Note: The job is a remote job and is open to candidates in USA. YouGov America Inc. is hiring a Senior Data Methodology Analyst to oversee methodology quality control, data health monitoring, and change impact assessment for its BrandIndex and Profiles products. The role builds automated monitoring tools and communicates statistical findings to stakeholders while contributing to data quality standards and governance.
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, surfacing issues before they reach client-facing outputs
- Investigate anomalies and data quality signals, conducting root cause analysis and working with Data Operations and Engineering to resolve them
- Lead statistical QC on methodology changes - weighting updates, imputation changes, questionnaire amendments - assessing impact on key metrics and historical comparability before changes go live
- Develop a structured change impact assessment process, with clear documentation of decisions, trade-offs, and expected effects
- Work alongside the Change Control process to ensure methodology changes are evaluated and communicated consistently
- Build the scripted pipelines, alerting tools, and reproducible frameworks that make monitoring scalable rather than manual
- Help the wider team get better at analytical tools and methods over time
- Identify and introduce new tooling where it genuinely 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
Skills
- 8 plus 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, significance testing
- Strong Python or R skills for analysis, automation, and pipeline development; SQL required
- Experience building monitoring frameworks or alerting systems for data health in a live environment
- Rigorous about data; instinctively looks for where things can go wrong and catches it early
- Self-directed and gets on with things; does not need to be asked twice
- Can explain complex statistical findings clearly to a non-technical audience
- Works well across functions; credible with engineering, research, and product teams alike
- Comfortable in an environment where not everything is defined yet
- Degree in a related field such as Statistics, Data Science, Mathematics, Econometrics
- 8 plus years of relevant experience with demonstrable work in statistical QC, methodology governance, or data quality assurance
- Track record of building or materially improving analytical infrastructure in a team or organization
- Familiarity with survey research and panel-based data collection is a strong advantage
- Experience with Power BI or Tableau is a plus
- Advanced degree is an advantage
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
Company Overview
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