Marketing Analytics Lead
About the Role:
We’re looking for a highly skilled and strategic Marketing Science Lead to elevate our marketing performance through data-driven insights and advanced analytics. This is a senior individual contributor (IC) role, ideal for someone who thrives on solving complex problems, collaborating cross-functionally, and driving impact.
You’ll lead key initiatives around Marketing Mix Modeling (MMM), attribution, and causal inference, helping the business understand the true impact of marketing and optimize our media investments accordingly.
What you will own:
Reporting to the Director of Marketing Operations, you will:
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.
What you bring to the table:
Bachelor’s or Master’s degree in Mathematics, Statistics, Economics, Data Science, or a related field.
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.
Preferred Qualifications:
Experience with incrementality testing and geo-experiments.
Familiarity with data pipelines and cloud-based platforms (e.g., Snowflake, BigQuery, Databricks, dbt).
Experience presenting to senior executives and influencing strategic decisions with data.
Marketing Analytics Lead
About the Role:
We’re looking for a highly skilled and strategic Marketing Science Lead to elevate our marketing performance through data-driven insights and advanced analytics. This is a senior individual contributor (IC) role, ideal for someone who thrives on solving complex problems, collaborating cross-functionally, and driving impact.
You’ll lead key initiatives around Marketing Mix Modeling (MMM), attribution, and causal inference, helping the business understand the true impact of marketing and optimize our media investments accordingly.
What you will own:
Reporting to the Director of Marketing Operations, you will:
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.
What you bring to the table:
Bachelor’s or Master’s degree in Mathematics, Statistics, Economics, Data Science, or a related field.
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.
Preferred Qualifications:
Experience with incrementality testing and geo-experiments.
Familiarity with data pipelines and cloud-based platforms (e.g., Snowflake, BigQuery, Databricks, dbt).
Experience presenting to senior executives and influencing strategic decisions with data.