Job description

Google’s Global Partnerships team powers extraordinary user experiences through partnerships that solve users’ needs, advance goals, and further our mission. Our team provides meaningful solutions — from helping publishers and developers expand through monetization solutions, to helping long-term allies anticipate and navigate change in a way that delivers economic and reputational value. The Google Partners - Sellside Monetization team's mission is to fund the world's information by enabling online publishers, app developers, and media buyers to scale using our portfolio of products including AdSense, AdMob, and Google Ad Manager. We provide innovative, industry-leading online advertising solutions for our ecosystem, representing the largest platforms and buyers. We do this by enriching an open and healthy digital advertising environment, developing trusted products that can be relied on, and exceeding expectations to strengthen long-term relationships. As a Marketing Data Analyst, you will power the future of publisher strategy by empowering clients to maximize content business and ensure a thriving, sustainable, ad-supported open internet. This role sits within the Publisher Intelligence team and is focused on driving through innovative testing initiatives. In this role, you will cross-functionally team up to deliver valuable customer insights and leverage analytics to inform key decisions. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $96000 - $136000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google . • Analyze marketing channel performance to optimize growth strategies across key scaled channels, such as email, events, social media, websites, etc., and identify new opportunities to grow via data-driven recommendations. • Lead campaign experimentation and incrementality analyses to measure business impact of marketing efforts and inform future investments to maximize impact of marketing spend. • Develop and maintain data pipelines, dashboards, and infrastructure to automate marketing operations and provide insight into business and campaign performance. • Develop a nuanced understanding of customer user journeys through customer research and data analysis to provide actionable market and customer insights for our marketing programs. • Cross-collaborate across Marketing, Product, Legal, and Sales teams across a variety of work streams while adhering to Google brand guidelines. • Bachelor’s degree or equivalent practical experience. • 2 years of experience in business intelligence or data analytics. • 2 years of experience in SQL and data visualization (e.g., Looker, Tableau, Power BI, Qlik, or similar technologies). • Experience with statistical concepts to lead experimentation frameworks (including A/B and incrementality tests) to measure and drive conversion funnel performance. Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 2 years of experience in business intelligence or data analytics. • 2 years of experience in SQL and data visualization (e.g., Looker, Tableau, Power BI, Qlik, or similar technologies). • Experience with statistical concepts to lead experimentation frameworks (including A/B and incrementality tests) to measure and drive conversion funnel performance. Preferred qualifications: • Experience with data warehousing or data modeling concepts. • Experience with big data technologies (e.g., Hadoop, Spark, Python, or R). • Experience with translating business requirements to BI solutions. • Experience with explaining technical analysis to stakeholders. • Experience with growth and scaled marketing channels. • Familiarity with leveraging AI-driven workflows to automate tasks and drive process improvements.

Requirements

Must-haves

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
Analyze marketing channel performance to optimize growth strategies across key scaled channels, such as email, events, social media, websites, etc., and identify new opportunities to grow via data-driven recommendations.
Lead campaign experimentation and incrementality analyses to measure business impact of marketing efforts and inform future investments to maximize impact of marketing spend.
Develop and maintain data pipelines, dashboards, and infrastructure to automate marketing operations and provide insight into business and campaign performance.
Develop a nuanced understanding of customer user journeys through customer research and data analysis to provide actionable market and customer insights for our marketing programs.
Cross-collaborate across Marketing, Product, Legal, and Sales teams across a variety of work streams while adhering to Google brand guidelines.
Bachelor’s degree or equivalent practical experience.
2 years of experience in business intelligence or data analytics.
2 years of experience in SQL and data visualization (e.g., Looker, Tableau, Power BI, Qlik, or similar technologies).
Experience with statistical concepts to lead experimentation frameworks (including A/B and incrementality tests) to measure and drive conversion funnel performance.
Bachelor’s degree or equivalent practical experience.
2 years of experience in business intelligence or data analytics.
2 years of experience in SQL and data visualization (e.g., Looker, Tableau, Power BI, Qlik, or similar technologies).
Experience with statistical concepts to lead experimentation frameworks (including A/B and incrementality tests) to measure and drive conversion funnel performance.

Nice-to-haves

US: $96000 - $136000 (USD) + 15% bonus target + equity + benefits
Experience with data warehousing or data modeling concepts.
Experience with big data technologies (e.g., Hadoop, Spark, Python, or R).
Experience with translating business requirements to BI solutions.
Experience with explaining technical analysis to stakeholders.
Experience with growth and scaled marketing channels.
Familiarity with leveraging AI-driven workflows to automate tasks and drive process improvements.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonai

Platform: google
Effort: medium