Senior Analytical Lead, Large Customer Sales
Job Description
- Experience with marketing measurement and attribution
- Knowledge of SQL and automation techniques
- Client-facing experience
- 8+ years experience in relevant field
- Data analysis and presentation skills
- Client relationship management
- Collaboration with sales teams
- Google Ads & Analytics expertise
- Bonus
- Equity
- Benefits
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
Preferred qualifications:
- 1 year of experience with marketing measurement and attribution techniques (e.g., offline measurement, MMM, MTA, attribution) and Google advertising products (e.g., Google Ads, Google Analytics, Google Marketing Platform, etc).
- 1 year of client-facing experience, with a track record of influencing across levels.
- Knowledge of SQL, databases, and basic automation techniques (e.g., dashboards, automating custom reports, materializing tables).
- Ability to analyze large datasets and distill them into actionable insights that are presented in a logical and compelling story.
- Strong written and verbal communication skills with comfort delivering simple and compelling stories.
About the job
Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google's key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.
Our Large Customer Sales teams partner closely with many of the world’s biggest advertisers and agencies to develop digital solutions that build businesses and brands. We enjoy a bird’s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We're uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google's broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences.
The US base salary range for this full-time position is $114,000-$169,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .
Responsibilities
- Provide support and consulting on client's/partner’s strategy in the areas of sales, marketing or product development, and translate data into answers to business questions or insights to facilitate business decision-making.
- Develop and own analytical modeling for key client/partner projects, apply or customize analytical tools (e.g., dashboards) and frameworks to identify opportunities, and develop solutions to optimize client/partner business and maximize the use and effectiveness of Google products.
- Collaborate with sales teams to drive business growth with clients/partners, conduct in-depth analysis and identify business opportunities, and support the development of go-to-market business pitch and marketing collateral.
- Build and manage relationships with client/partner stakeholders across functions and levels, and own the relationship with the data/analytical stakeholders on the client’s/partner’s side.
