Data Analyst, Measurement Science

Samba TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage viewers and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI-driven insights.

Samba TV is building the future of cross-channel media measurement, and we are seeking our next rockstar Data Analyst to build with us! 

Samba TV is an AI-forward data, measurement, and technology company. Using billions of signals from smart TVs, data partners, and the open web, we connect what media people watch and consume with what they do online and the real world. We use this information to help the world’s leading brands make data-informed decisions in content planning, media planning, audience activation, content and ads measurement, and more. 

At Samba TV, Measurement Science is a service organization responsible for using Samba data, measurement, and insights to add value to our customers. The organization is aligned into four verticals: Measurement Partners, Insights, Strategic Initiatives, and Technical Measurement Operations. The Data Analyst role sits in the Technical Measurement Operations team, and provides support cross-functionally to all Measurement Science team members. The role reports to the VP Measurement Science.

• 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). 
• 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).

• The James/Jayne Bond of Data Analysis. 
• Sophisticated technical mastery of SQL, Python, Databricks, BigQuery
• Cool under pressure - thrives in tackling high-stakes, complex data challenges.
• Resourceful in problem solving - enjoys working independently to solve issues.
• Unconventional - does things as they should be done, not have been done.
• Goal-oriented - relentlessly driven to achieve goals and team success. 

• 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. 

• 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. 

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Samba TV is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.  We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.

Samba TV may collect personal information directly from you, as a job applicant, Samba TV may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.