Analytical Lead Planning And Measurement Large Customer Sales

Minimum qualifications:

• Bachelors degree or equivalent practical experience.
  
• 2 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis in a customer-facing role.

Preferred qualifications:

• Experience in statistical analysis and data visualization and with SQL, R, or Python.
• Experience presenting insights to senior stakeholders and influencing decision-making.
• Understanding of digital advertising metrics, methodologies, and technologies including attribution, geo-experiments, incrementality and online-to-offline measurement.
• Understanding of Online Commerce, Social Commerce platforms and Ecosystem in South East Asia.
• Familiarity with Googles measurement products (Google Ads, Google Analytics, Firebase) and leading third-party platforms.
• Strong communication, analytical, and problem-solving skills.

About the job:

Businesses of all shapes and sizes rely on Google’s unparalleled advertising solutions to help them grow in todays 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.

The Planning & Measurement team at Google is a critical part of our advertising business, ensuring that our clients understand the value and impact of their campaigns. We're searching for a passionate and experienced Analytical Lead to join our team and help drive better measurement practices across a portfolio of clients in e-commerce, gaming and travel.

In this role, youll be a trusted advisor and consultant, working closely with both internal teams and external clients to develop and implement robust measurement strategies. You will leverage Googles cutting-edge data and technology to provide actionable insights that improve advertising effectiveness and drive business results. Googles Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the worlds 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 Googles full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, youll 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:

• Build strong relationships with key client stakeholders, understanding their business objectives and measurement needs. Partner closely with Google Sales teams, Product teams, and Engineering teams to ensure alignment and drive product innovation.
• Craft media plan guidance (across performance and brand) in accordance with customer business objectives. Stay aware of industry trends and best practices in measurement, sharing knowledge and insights with clients and internal stakeholders through presentations, workshops, and thought leadership content.
• Develop customized measurement frameworks and roadmaps for clients, encompassing a range of methodologies and Googles measurement solutions
• Conduct in-depth analysis of campaign performance data, leveraging statistical techniques and causal inference to uncover meaningful insights and recommendations.
• Design and execute A/B and multivariate tests to optimize campaign performance and demonstrate the value of different media channels and strategies.

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