Responsibilities

• Own end-to-end performance measurement across paid channels, including Meta, Google, TikTok, Affiliate, and emerging platforms, maintaining clear visibility into spend, revenue, ROAS, CAC, new customer acquisition, and overall business impact.
• Build and maintain daily, weekly, and monthly dashboards, scorecards, and executive reporting for Marketing leadership and Finance.
• Deeply analyze channel, campaign, audience, and creative performance; identify drivers of growth and efficiency; and translate insights into clear recommendations for media allocation, optimization, and investment trade-offs.
• Partner with Marketing and Finance on budgeting, forecasting, spend pacing, scenario planning, and monthly target setting, providing an analytical point of view on investment opportunities and risks.
• Define and maintain centralized paid media KPI definitions, measurement logic, and standardized reporting frameworks across Marketing, Analytics, and BI.
• Partner with Data Engineering and BI teams to ensure seamless data ingestion, including integrations such as Adverity into BigQuery, streamline onboarding of new channels and data sources, and continuously improve reporting infrastructure, data quality, and reliability.
• Identify gaps or inconsistencies in marketing data and reporting, and drive solutions that improve confidence, speed, and consistency in decision-making.
• Design, execute, document, and interpret incrementality tests, lift studies, A/B experiments, and custom experimentation frameworks across paid media channels.
• Synthesize incrementality testing, attribution models, GA4, platform-reported performance, post-purchase surveys, and internal customer and transaction data to develop a triangulated view of marketing effectiveness.
• Develop or support modern marketing measurement frameworks that combine experimentation, attribution, and Marketing Mix Modeling, clearly articulating the strengths, limitations, and appropriate use cases of each methodology.

Requirements

• 3–5+ years of experience in performance marketing analytics, digital media analytics, marketing science, or a closely related field.
• Demonstrated experience translating analytical insights into media optimization and investment recommendations.
• Experience partnering cross-functionally with Marketing, Finance, BI, Data Engineering, or related teams.
• Advanced experience with Google Analytics 4 and ad platform analytics, including Meta Ads Manager, Google Ads, and TikTok Ads.
• Advanced SQL skills, including the ability to independently query, join, transform, and analyze large-scale customer, transaction, and marketing datasets.
• Proficiency working in cloud data warehouses such as BigQuery or Snowflake.
• Familiarity with data integration and marketing data pipelines, including platforms such as Adverity.
• Demonstrated hands-on experience with BI and visualization tools such as Looker Studio, Tableau, or Power BI.
• Advanced Excel skills and strong quantitative problem-solving capabilities.
• Strong expertise in designing and analyzing incrementality tests, lift studies, and A/B experiments.