Data Analyst, Measurement Science

About the Role

Key Responsibilities

• Extract data from Samba databases (e.g. conversion rate by audience segment).
• Perform custom matches and/or joins from disparate sources (e.g. ad exposure files from a publisher, conversion data from a measurement partner, and panel weights from the Samba measurement panel).
• Conduct exploratory analysis and statistics (e.g. drivers analysis to identify key drivers of campaign performance, content viewership, or other metrics).
• Visualize data to make it more accessible internally and externally.
• Independently manage, maintain, and execute the JIRA board ticketing system.
• Define mechanisms (e.g. weekly standups, office hours) to manage workflows.
• Incorporate AI into workflows and outputs and turn common requests into repeatable processes (e.g. templates, workbooks).

Requirements

• 4-8 years of experience in a technical data analyst role.
• Absolute technical fluency in SQL, Python, Databricks, BigQuery.
• Capabilities in statistical analyses, modeling, and exploratory data investigations.
• Strong communication skills, obsessively organized, meticulously detail-oriented.
• Knowledgeable in how to leverage AI tools to improve efficiency, accuracy, and workflows.

Nice to Have

• Experience in adtech and/or media, marketing, or measurement analytics.
• Experience independently managing JIRA or similar ticketing and prioritization systems.
• Experience identifying opportunities for scaling common asks into repeatable processes.

Qualifications

• Educational background is not explicitly specified, but extensive experience in data analysis roles is required.

Benefits & Perks

• Base salary between $100,000 - $140,000 USD per year, depending on location, experience, and performance.
• Annual bonus opportunity, short-term incentives, and long-term incentives.
• Health insurance, wellness offerings, life and disability insurance.
• Retirement savings plan.
• Paid holidays and paid time off (PTO).