Minimum qualifications:

• Bachelor's degree in a business or quantitative field (e.g., Social Sciences, Statistics, Mathematics, Bioinformatics, Economics, etc.), or equivalent practical experience.
• 3 years of experience working in analytical roles in marketing, data science, or financial services.
• 3 years of experience designing, executing, and delivering analysis projects and measurement approaches, with experience translating business problems into analytical questions and marketing recommendations.
• Experience with SQL, R, SPSS, or similar statistical programming languages.

Preferred qualifications:

• 3 years of experience in marketing analytics, designing experiments, developing statistical models, measuring campaigns, and identifying optimization opportunities, or comparable experience using data and analytics in technology or financial services.
• Experience supporting multiple products/teams concurrently, and ability to manage multiple projects in a constantly evolving environment of priorities.
• Experience in processing and analyzing data from large and complex datasets.
• Experience with cross-functional stakeholder management, with the ability to develop a perspective, and influence and bring people along.
• Familiarity with performance analytics, growth, or product analytics.

About the job

You will drive measurement, analysis, and testing initiatives supporting global and regional marketing programs. You will directly analyze large data sets, and design and perform statistical analyses that continuously improve our process efficiency and campaign impact. In collaboration with a multidisciplinary team of marketing, product management, analytics and engineers, you will tap into the underlying data, align on key metrics/methodologies and generate insights that enable marketers to develop valuable, highly effective programs.

In this role, you will manage analytics of various marketing programs for products within Google Platforms. You will develop methodologies to understand the impact from engagement marketing, direct response, and strategic programs within marketing. You will identify the right metrics for success and develop measurement techniques to make investment recommendations. You will work closely with various internal stakeholders to support development of new programs that will improve customer engagement and business growth. You'll guide impactful decisions that will improve the experience of users globally.

Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.

The US base salary range for this full-time position is $108,000-$158,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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

• Establish success metrics, develop methodologies, and execute measurement to explain the incremental impact of marketing actions.
• Understand the business challenges and propose analytic projects to inform strategic and tactical business decisions.
• Communicate insights and recommendations clearly, and build alignment on the path forward with a wide range of audiences.
• Conduct end-to-end data analysis with high autonomy in structured and unstructured data environments. This means working with ease on large, complex data sets or developing sound frameworks with limited data infrastructure.
• Partner cross-functionally with a variety of teams and stakeholders including product marketing managers, analysts, and engineers to execute high impact initiatives.