Analytics Lead, Partner Marketing, Google Cloud

Analytics Lead, Partner Marketing, Google Cloud

corporate_fare Google place New York, NY, USA ; Kirkland, WA, USA ; +4 more ; +3 more

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following:

New York, NY, USA; Kirkland, WA, USA; Seattle, WA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA

• Bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Science, etc.) or equivalent practical experience.
• 9 years of experience as a data analyst or data scientist using statistical techniques and quantitative modeling.
• 7 years of experience analyzing data sets using SQL.

Preferred qualifications:

• Experience collaborating with cross-functional stakeholders to drive consensus on technical data requirements, including strategic data direction, ad-hoc analysis, or development of new data pipelines.
• Experience working with first and third-party martech systems, integration points for data, building Extract Transform Load (ETL) pipelines.
• Experience presenting complex data analyses as easy to understand insights to leadership, with the ability to represent and influence discussions involving quantitative concepts and data-based stories.
• Experience architecting scalable dashboards and reporting suites, statistically sound measurement frameworks.
• Familiarity with Business-to-Business and Partner marketing data.

About the job

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $ - $ (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google .

• Guide partner marketing analytics strategy, collaborating with cross-functional and executive leadership to establish performance measurement frameworking and business reporting.
• Integrate complex, multi-source data to build user-friendly dashboards and recurring reports, providing high-level insights and segmented, investigative analyses that drive key business decisions.
• Uncover actionable insights that expose operational opportunities, directly informing strategic changes to enhance customer usage and engagement across Google Cloud products.
• Apply statistical methods to solve complex business problems, supporting the end-to-end design and implementation of A/B, multivariate, and causal inference testing.
• Serve as a technical authority in end-to-end data extraction, complex manipulation, interactive data visualization, and advanced data mining techniques.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.