Senior Data Methodology Analyst

YouGov • New York, NY

4d • $91,000 - $130,000

About The Position

YouGov is hiring a newly created senior individual-contributor role supporting its BrandIndex and Profiles syndicated data products. The analyst will own methodology quality control, proactive data-health monitoring, and change-impact assessment across both products. The role combines statistical analysis with building automation and tooling to make data monitoring repeatable and scalable. It offers direct access to senior leadership and requires communicating effectively with both technical and commercial audiences.

The analyst will design and maintain monitoring frameworks, report on data health, investigate anomalies, and work with Data Operations and Engineering to resolve issues. They will assess methodology changes before implementation, document decisions and expected effects, and contribute to consistent governance through the Change Control process. They will also develop analytical infrastructure, improve team capability with analytical tools and methods, and communicate findings to Product, Commercial, and Client Services teams.

The role requires at least eight years of relevant experience, strong applied statistics and survey-data methodology knowledge, and proficiency in Python or R and SQL. A degree in a related field is required; an advanced degree is an advantage. The base salary range for positions based in California, New York, Colorado, Massachusetts, or Washington State is $91,000–$130,000 USD. Compensation depends on factors including location, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation and additional benefits.

YouGov describes its social mission as making millions of people’s opinions heard for the benefit of local, national, and international communities. It emphasizes accuracy, ethics, proven methodologies, diversity of perspective, and a supportive workplace.

Requirements

• At least 8 years in an analytics, data science, or quantitative research role, with a solid foundation in applied statistics and data quality.
• Deep knowledge of survey-based data methodology, including weighting, imputation, sampling, and significance testing.
• Strong Python or R skills for analysis, automation, and pipeline development.
• SQL skills are required.
• Experience building monitoring frameworks or alerting systems for data health in a live environment.
• A degree in a related field such as Statistics, Data Science, Mathematics, or Econometrics.
• At least 8 years of relevant experience with demonstrable work in statistical QC, methodology governance, or data-quality assurance.
• A track record of building or materially improving analytical infrastructure in a team or organization.

Nice To Haves

• Familiarity with survey research and panel-based data collection.
• Experience with Power BI or Tableau.
• An advanced degree is an advantage.

Responsibilities

• Design and own a monitoring framework for BrandIndex and Profiles covering panel composition, sample quality, coverage, and key data-health indicators across markets.
• Run regular data-health reporting and surface issues before they reach client-facing outputs.
• Investigate anomalies and data-quality signals, conduct root-cause analysis, and work with Data Operations and Engineering to resolve issues.
• Lead statistical quality control on methodology changes, including weighting updates, imputation changes, and questionnaire amendments; assess effects on key metrics and historical comparability before implementation.
• Develop a structured change-impact assessment process, documenting decisions, trade-offs, and expected effects.
• Work alongside the Change Control process to ensure methodology changes are evaluated and communicated consistently.
• Build scripted pipelines, alerting tools, and reproducible frameworks to make monitoring scalable and less manual.
• Help the wider team improve its analytical tools and methods over time.
• Identify and introduce tooling that improves the team’s ability to monitor and assure data quality.
• Translate analytical and statistical findings into plain language for Product, Commercial, and Client Services teams.
• Contribute to methodology documentation, data-quality standards, and the Change Control process.

Benefits

• Paid vacation, holidays, and sick days.
• Flexible working arrangement available.
• Group medical, dental, and vision insurance.
• Company-paid life and disability insurance.
• Paid parental leave.
• 401(k) with company match.
• Certain roles may be eligible for incentive compensation and additional benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior