Data Scientist, Product

Há 5 dias

Belo Horizonte, Brasil Google Tempo inteiro
**Minimum qualifications**:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience.
- Ability to communicate in English and Portuguese fluently.
**Preferred qualifications**:
- Experience with advanced experimental designs including a/b testing.
- Experience leading and managing multiple projects simultaneously, with the ability to influence stakeholders.
- Excellent problem-solving, project management, and verbal/written communication skills.
**About the job**:
Help serve Google's worldwide user base of more than a billion people. Product Analysts provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. 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 will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
**Responsibilities**:
- Perform analysis by utilizing relevant tools (e.g., SQL, R, Python). Use comprehensive technical knowledge and custom data infrastructure or existing data models.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and validate data to ensure quality.
- Report Key Performance Indicators (KPIs) to support business reviews with cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
- Provide analytical insights and recommendations to influence product feature development decisions, and with some guidance.
- Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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