Tech Stack

Description

In this role, you will support analytics delivery across client engagements, building and optimizing data pipelines, and enabling cross-channel measurement frameworks. You'll work hands-on with client stakeholders to translate data into actionable insights and contribute to evolving analytics capabilities.

Requirements

• Bachelor's/Master's in quantitative field or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience with large datasets in cloud environments (e.g., GCP, Databricks)
• Working knowledge of Python for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama)

Responsibilities

• Support analytics delivery across client engagements ensuring high-quality outputs
• Design, build, and optimize data pipelines for reporting and measurement
• Contribute to cross-channel measurement frameworks
• Translate data into insights and recommendations for clients
• Support test design and analysis to evaluate performance