Drive analytics-led decision-making, create high impact insight narratives, manage client facing discussions, and accelerate analytics workflows through automation and generative AI
Job Summary
Drive analytics-led decision-making, create high impact insight narratives, manage client facing discussions, and accelerate analytics workflows through automation and generative AI.
Lead the design and deployment of advanced analytics and ML models across media measurement, marketing effectiveness, and dashboard visualizations.
Collaborate with data engineering teams to maintain ETL/ELT pipelines using Python, SQL, Airflow/Composer/Prefect and build reusable frameworks and accelerators to standardize analytics delivery.
Matching Summary
Drive analytics-led decision-making, create high impact insight narratives, manage client facing discussions, and accelerate analytics workflows through automation and generative AI.
Skills & Requirements
Must-have
Python (pandas, scikit-learn)
SQL and cloud data warehouses
Google Cloud Platform (GCP)
Media Mix Modelling (MMM)
Multi-touch modelling / attribution
Data Visualization & BI Tools
Nice-to-have
Generative AI tools acceleration
ML lifecycle monitoring
Causal inference expertise
Containerization and MLOps practices
Fast-paced agency environments
Key Requirements
6-10 years of experience
Data science, analytics, or marketing science background
Experience with advertising, campaign, impression, and media spend datasets