Analytical Consultant, Fixed Term Contract, LCS (English)

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.
  
• Experience analyzing datasets to deliver insights.
• Experience influencing and advising senior leaders, delivering outcomes in a client-facing or consulting role.
• Ability to communicate in English fluently to support client relationship management.

Preferred qualifications:

• 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.).
• Experience in retail, travel or tech industry.
• Knowledge of SQL, databases, and basic automation techniques (e.g., dashboards, automating custom reports, materializing tables).
  
• Understanding of performance and brand advertising.
• Ability to analyze large datasets and distill them into actionable insights that are presented in a logical and compelling story.
  
• Ability to communicate in Portuguese fluently to support client relationship management.

About the job

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 your 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 Consultant in LCS, you drive data-driven decision-making for our customers and for our teams. You achieve this by assessing customer needs, leading comprehensive analysis, and activating insights through compelling pitches. You operate as customer-centric sales analysts, dedicating significant time to direct engagement with our customer stakeholders and align with our internal stakeholders.

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.

Responsibilities

• Provide support and consulting on client's/partner’s strategy in the areas of sales, marketing and/or product development, and translate data into answers to business questions and/or insights to facilitate business decision-making.
  
• Develop and own analytical modeling for key client/partner projects, apply and/or customize analytical tools (e.g., dashboards) and frameworks to identify opportunities, 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.