Senior Analytical Lead, US Retail, Midwest
at Google
Location
Chicago, IL, USA
Compensation
$124k–$180k USD
Type
full time
Posted
2 weeks ago
Market range · company + function + seniority
$178k—$215k—$267k
p25 · target · p75 · n=800
Posted $180k · in the market band
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Job description
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 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.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: $124000 - $180000 (USD) + 60% bonus target + equity + benefits
Learn more about benefits at Google.
US: $124000 - $180000 (USD) + 60% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Develop strategic partnerships to advance measurement maturity for customers by collaboratively establishing a clear road map for execution and translating complex concepts into clear stories for business stakeholders.
- Evolve full funnel strategy by setting the required foundation and infrastructure for measurement needed to advance and maximize value. Consult on incrementality experiments, attribution and Marketing Mix Modeling (MMM).
- Build trusted relationships with internal and external stakeholders, work with cross-site and cross-functional teams to drive short and long-term account growth, and partner with sales and product teams to identify data driven business growth opportunities.
- Educate, drive influence, and build relationships with stakeholders through measurement subject matter knowledge.
- Analyze large datasets and distill them into actionable insights that are presented in a logical and compelling story.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in consulting, corporate strategy, technology sales, data analytics, performance marketing, business analysis, product strategy, or a related technical field.
Preferred qualifications:
- Experience uncovering compelling insights, building narratives, and scaling thought leadership.
- Experience and a point of view on omni-channel (store/online/app) and Google products.
- Strong project management and client-facing experience, delivering high-profile projects and influencing executive stakeholders while collaborating with cross-functional teams.
- Knowledge and understanding of Google's core advertising products (e.g., YouTube, Google Ads, Google Analytics).
- Deep knowledge of measurement including experience with MMM analysis and calibration, incrementality experiment design, store visits, and store sales.
- Exceptional written and verbal communication skills, with the ability to present complex technical information to both technical and non-technical audiences.
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