Director of Marketing Science & BI - Hybrid in Philadelphia

About the Role

Key Responsibilities

• Act as the primary analytics liaison for client stakeholders, translating business needs into analytical solutions and presenting insights with professionalism and clarity.
• Lead and own weekly and monthly business review presentations, delivering detailed analysis of business performance across marketing, operations, and product, and providing actionable insights to drive strategic decision-making.
• Build and maintain data models using database tools (DBT).
• Create and maintain dashboards and reports for internal and external stakeholders to monitor performance and provide actionable insights.
• Ensure strong data governance practices around data quality and integrity by establishing and enforcing best practices for data collection, processing, and analysis.
• Develop, implement, and optimize multi-touch attribution models to measure marketing channel effectiveness.
• Design and execute media mix modeling to inform budget allocation and maximize ROI.
• Analyze user data and build or maintain models such as player cohorting, lifetime value, etc.
• Collaborate with marketing, operations, and product teams to translate business objectives into data-driven strategies.
• Analyze large datasets to uncover trends, patterns, and insights for strategic marketing decisions.
• Stay updated with trends in data science, analytics, and marketing technology.
• Present findings and recommendations to senior leadership and stakeholders.
• Own the analytics project lifecycle from scoping to delivery and iteration.
• Drive development and implementation of predictive models and machine learning algorithms to enhance marketing efforts.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Marketing, or a related field.
• 6-10 years of experience in analytics or data science roles.
• Strong proficiency in SQL and working with data warehouses.
• Experience with statistical analysis, data mining, and predictive modeling techniques using Python or R.
• Experience developing data pipelines in DBT.
• Proficiency with data visualization tools such as Tableau, Power BI, or similar.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication skills for presenting complex data to non-technical stakeholders.
• Experience with digital marketing platforms (Google Analytics, Facebook Ads, etc.) and understanding of various marketing channels.

Nice to Have

• At least 3 years of experience leading data teams and developing data strategy and roadmap.
• Experience conducting multi-touch attribution and media mix modeling.
• Experience using machine learning techniques to build eLTV models.
• Experience working for a mobile app or Direct to Consumer brand.
• Familiarity with attribution reporting in a post Apple's ATT ecosystem.

Qualifications

• Educational background in Data Science, Statistics, Mathematics, Computer Science, Marketing, or related fields.

Benefits & Perks

• 401(k) matching
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance