Embark on a strategic journey as an Analytics Lead with our Large Customer Sales team, where you'll be the pivotal link between data-driven intelligence and impactful business decisions. Our dedicated LCS professionals collaborate with the world's most influential advertisers, empowering them to achieve substantial growth through the strategic utilization of Google Ads.

In this dynamic role, you will function as a high-level strategic consultant, guiding advertisers through the intricate landscape of digital measurement. You'll engage with senior stakeholders to embed data signals that optimize ad return on investment, meticulously design experiments, implement sophisticated modeling techniques, and ultimately demonstrate the tangible value of advertising expenditures. Your ability to translate statistical insights into compelling narratives will shape the future trajectory of the advertising industry.

Partner closely with Google Sales teams to cultivate and manage strategic relationships with enterprise clients, developing insightful measurement and 'learning agendas' that directly enhance business outcomes.

Navigate a sophisticated network of client engagements, liaising with agencies, brands, and internal stakeholders to champion the adoption of Google’s measurement objectives.

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

Collaborate effectively with Product and Research and Development (R&D) teams to identify and advocate for features crucial to the next generation of Google's measurement tools. Lead client pilot programs for alpha and beta products, rigorously demonstrating their proven effectiveness.

Become an industry educator by championing Google’s measurement strategy. Author impactful White Papers on advancements in Direct Response (DR) and performance marketing techniques. Skillfully distill complex technical findings into actionable insights tailored for audiences ranging from data scientists to C-suite executives.

A Bachelor's degree or equivalent practical experience is foundational for this role.

Minimum of 5 years of professional experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis is required.

Demonstrated expertise in measurement techniques is essential, 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 SQL, Python, or R is a key requirement.

Candidates with 1 year of experience in marketing measurement, attribution techniques (such as offline measurement, MMM, MTA, attribution), and familiarity with Google advertising products (e.g., Google Ads, Google Analytics, Google Marketing Platform) are preferred.

Client-facing experience, with a proven ability to influence stakeholders across various organizational levels, is highly advantageous.

Familiarity with SQL, databases, and fundamental automation techniques, including dashboard creation, automating custom reports, and materializing tables, is beneficial.

The capacity to analyze extensive datasets, distill them into clear insights, and present them through logical and engaging narratives is crucial.

Exceptional written and verbal communication skills are necessary to deliver simple, compelling stories to diverse audiences.

Preferred candidates will possess 1 year of client-facing experience, with a demonstrated ability to influence across various levels. Knowledge of SQL, databases, and basic automation techniques (e.g., dashboards, automating custom reports, materializing tables) is also valued. The ability to analyze large datasets and distill them into insights presented in a logical and engaging story is a key asset, alongside excellent written and verbal communication skills for delivering simple and engaging stories to audiences of all levels.