Analytics Lead I, Large Customer Sales

Google

5 yrs Gurugram, Bengaluru Full Time Hybrid (office + remote)
Google logo
Posted : today
Actively hiring

Job description

Join our Large Customer Sales team as an Analytics Lead, where you'll be instrumental in transforming data-driven insights into business-driving strategies. You will empower sophisticated advertisers to enhance their growth through the strategic application of Google Ads. This role demands a strategic consultant who can guide advertisers through the complexities of digital measurement, implement data signals to boost ad ROI, design experiments, and employ advanced modeling to demonstrate the value of advertising investments. As a storyteller, you will leverage statistics to shape the future of the advertising industry.

Our Large Customer Sales (LCS) teams are recognized as strategic partners and industry thought leaders for leading global brands and agencies. We challenge conventional business thinking and explore how Google can foster growth. Our focus is on assisting these key players in navigating significant industry shifts and achieving exceptional business performance by effectively marketing Google's comprehensive suite of advertising solutions across Search, YouTube, Measurement, and other platforms. As a member of our LCS team, you will have the unique chance to operate at the cutting edge of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that profoundly impact major global businesses and fuel Google's expansion.

Responsibilities

Collaborate closely with Google Sales teams to cultivate strategic relationships with enterprise clients. Develop and manage measurement frameworks and 'learning agendas' designed to improve business outcomes.

Oversee a multifaceted client relationship ecosystem, engaging with agencies, brands, and internal stakeholders to promote the adoption of Google's measurement objectives.

Design and execute comprehensive custom analyses and ad-effectiveness studies to accurately quantify the impact of diverse marketing strategies across various platforms and media channels.

Work in tandem with Product and Research and Development (R&D) teams to identify key features for the next generation of Google tools. Spearhead client pilots for alpha and beta products, substantiating their effectiveness through data.

Educate the industry on Google’s measurement strategies. Contribute to the development of White Papers on advancements in Direct Response (DR) and performance marketing techniques. Effectively distill intricate technical findings into clear, actionable insights for a wide range of audiences, from data scientists to C-suite executives.

Qualifications

A Bachelor's degree or equivalent practical experience is required.

Possess at least 5 years of professional experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.

Demonstrate experience with various measurement techniques, including A/B Testing, Causal Inference, Randomized Controlled Trials (RCTs), Geo experiments, Marketing Mix Modeling (MMM), or Multi-Touch Attribution (MTA).

Proficiency in data querying and analysis using tools such as SQL, Python, or R.

While not mandatory, 1 year of experience with marketing measurement and attribution techniques (e.g., offline measurement, MMM, MTA, attribution) and familiarity with Google advertising products (e.g., Google Ads, Google Analytics, Google Marketing Platform) is advantageous.

One year of client-facing experience, with a proven ability to influence stakeholders across various organizational levels, is preferred.

Familiarity with SQL, databases, and basic automation techniques, such as building dashboards, automating custom reports, and materializing tables, is a plus.

Exhibit a strong capacity to analyze large datasets and synthesize them into compelling, logical, and engaging insights.

Possess excellent written and verbal communication skills, with the ability to convey simple yet impactful stories to diverse audiences.

Essential Skills

SQLPythonRA/B TestingCausal InferenceRandomized Controlled Trials (RCTs)Geo experimentsMarketing Mix Modeling (MMM)Multi-Touch Attribution (MTA)Media AnalyticsAdvertising SalesDigital MediaMarketingFinancial AnalysisMeasurement Techniques

Good to Have

Google AdsGoogle AnalyticsGoogle Marketing PlatformDatabasesAutomationDashboardsCustom ReportsMaterializing Tables

Highlights

  • Actively hiring

More Details

RoleAnalytics Lead I, Large Customer Sales
IndustryAdvertising, Marketing, Technology
DepartmentData & Analytics
Employment TypeFull Time, Hybrid (office + remote)

About the Company

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