Measurement Analyst

Samba•Los Angeles, CA

About The Position

Samba is a media intelligence company that provides real-time, large-scale data on what the world is watching, reading, and thinking. Their data, collected with consent from over a billion people, offers a comprehensive view of consumer attention, used by major brands for informed decision-making. Samba is at the forefront of cross-channel media measurement, utilizing AI and billions of signals from smart TVs, data partners, and the open web to connect media consumption with online and real-world actions. This enables leading brands to optimize content and media planning, audience activation, and measurement. The Measurement Science team, which includes Measurement Partners, Insights, Strategic Initiatives, and Technical Measurement Operations, is responsible for leveraging Samba's data, measurement, and insights to deliver customer value. The Data Analyst role is part of the Technical Measurement Operations team and supports all Measurement Science members, reporting 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).
Conduct 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).