Analytics Lead, Partner Marketing, Google Cloud

Google; Sunnyvale (CA); On-site; USD 180,000 - 261,000; Full time

Benefits offered by this job

Health, dental, vision

401(k) with company match

Paid time off

Sick time

Holiday pay

Maternity leave

Job summary

Google seeks a senior data analytics professional to lead marketing analytics strategy, merge multi-source data into clear dashboards, and deliver actionable insights for leadership. You will influence strategic decisions, drive reporting with senior stakeholders, and help shape Google Cloud usage through rigorous statistical methods.

Responsibilities include end-to-end data extraction, advanced visualization, and fostering cross-functional collaboration to align data requirements with business

Qualifications

• Bachelor's degree in a quantitative field or equivalent practical experience.
• 9 years of experience as a data analyst/scientist using statistical techniques.
• 7 years of experience analyzing data sets with SQL.
• Experience developing data visualizations.

Responsibilities

• Guide partner marketing analytics strategy and establish performance measurement frameworks.
• Integrate multi-source data to build dashboards and recurring reports for leadership.
• Uncover insights to inform strategic changes for Google Cloud product use and adoption.
• Apply statistical methods for A/B, multivariate, and causal inference testing.
• Provide end-to-end data extraction, manipulation, visualization, and data mining.

Skills

SQL

Data visualization

Statistics

Data analysis

Education

Bachelor's degree in a quantitative field

Tools

ETL pipelines

Dashboard tooling

BI platforms

Job description

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.

Minimum qualifications

• 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.
• Experience developing data visualizations.

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: $180000 - $261000 (USD) + 20% bonus target + equity + benefits

Responsibilities

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 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. We 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 us know by completing our Accommodations for Applicants form.