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Product Analyst, Data Science 480 views

Note: By applying to this position your application is automatically submitted to the following locations: Mountain View, CA, USA; San Bruno, CA, USA; New York, NY, USA

Minimum Qualifications

    • BA/BS degree or equivalent practical experience.
    • 3 years of experience working with statistical packages (e.g. R, SAS, Stata, MATLAB, etc.).
    • Experience articulating product questions, pulling data from datasets (SQL) and using statistics to arrive at an answer.

Preferred Qualifications

    • BA/BS or Master’s degree in a quantitative field such as; Statistics, Computer Science, Engineering, Mathematics, Data Sciences.
    • Experience in scripting with SQL, extracting large sets of data, and design of ETL flows.
    • Experience in an inter-disciplinary/cross-functional field.
    • Interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation.
    • Ability to translate analysis results into business recommendations, and excellent written and verbal communication skills.
    • Distinctive problem solving skills and impeccable business judgment.

About The Job

Product Analysts provide quantitative analysis, market expertise and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you’ll 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 key recommendations for your fellow Googlers in Engineering and Product Management.

As a Product Analyst, 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 will work to effectively turn business questions into data analysis, and provide meaningful recommendations on strategy.

Responsibilities

    • Conduct data analysis to make business recommendations (e.g. 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 business priorities.
    • Collaborate with cross-functional stakeholders to formulate and complete full cycle analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations.
    • Help Google to focus on key decisions to improve products and services.

At Google, they don’t just accept difference—they celebrate it, they support it, and they thrive on it for the benefit of their employees, their products and their community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. They 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. They 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 them know by completing this form .

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Here at the Open Data Science Conference we gather the attendees, presenters, and companies that are working on shaping the present and future of AI and data science. ODSC hosts one of the largest gatherings of professional data scientists with major conferences in the USA, Europe, and Asia.