Currently enrolled in a Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences, etc.), or a related technical field in the EMEA region.
Relevant practical or internship experience working with statistical packages (e.g., R, SAS, Stata, MATLAB, etc.).
Relevant practical or internship experience articulating product questions, pulling data from datasets (SQL or Python), and using statistics to arrive at an answer.
Nice to haves:
Currently enrolled in your penultimate/final year of education.
Ability to translate analysis results into business recommendations.
Ability to complete a minimum 13 week full-time internship in the internship location starting in either May, June or July 2027.
Interest and ability to work with data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation.
Excellent problem-solving, written/verbal communication, and business judgment skills.
What you'll be doing:
Conduct data analysis to make business or product recommendations (i.e., cost-benefit, invest-divest, forecasting, impact analysis).
Deliver effective presentations of findings and recommendations to multiple levels of stakeholders, creating visual displays of quantitative information.
Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations.
Help Google to focus on key decisions to improve products and services.