Senior Measurement Partner, Data & Analytics

About Samba TV

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.

Role Overview

We're seeking a highly analytical and strategically-minded Senior Measurement Partner, Data & Analytics to join our team. Reporting to the Associate Director, you'll leverage your 7+ years of deep expertise in data manipulation and measurement to drive the integrity and efficiency of our measurement products. This role involves owning complex data pipelines, setting standards for data quality, and significantly influencing the delivery of high-quality insights that shape campaign performance for our major brand and agency clients.

What You'll Do

• Own the end-to-end data lifecycle for complex measurement studies, including advanced querying, extraction, transformation, and validation of large, multi-source datasets to support analyses.
• Establish and enforce best practices for data quality, completeness, and consistency across all measurement outputs. Proactively identify and resolve complex data discrepancies and integrity issues.
• Drive the development and implementation of robust process efficiencies related to data pulling, processing, and formatting. Collaborate closely with Product and Engineering teams to automate workflows and enhance our data infrastructure.
• Architect and prepare sophisticated data structures that enable the generation of both pre-sales and post-sales measurement insights, integrating with internal data visualization tools for high-impact client deliverables.
• Act as the primary technical data liaison for cross-functional teams, ensuring precise study implementation from a data perspective and proactively troubleshooting and resolving complex data-related challenges.
• Develop and maintain comprehensive, clear documentation on client-specific data processes, methodologies, and output specifications, serving as a knowledge resource for the team.
• Strategically contribute to discussions about evolving research products and methodologies, providing expert data-driven insights and technical feasibility assessments to enhance our measurement capabilities.
• Provide technical guidance and mentorship to junior analysts, fostering their development in data extraction, validation, and analysis techniques.
• Collaborate with sales and marketing teams to provide critical data points and insights that strengthen positioning stories and demonstrate the tangible value of our audience media and measurement opportunities.

Who You Are

• You bring 7+ years of hands-on experience working extensively with large, complex datasets, with a proven track record in data extraction, manipulation, validation, and quality assurance within a measurement or analytics context.
• You have a bachelors or advanced degree in statistics, data science, computer science, economics, or a related quantitative field.
• Expert proficiency in SQL is mandatory.
• Strong proficiency in Microsoft Excel and PowerPoint.
• You possess exceptional analytical skills, thriving on diving deep into data to identify patterns, diagnose intricate data-related problems, and implement robust solutions.
• You have a proven ability to identify bottlenecks and implement strategic process improvements that enhance data efficiency and quality.
• You are a strong cross-functional partner, adept at collaborating with data analysts, product, engineering, and client-facing teams to achieve shared data and measurement goals.
• You possess a strong understanding of ad measurement methodologies (e.g., control/exposed experiments) and their data requirements.
• You can clearly communicate complex data findings to both technical and non-technical audiences.

Additional Information

• Employment Type: US Full-time Salaried