Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.
Global Partnerships Studio’s (GPS) mission is to empower Global Partnerships to enhance the health of our partnerships and to land better deals, more efficiently.
GPS is on a multi-year journey to make tools an essential part of every Global Partnerships Googler’s journey, by continuing to enhance our existing tools (with Artificial Intelligence (AI) where applicable) and launching new tools to meet the needs of our Partnerships teams.
In this role, you will drive a measurement mechanism to track the value of our workflow automation and AI products, and provide data-driven recommendations to our team and the broader Global Partnerships business. You will apply your working knowledge of investigative solutions to define tractable evaluation metrics, build insights-focused dashboards for leadership, and analyze user experience data. Your insights will play a critical role in shaping our product roadmap and the broader AI transformation journey for Global Partnerships.
The mission of Global Partnership Tools (GPT) is to empower Global Partnerships to enhance the health of our partnership more efficiently. To bring this mission to life, we build and maintain a portfolio of tools that automate pipeline and partner management workflows, and provide various reports. These reports: create a single source of truth for partners and pipeline activity to ensure visibility on state of the business, facilitate cross-functional collaboration to create execution efficiency, and deliver insights on potential business opportunities. GPT is continuing to enhance our existing tools and launching new ones to meet the needs of our partnerships teams with a focus on AI.
The US base salary range for this full-time position is $138,000-$198,000 + 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
- Develop and define evaluation metrics, such as Adoption and Usage, to measure our tools' implementation and impact.
- Work closely with product and engineering teams to analyze logs and ensure we are accurately tracking customer and user experiences.
- Create user-friendly dashboards and generate reports to effectively share insights and recommendations with leaders, internal teams, and executives to inform product decisions.
- Extract and analyze data to draw conclusions, evaluate outcomes, and proactively identify impactful opportunities to improve existing data solutions based on your findings.
- Interact with internal clients and partners to understand their business requirements and broader workflows, translating common business needs into tractable analyses and metrics.
Qualifications
Minimum qualifications:
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 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 relevant PhD degree.
Preferred qualifications:
- 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
- Proficiency in using charts, graphs, and tables to effectively capture data, share insights with leadership, and proactively identify gaps in current workflows.
- Proficiency in Python, writing solution code, manipulating datasets, and integrating with other production code.