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Data Transformation Lead, Education

GoogleSan Francisco, CA, USA

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
  • Experience with programmatic advertising analytics.

Preferred qualifications:

  • 1 year of experience with marketing measurement and attribution techniques (e.g., offline measurement, MMM, MTA, attribution) and Google advertising products (e.g.,Google Ads, Google Analytics, Google Marketing Platform, etc).
  • 1 year of client-facing experience, with a track record of influencing across levels.
  • Knowledge of SQL, databases, and basic automation techniques (e.g.,dashboards, automating custom reports, materializing tables).
  • Ability to analyze large datasets and distill them into actionable insights that are presented in a logical and compelling story.
  • Strong written and verbal communication skills with simple and compelling stories to audiences of all levels.

About the job

Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google's key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.

As a Data Transformation Lead (DTL) for the SF Education Business, you will help Higher Ed and EdTech customers achieve their goals by promoting and leading critical data and infrastructure projects. You will be accountable for driving the business cycle for key Data and Measurement capabilities by owning Data and Measurement transformation with clients, including C-Level conversations. You will orchestrate cross-functional stakeholder relationships and adoption of first-party and third-party data solutions to drive media outcomes. You will also focus on AI Innovation through future forward solutions. You will coordinate the efforts of external and internal resources to accelerate infrastructure implementation and create consistency through Full Value Plans (FVPs) and manage the development and execution of joint technical plans.

Our Large Customer Sales teams partner closely with many of the world’s biggest advertisers and agencies to develop digital solutions that build businesses and brands. We enjoy a bird’s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We're uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google's broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences.

The US base salary range for this full-time position is $101,000-$147,000 + 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

  • Provide support and consulting on client's/partner’s strategy in the areas of sales, marketing or product development, and translate data into answers to business questions or insights to facilitate business decision-making.
  • Develop analytical modeling for key client/partner projects, customize analytical tools (e.g., dashboards) and frameworks to identify opportunities, and develop solutions to optimize client/partner business and maximize the use of Google products.
  • Collaborate with sales teams to drive business growth with clients/partners, conduct in-depth analysis and identify business opportunities, and support the development of go-to-market business pitch and marketing collateral.
  • Build and manage relationships with client/partner stakeholders across functions and levels, and own the relationship with the data/analytical stakeholders on the client’s/partner’s side.

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.

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.

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