Marketing Analytics Lead

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Requirements:

• 5+ years of experience in marketing analytics or data science roles with a strong focus on performance marketing measurement.
• Expertise in Marketing Mix Modeling and attribution techniques, with demonstrated experience applying them in a real-world setting.
• Proficiency in SQL and data visualization tools (e.g., Tableau, Looker, Power BI).
• Hands-on experience with Python or R for statistical modeling and advanced analytics.
• Strong foundation in experimental design and causal inference methods.
• Familiarity with platforms such as Google Analytics, Meta Ads, Google Ads, HubSpot, or similar martech tools.
• Strong leadership, project management, and stakeholder communication skills.
• Ability to work independently and lead high-impact projects from end to end, demonstrating the ability to thrive in fast-paced environments with minimal supervision.

Responsibilities:

• Lead development and execution of analytics frameworks to evaluate marketing effectiveness and ROI using MMM, attribution modeling, CLV, CACs and experimentation.
• Apply causal inference techniques (e.g., difference-in-differences, propensity score matching, uplift modeling) to isolate true marketing impact and support strategic planning.
• Build and maintain robust reporting and dashboarding infrastructure to track channel performance and business KPIs.
• Collaborate with channel owners (paid media, lifecycle, SEO/SEM, brand) to uncover insights and recommend optimization strategies.
• Own and evolve attribution models (e.g., rules-based, data-driven, algorithmic) to understand customer journey dynamics and guide budget allocation.
• Communicate complex analytical findings to executive stakeholders in a clear and actionable way.