Senior Director Analytics, VP Analytics, Data Products

Summary

Join YouGov as a VP Analytics and contribute to a global online research company that provides insights into global opinions. You will be responsible for developing and evaluating research methodologies for data products, communicating analyses through various formats, and collaborating with data analysts. This hands-on role demands strong analytical, communication, and project management skills. The position involves solving complex data problems, collaborating with product managers to enhance data quality, introducing new methods and techniques, and independently conducting complex research projects. You will also be responsible for authoring white papers, preparing reports, and delivering presentations to communicate results. The role requires collaboration with the existing data science team.

Requirements

• Master's or Ph.D. in social science, statistics, business, or other field focused on empirical research with survey data
• Experience and understanding of market research and data analysis, including familiarity with modern statistical, econometric, and machine learning techniques
• Computational skills: strong R programming skills, with the ability to recruit, train, and manage technical talent
• Ability to write clean, maintainable, well-documented code
• Ability to connect data with business problems
• Skilled at communicating results and research methodology though reports
• Excellent project manager with exceptional collaboration skills displaying ability to work cross functionally pursuing the best interest of the company

Responsibilities

• Solve difficult data problems when they arise and explain solutions clearly to business leaders
• Collaborate with product managers to improve the quality of data and analytics in our products
• Introduce new methods and techniques into our data products suite, such as causal inference, machine learning, and generative AI
• Exercise considerable creativity, foresight, and judgment while working independently on complex research projects – including methods selection, techniques, and evaluation criteria
• Author white papers, prepare ad hoc reports, and deliver in-person presentations to communicate results
• Work collaboratively with the existing data science team

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