Responsibilities

• Identify high-value business problems and translate complex analyses into clear, actionable recommendations for business partners and senior leaders.
• Design and execute advanced analytical approaches to measure campaign performance, enhance measurement methodologies, and analyze customer behavior trends.
• Quantify relationships between campaign components (e.g., audience, creative, placement) and Return on Ad Spend (ROAS).
• Lead the GTM delivery of scalable, insight-driven data solutions in partnership with cross-functional teams.
• Partner with Engineering teams to improve data pipelines and reporting infrastructure.
• Communicate analytical findings, lead training sessions, and develop client-ready use cases for internal stakeholders.

Requirements

• Bachelor’s degree in Mathematics, Statistics, Engineering, or an equivalent STEM degree strongly preferred.
• 4 plus years of experience in analytics, data science, or decision science roles.
• Expert-level SQL proficiency and strong experience working with data warehouses (GCP preferred).
• Advanced Python skills for analytical workflows, modeling, and data validation, with hands-on experience in Databricks environments and version control via GitHub.
• Proven experience working with large, complex, and imperfect datasets.
• Excellent communication skills with the ability to surface insights and integrate recommendations that influence strategic decisions.
• Strong data visualization and storytelling skills using tools such as Power BI, ggplot, plotly, or similar.

Preferred

• 2 plus years of experience in Advertising, Media, or Retail Media Analytics.
• Experience designing experiments or causal inference frameworks.
• Strategic mindset with the ability to independently define analyses and develop lightweight data products with minimal guidance.