Senior Measurement Partner, Data & Analytics

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New York, NY, USA
In-Office
110K-125K Annually
AdTech • Machine Learning
The Role
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.

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 articulate complex data concepts and challenges to both technical and non-technical stakeholders.


  • #li-ch

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.

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The Company
HQ: San Francisco, CA
318 Employees
Year Founded: 2008

What We Do

Television remains a vibrant cultural influence and an essential source of entertainment and information worldwide. Tremendous growth in content choices, and viewing platforms that allow us to watch anything, anytime, on any screen, has actually made it harder for viewers to discover and keep up with all the great programming available. It’s also more competitive for content providers to keep your attention, and for marketers to make strong, measurable connections with their target consumers. Technology that improves the viewing experience, enables content discovery, and addresses audience fragmentation across screens will strengthen television’s business model and relevance to consumers. Data is at the center of any solution to make TV better. Samba TV's technology is built into Smart TVs and easily maps to smart phones and tablets. By recognizing what's on screen, Samba TV learns what viewers like and using machine learning algorithms, enables discovery of shows and actors in a whole new way. Likewise, our data and measurement products are transforming the way stakeholders across the media landscape are thinking about their business. Given the dramatic growth in streaming services, connected devices, time-shifting, and multi-screen viewership, our data products solve real problems and create a meaningful competitive advantage for our clients.

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