Act as a thought partner to leaders, identifying opportunities for analytics to improve ROI and customer engagement.
Lead requirements gathering for complex, cross-functional initiatives.
Architect scalable reporting frameworks and advanced data models across the ecosystem.
Oversee the delivery of high-impact dashboards and insights for executive-level reporting.
Develop sophisticated machine learning models (e.g., media mix, propensity scoring, LTV prediction).
Design and validate complex experiments, including holdout designs and causal inference approaches.
Partner with data engineering to design robust ETL processes and scalable infrastructure.
Drive improvements in data architecture for marketing analytics, including real-time data integrations.
Lead initiatives to automate data processes and enhance operational efficiency.
Standardize KPIs and promote data governance best practices across teams.
Provide technical mentorship to junior team members.
Champion a culture of self-service analytics by developing training and tools for business users.

Bachelor’s degree in data science, Computer Science, Statistics, Analytics, or a related field is required.
Master’s degree in a quantitative field is preferred.
5+ years in analytics, with significant experience in data strategy and predictive analytics.
Demonstrated experience in media mix modeling, multi-touch attribution, incrementality testing, and A/B testing.
Expert-level SQL and Python (or R).
Deep experience with data modeling, cloud platforms (e.g., Databricks), and large-scale data systems.
Advanced proficiency in BI tools and statistical modeling packages.
Strong stakeholder management, including influencing without authority.
Proven experience translating analytics into business strategy and executive narratives.

Senior Marketing Analytics Engineer – Paid Media

Key skills