About the job

Google Voice connects users globally, from dedicated power users to the countless businesses that rely on phone calls as their primary way to interact with customers. Voice has an unprecedented opportunity to redefine the traditional business communication experience. Powered by Gemini, we are developing industry-leading generative AI features that will be a key differentiator in the marketplace and drive our next wave of growth.

The US base salary range for this full-time position is $192,000-$278,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Work closely with stakeholders in product management, engineering, and operations teams to define performance goals, KPIs, and other success measurements.

• Work with large, complex internal data sets. Solve difficult, non-routine analysis problems, applying advanced investigative methods as needed.

• Act as a thought partner to produce insights and metrics for various technical and business stakeholders across the video team and Workspace.

• Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.

• Collaborate with the engineering team to ensure infrastructure supports key analyses.

Minimum qualifications

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years work experience and a Master's degree.
• Experience in extracting data with SQL and designing ETL flows, and with statistical software (e.g., R, Python) and database languages (e.g., SQL).

Preferred qualifications

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

• 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

• Experience working with engineers and product managers.

• Track record of solving unstructured business problems with data science, translating results into impactful business recommendations, and measuring the success of those initiatives.