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Reputable global brand, metro location, and broad mid-senior analytics skillset increase candidate competition.
Core analytics and data science skills are transferable, though marketing analytics experience adds moderate industry specificity.
Explicit 7–10 years requirement, 2+ people management, and specific tech stack make filters highly strict.
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Lead and develop a digital marketing analytics team managing data scientists and analysts, focusing on team performance and innovation.
Own and prioritize analytics initiatives aligned with marketing priorities, managing capacity, timelines, and risks.
Deliver analytics and dashboards across GA4, Paid Media, and CRM platforms to produce executive insights and influence marketing strategy through data-driven insights.
7–10 years of experience in analytics/data science with 2+ years in people and/or analytics portfolio management.
Bachelor’s degree in a relevant field.
Technical expertise required in Data Modeling, Transformation, Science, and Visualization using SQL/dbt, Python/R (including Pandas, Scikit-Learn, PyTorch), Jupyter, VS Code/Git, and Power BI/Tableau.
Experience with Web & App Analytics (GA4), CRM/Marketing Automation, Paid Media Platforms, ETL, Cloud-native Pipelines, and Data Storage technologies such as Snowflake, BigQuery, GCS, or S3.
Experienced leader comfortable managing and developing a team of analytics professionals in a marketing context, with ownership accountability for outcomes.
Demonstrated ability to translate marketing business needs into scalable analytics solutions and influence strategy through data-driven insights.
Experience operating in a global delivery model with multiple stakeholders across time zones, ensuring alignment of priorities and timely delivery.