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.
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 comfort delivering simple and compelling stories to audiences of all levels.
About the jobBeing an Analyst at Google is about much more than simply crunching numbers - it's about finding compelling insights within data and using your exceptional business and communication skills to translate those insights into action. As one of the masterminds behind our strategic planning, forecasting and analysis, you'll spend your time digging into big, complex data sets. The data will not remain inert in your hands, however, since you'll use your critical thinking, problem solving and communication skills to influence and drive thoughtful and well-informed decision making with our most senior business leaders within the organization, and potentially some of our biggest clients.
In this role, you will support our Food, Beverage, and Restaurant clients. You will use data and insights to solve problems that meaningfully transform their businesses and help achieve their objectives. You will foster and lead relationships with client marketing, strategy, and analytics stakeholders. You will have strong communication skills and are able to construct thoughtful, inspirational points of view that influence key decision makers while also being able to properly manage objections. You will be a collaborative team player who can build trust and motivate change both internally and externally.Google's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $108000 - $154000 (USD) 40% bonus target equity 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 and own analytical modeling for key client/partner projects, apply or customize analytical tools (e.g., dashboards) and frameworks to identify opportunities, and develop solutions to optimize client/partner business and maximize the use and effectiveness 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.
