Sobre

MINIMUM QUALIFICATIONS

• * Master's degree in Statistics, Data Science, Mathematics, Physics, Economics,
• Operations Research, Engineering, or a related quantitative field.

• * 3 years of experience using analytics to solve product or business problems,
• coding (e.g., Python, R, SQL), querying databases or statistical analysis, or
• a PhD degree.
• * Ability to communicate in English and Portuguese fluently to support client
• relationship management in this region.

PREFERRED QUALIFICATIONS

• * 5 years of experience using analytics to solve product or business problems,
• coding (e.g., Python, R, SQL), querying databases or statistical analysis, or
• a PhD degree.
• * 4 years of experience analyzing data and creating reports with statistical,
• quantitative modeling, and forecasting skills.
• * 3 years of experience in an applied research setting.
• * Experience with Python, R, or other scripting languages.
• * Experience in survey research.
• * Knowledge of statistics, and proficiency in one or more statistical software
• packages (e.g., R, SPSS, Stata, SAS).

ABOUT THE JOB

• At Google, data drives all of our decision-making. Quantitative Analysts work
• all across the organization to help shape Google's business and technical
• strategies by processing, analyzing and interpreting huge data sets. Using
• analytical excellence and statistical methods, you mine through data to identify
• opportunities for Google and our clients to operate more efficiently, from
• enhancing advertising efficacy to network infrastructure optimization to
• studying user behavior. As an analyst, you do more than just crunch the numbers.
• You work with Engineers, Product Managers, Sales Associates and Marketing teams
• to adjust Google's practices according to your findings. Identifying the problem
• is only half the job; you also figure out the solution.

• Google Research addresses challenges that define the technology of today and
• tomorrow. From conducting fundamental research to influencing product
• development, our research teams have the opportunity to impact technology used
• by billions of people every day.

• Our teams aspire to make discoveries that impact everyone, and core to our
• approach is sharing our research and tools to fuel progress in the field -- we
• publish regularly in academic journals, release projects as open source, and
• apply research to Google products.

RESPONSIBILITIES

• * Collaborate with stakeholders in cross-projects and team settings to identify
• and clarify business or product questions to answer. Provide feedback to
• translate and refine business questions into tractable analysis, evaluation
• metrics, or mathematical models.

• * Use custom data infrastructure or existing data models as appropriate, using
• specialized knowledge. Design and evaluate models to mathematically express
• and solve defined problems with limited precedent.

• * Gather information, business goals, priorities, and organizational context
• around the questions to answer, as well as the existing and upcoming data
• infrastructure.

• * Own the process of gathering, extracting, and compiling data across sources
• via relevant tools (e.g., SQL, R, Python). Separately format, re-structure,
• or validate data to ensure quality, and review the dataset to ensure it is
• ready for analysis.