Google Analyst Jobs (NOW HIRING)

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:

• Experience performing marketing experiments, return on investment/financial modeling, and statistical analyses.
• Experience working closely with clients, advising on marketing/business performance, and influencing decisions together with insights and measurement.
• Experience with online advertising (e.g., Search, Display, Video/CTV), offline advertising (e.g., TV, in person, etc.), website analytics (e.g., Google Analytics), or brand analysis techniques, applied AI tools.
• Familiarity with brand and performance marketing and measurement solutions (e.g., MMM, Experiments, MTA, incrementality, etc.).
• Ability to analyze datasets, identify actionable insights, and communicate findings via presentations or dashboards.

About the job
Businesses of all shapes and sizes rely on Google's unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and your customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals.
As an Analytical Lead, you are a trusted advisor to large customers and agencies, using data-driven insights and Google AI to solve clients'growth issues and achieve their business goals. You will serve as the Google owner of clients' marketing measurement plans and a key partner to Google's ad sales teams, who will work to bring the best of Google's advertising solutions to their customers.
You will have an analytical background with experience in consulting, marketing analytics, investment banking, financial modeling, or statistical analysis. You will be able to refine complex situations into a few actionable insights. You will help clients modernize their marketing measurement for the AI era by adopting best practices. You're an expert in the intersection of incrementality, MMM, and attribution. You'll use user behavior insights, customer segmentation, and Google internal data to devise marketing strategies that drive successful results.
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 - $155000 (USD) 40% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities

• Help finance advertisers navigate the shift to an AI first era of marketing, leveraging Google AI and ML solutions to articulate and quantify the value and impact of marketing investments.
• Act as an expert in helping prove the value of Google media via the triangulation of incrementality experiments, MMM, and attribution.
• Use predictive and statistical modeling techniques to solve issues, uncover opportunities and develop solutions for client business. Help customers navigate industry standards and alternatives.
• Travel up to 30% of the time as needed to work with clients or teams.
• Develop measurement plans in partnership with external client sponsorship, bringing the best of Google and specialist teams along for brilliant execution.

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