Marketing Data Analyst, Global Partnerships

Marketing Data Analyst, Global Partnerships

This role may also be located in our Playa Vista, CA campus.

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

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: San Francisco, CA, USA; Mountain View, CA, USA; New York, NY, USA; Los Angeles, CA, USA.

Minimum Qualifications:

• Bachelor's degree or equivalent practical experience.
• 4 years of experience in Business Intelligence or Data Analytics.
• 4 years of experience in SQL and Data Visualization (e.g., Looker, Tableau, Power BI, Qlik, or similar technologies).

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.

About the Job:

The Google Partners - Sellside Monetization team's mission is to fund the world's information by enabling online publishers, app developers and media buyers grow their businesses using our portfolio of products including AdSense, AdMob, and Google Ad Manager. We provide innovative, industry-leading online advertising solutions for our partners, who represent the largest publishers and buyers. We do this by enriching an open and healthy digital advertising ecosystem, developing trusted products our partners can rely on, and exceeding their expectations to strengthen long-term relationships. The Sellside Ads Marketing team is dedicated to helping publishers succeed by creating sustainable businesses with advertising. We do this by helping our partners get the most out of Google's ad platforms for publishers by educating them about the advanced features on our platforms, delivering unique insights to help them make better business decisions, and helping them navigate the changing advertising ecosystem.

Google's Global Partnerships team powers extraordinary user experiences through partnerships that solve users' needs, advance our partners' goals, and further Google's mission. Our team provides meaningful solutions — from helping publishers and developers grow their businesses through monetization solutions, to helping our long-term partners anticipate and navigate change in a way that delivers economic and reputational value. We build and distribute products through partnerships across a multitude of product areas, including Ads, Search and Assistant, Geo, Platforms and Ecosystems, Devices and Services, Health, Retail, Payments, Next Billion Users, and more. We collaborate across Google, ensuring a coordinated approach when engaging with our most complex and strategic partners.

The US base salary range for this full-time position is $117,000-$167,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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:

• Consult with users or decision makers to identify data sources, required data elements, or data validation standards with minimal guidance.
• Design business intelligence solutions and infrastructure to facilitate data gathering, storage, and retrieval with minimal guidance. Partner with upstream data providers to establish new source data pipelines. Follow and improve upon the local best practices.
• Develop data models to assist in the visualization and interpretation of data with minimal guidance.
• Develop reports, queries, and dashboards that access and consolidate information from a variety of data sources with minimal guidance. Design and implement specific features and components with minimal guidance.
• Perform data analyses utilizing relevant tools, leveraging custom data infrastructure or existing data models with minimal guidance. Work with clients to understand their needs and clarify requirements or direct to more suitable channels.

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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.

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.