GCP Lifecycle Analytics Lead

Google LLC; New York, Austin (NY, TX); On-site; USD 180,000 - 261,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid Time Off: 20 days/year

Sick Time: 40 hours/year

Maternity Leave: 28-30 weeks

Baby Bonding Leave: 18 weeks

Holidays: 13 days

Job summary

Google Cloud is seeking an Analytics Lead for Lifecycle Analytics to own full-funnel measurement, experimentation, and reporting for Growth Marketing. You will partner with marketing, sales, product, engineering, strategy & operations, and data science peers to drive strategic insights that inform investment decisions.

Individual pay is determined by factors including job-related skills, experience, and education. US: $180000 - $261000 (USD) + 20% bonus target + equity + benefits.

Qualifications

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

Responsibilities

• Lead analytics strategy for GCP Lifestyle Growth Marketing and cross-functional leadership.
• Deliver dashboards and recurring reports to leadership with actionable insights.
• Provide advanced analytics and experimentation support for data-driven marketing.
• Design and implement A/B and multivariate tests with causal inference when needed.
• Identify opportunities to improve customer utilization and market expansion.

Skills

SQL

Data analysis

Cross-functional collaboration

A/B testing

Statistical modeling

Education

Bachelor's degree in a quantitative field

Tools

ETL pipelines

Dashboarding

Martech systems

Job description

corporate_fare Google place New York, NY, USA ; Austin, TX, USA ; +4 more

X 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. 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

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Austin, TX, 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 1P and 3P martech systems, integration points for data, building Extract Transform Load (ETL) pipelines.
• Experience architecting scalable dashboards and reporting suites, statistically sound measurement frameworks.
• 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.
• Familiarity with B2B, Product-Led Growth (PLG), or growth marketing data and acquisition funnels.

About the job

The Google Cloud team helps customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. Growth Marketing is a vital growth engine for Google Cloud, driving customer acquisition, product adoption, and revenue expansion across our self serve and enterprise funnels. In the current environment, where scaling our business, optimizing conversion pathways, and driving measurable impact are more important than ever, growth marketing strategy and experimentation are top-of-mind priorities for leadership. As the Analytics Lead for Google Cloud Platform (GCP) Lifecycle Analytics, you will be at the forefront of full-funnel measurement, experimentation, and reporting of the effectiveness of growth marketing initiatives, lifecycle programs, and expansion opportunities. In this role, you will work with marketing, sales, product, engineering, strategy & operations, and data science peers to own and conduct in-depth data analysis to inform strategic growth and investment decisions.

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

Learn more about benefits at Google.

• Lead analytics strategy for GCP Lifestyle Growth Marketing, collaborating closely with cross-functional leadership across Strategy and Operations, Product, and Marketing to build performance measurement methods, integrate multiple data sources, and generate actionable business insight.
• Demonstrate technical leadership in data extraction and manipulation by delivering user-friendly, informative dashboards and recurring reports, continually iterating and prototyping these visualizations to meet business needs.
• Provide advanced analytics and experimentation support to enable data-driven marketing, applying sophisticated statistical techniques and data mining to rapidly solve complex business problems.
• Support the rigorous design and implementation of A/B and multivariate hypothesis tests, leveraging causal inference methods as appropriate to ensure statistically significant results.
• Provide high-level insight and detailed, segmented, investigative analyses to identify key opportunities to deeply understand and enhance customer utilization of Google Cloud products and overall market expansion.

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.

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