---
title: Analytical Lead, Government Advocacy, Large Customer
description: Google is hiring for the Analytical Lead, Government Advocacy, Large Customer
  Sales role in Washington, DC. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/analytical-lead-government-advocacy-large-customer-sales-at-google-01a17e2f-a444-7651-908f-367ea109d510
date: 2026-11-15T01:26:44Z
og_description: Join Google as Analytical Lead, Government Advocacy, Large Customer Sales in Washington,
  DC. Pays $88K–$124K per year.
og_image: https://www.foundrole.com/og/g9g72a.png
breadcrumbs:
  - label: Home
    url: https://www.foundrole.com/
  - label: Search
    url: https://www.foundrole.com/jobs
---

| | |
|---|---|
| **Company** | [Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) |
| **Location** | Washington, DC |
| **Salary** | $88K/yr - $124K/yr |
| **Posted** | Oct 27, 2026 |

## Is this job real?

**Ghost job check:** A- · Low risk. Probably a real opening.

## Visa sponsorship

- **H-1B:** Google sponsors H-1B visas. It filed 9,179 H-1B petitions (FY2026 Q1 – FY2026 Q4).
- **E-Verify:** No E-Verify enrollment on record for Google.

## Pay for similar jobs

Most similar jobs pay $166,000 – $202,000 a year (median $167,000).

## 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.  

As an Analytical Lead, you will be accountable for measurement solution design and providing data-driven sales recommendations aligned with the customer's marketing objectives. You will establish modern measurement frameworks that will prove the value of Google's media and quantify the impact of AI Innovation through experimentation. You will drive executive influence by articulating the business value of testing and coordinate the efforts of external and internal resources to accelerate usage of recommended measurement techniques to drive better media outcomes. In this critical role, you will maximize the value of Google media and enable mutual growth for Google and largest public sector and non-profit customers.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: $88000 - $124000 (USD) + 35% bonus target + equity + benefits  

Learn more about [benefits at Google](https://www.google.com/about/careers/applications/benefits/).

- Partner with sales teams to link media performance metrics to core customer business outcomes, ensuring clients believe in and understand the impact of Google media.
- Drive growth by developing the measurement strategy and analytical methods (A/B tests, Marketing Mix Modeling (MMM), and Multi-Touch Attribution (MTA)) to optimize client use of Google products.
- Collaborate with sales teams to drive business growth with clients/partners and support the development of go-to-market business pitch and marketing collateral.
- Navigate customer ambiguity and policy complexities.
- Educate, influence, and build relationships with relevant stakeholders.

### Minimum qualifications:

- Bachelor's degree or equivalent practical experience.  
- 2 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.  

### Preferred qualifications:

- Experience with effectiveness measurement such as Incremental lift, Brand lift, Attribution, A/B testing, Marketing Mix Models and bespoke campaign effectiveness studies.
- Experience using Google's measurement suite products, website analytics platforms (Google Analytics) and brand analysis techniques.
- Demonstrated analytical background and experience with marketing analytics, return on investment/financial modeling, and statistical analysis.
- Strong knowledge of the advertising landscape, across all kinds of media channels and methods of buying.
- Demonstrated understanding and experience with spreadsheet software and presentation applications.
- Ability to analyze large datasets and translate them to a few actionable insights.

- Bachelor's degree or equivalent practical experience.  
- 2 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.  
## Skills

- Return On Investment
- Marketing Collateral Development
- Analytics
- Customer Success Management
- Analytical Skills
- A/b Testing
- Purchasing
- Go-to-Market Strategy
- Agile Velocity
- Statistical Analysis
- Financial Modeling
- Statistics
- Financial Analysis
- Marketing Mix Modeling
- Digital Media
- Store Presentation
- Marketing Mix
- Google Analytics
- Brand Lift Measurement
- Sales
- Marketing Analytics

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