Google Ads needs to build customer success through go-to-market (GTM) metrics and measurement of Ads products, requiring quantitative support, market understanding, and strategic perspective to help partners make better decisions and influence product direction.
Requirements
- 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 with a Master's degree).
- Experience in running experimentation-based decision-making processes, both quantitatively (inference, stats, etc.) and organizationally (discipline, alignment, stakeholder management).
- Experience with data science for business problem resolution.
- performing statistical analysis
- coding (e.g., Python, R, SQL)
- using analytics to solve product or business problems
- 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
Responsibilities
- Provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization.
- Serve as an analytics expert for your partners, using numbers to help them make better decisions.
- Weave stories with insight from data.
- Make critical recommendations for your fellow Googlers in Engineering, Product Management, and User Experience.
- Relish analyzing the numbers one minute and communicating your findings to key stakeholders the next to influence product direction and quantify impact.
- Define and report Key Performance Indicators (KPIs) and launch impact as part of regular business reviews with the cross-functional and cross-organizational leadership team.
- Translate analysis results in business insights or product improvement opportunities.
Other
- Align executive cross-functional Ads stakeholders (Sales, Support, Finance, Product) on a cross-organization process and discipline for the quantitative attribution of impact on key product initiatives.
- Provide investigative thought leadership to executive leadership through proactive and strategic contributions, consistently use insights and analytics to drive decisions and alignment throughout the organization.
- Consult with cross-functional stakeholders to improve experimentation velocity and analysis turnaround time through adoption of self-service tools and improved processes.
- Work with PM, UX, and Engineering to contribute to metric-backed annual and quarterly OKR settings.
- 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.
