As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You weave stories with meaningful insight from data. You make critical recommendations for your fellow Googlers in Engineering and Product Management. As a self-starter, you relish tallying up the numbers one minute and communicating your findings to a team leader the next.
You can see different angles of a product or business opportunity, and you know how to connect the dots and interact with people in various roles and functions. You have substantial experience with analytical tools and techniques, and bring a solid skill-set in analyzing data and communicating recommendations. You will deepen your skill-set by working with analytical thought leaders across the company.
Conduct data analysis to make business recommendations (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.
Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs.
Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations.
Help Google to focus on key decisions to improve products and services.
BA/BS degree or equivalent practical experience.
3 years of experience working with statistical packages (e.g. R, SAS, Stata, MATLAB, etc.)
Experience with articulating product questions, pulling data from datasets (SQL) and using statistics to arrive at an answer.
BA/BS or Master's degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences)
Experience in scripting with SQL, extracting large sets of data, and design of ETL flows
Work experience in an inter-disciplinary/cross-functional field.
Deep interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation.
Distinctive problem solving skills and impeccable business judgment.
Capable of translating analysis results into business recommendations. Strong written and verbal communication skills.