Analytical Lead, Travel

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 5 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
  
• Experience in digital advertising, digital analytics, measurement and attribution.

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.
  
• Excellent written and verbal communication skills with comfort delivering simple and compelling stories to audiences of all levels.

About the job

As an Analytical Lead, you are a trusted advisor to large customers and agencies, using data-driven insights to solve clients'growth issues and achieve their business goals. You will serve as the Google owner of clients’ marketing measurement plans and a key partner to Google's ad sales teams, who will work to bring the best of Google's advertising solutions to their customers. You will have an investigative background with experience in marketing analytics or statistical analysis. You're able to refine complex situations into a few actionable insights. You will help clients modernize their marketing measurement by adopting best practices in proving media effectiveness. You will be an expert in the intersection of incrementality, Marketing Mix Modeling (MMM), and attribution. You will use user behavior insights, customer segmentation, and Google internal data to devise marketing strategies that drive successful results.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.
The US base salary range for this full-time position is $108,000-$154,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 benefits at Google.
The US base salary range for this full-time position is $108,000-$154,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 benefits at Google.

Responsibilities

• Prove the value of Google media via the triangulation of incrementality experiments, MMM, and attribution as an expert.
• Use predictive and statistical modeling techniques to solve issues, uncover opportunities, and develop solutions for client business. Help customers navigate industry standards and alternatives.
• Seek out key decision-makers, challenge the status quo, and influence decisions by telling stories with data, both visually and verbally. Foster and own client relationships, including marketing/advertising, analytics, finance, and corporate strategy.
• Partner with internal and external product, research, data, and measurement teams to