Measurement Analyst

Samba•Los Angeles, CA

About The Position

Samba is a media intelligence company that provides real-time, large-scale data on consumer attention across various media platforms. The company utilizes this data to help leading brands make informed decisions in content and media planning, audience activation, and measurement. Samba is building the future of cross-channel media measurement and is seeking a Measurement Analyst to join their team. Samba is an AI-forward data, measurement, and technology company that connects media consumption with online and real-world actions using billions of signals. The Measurement Science organization is responsible for leveraging Samba's data, measurement, and insights to add value to customers, and is divided into four verticals: Measurement Partners, Insights, Strategic Initiatives, and Technical Measurement Operations. The Data Analyst role is part of the Technical Measurement Operations team, providing cross-functional support to all Measurement Science team members, and reports to the VP Measurement Science.

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 Haves

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.

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).
Perform exploratory analysis and statistics (e.g. drivers analysis to identify what the key drivers were 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).