time off policies allowing you to take the time you need to be your whole self.
• Generous medical, dental, vision, STD, LTD, and life insurance.
• Health Saving Account HSA program.
• Health care and dependent care FSA.
• 401(k) plan, with employer match.
• Employer paid commuter benefit.
• Support program for new parents.
• Pet insurance.