GCP Lifecycle Analytics Lead

About the role

• GCP Lifecycle Analytics Lead share
• Share GCP Lifecycle Analytics Lead corporate_fare
• Google place
• New York, NY, USA
• ; Austin, TX, USA
• ; +4 more bar_chart
• Advanced
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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.

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 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.

Benefits

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

Learn more about benefits at Google.

Responsibilities

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.
• Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
• If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
• 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.

• To all recruitment agencies: Google does not accept agency resumes.
• Please do not forward resumes to our jobs alias, Google employees, or any other organization location.
• Google is not responsible for any fees related to unsolicited resumes.

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.