Senior Measurement Partner, Data & Analytics

About the Role

Key Responsibilities

• 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 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.
• Contribute to discussions about evolving research products and methodologies, providing expert data-driven insights and technical feasibility assessments to enhance 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 audience media and measurement opportunities.

Requirements

• 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.
• A bachelor's 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.
• Exceptional analytical skills, thriving on diving deep into data to identify patterns, diagnose intricate data-related problems, and implement robust solutions.
• Proven ability to identify bottlenecks and implement strategic process improvements that enhance data efficiency and quality.
• Strong cross-functional collaboration skills with data analysts, product, engineering, and client-facing teams.
• Understanding of ad measurement methodologies (e.g., control/exposed experiments) and their data requirements.
• Ability to clearly articulate complex data concepts and challenges to both technical and non-technical stakeholders.

Nice to Have

• Experience with data visualization tools and integrating data structures with visualization platforms.
• Knowledge of automation and workflow optimization in data processing.

Qualifications

• Bachelor's or advanced degree in a quantitative field such as statistics, data science, computer science, or economics.

Benefits & Perks

• Annual salary between $110,000 - $125,000 USD, depending on location, experience, and performance.
• Additional rewards may include an annual bonus, short-term and long-term incentives.
• Health insurance, wellness offerings, life and disability insurance, retirement savings plan, paid holidays, and paid time off (PTO).