info_outline
X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications: - Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
- Experience in causal inference, A/B testing, statistical modeling, or machine learning.
Preferred qualifications: - 6 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
- Experience in campaign brand or conversion lift measurement and using analytical insights to guide media and marketing planning, or working with digital marketing: performance incrementality geo experiments (match market tests).
- Experience delivering analysis, fully automated analytics pipelines or audience segmentation and propensity modeling.
- Understanding of Bayesian approaches and modeling frameworks.
- Ability to generate practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders.
About the jobIn this role you will drive key measurement and analytics programs that deliver a scaled impact for Google Marketing across media campaigns.
You will play a strategic and technical role in driving all things marketing analytics, with a strong focus on the incremental impact of marketing dollars.
Define problems, develop metrics, extract data and communicate results into recommendations that enable decision-making and drive business impact. You will own measurement and define milestones, provide direction for agencies/vendors, delegate, prioritize, plan, and direct a group of people to drive the project to completion.
You will be seen as an expert within our team on all things that relate to media and marketing incrementality, MMMs, MMTs and digital measurement methodologies such as Channel level experiments and Brand lift tools. You will maintain global consistency, while keeping regional focus.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $236000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Provide support in media and marketing measurement and optimization that require expertise in advanced analytics work, with special focus on applying data science to marketing analysis approaches.
- Drive advanced analytics work including experimentation, measurement and modeling.
- Identify patterns and behaviors that are effective predictors of performance and critical drivers for a successful media and marketing plan.
- Develop evaluation frameworks for large-scale models, new metrics, and investigate anomalies. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods.
