Data and Measurement Specialist, People with Disabilities

26 ago - Milano
EmployAbility

The Data and Measurement Specialist role focuses on driving growth for large advertisers by integrating deep expertise in online media with advanced marketing measurement. Working as part of the Large Customer Sales team, these specialists collaborate closely with sales departments to advise leading brands and agencies. Their primary focus is to help clients build solid Data Foundations and measure the effectiveness of their media through "Modern Measurement" solutions, which include attribution, incrementality, and marketing mix modeling. By turning these insights into actionable strategies, they ensure that advertisers can meet their specific business goals and maximize the impact of their digital presence.

This company's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. Continuously challenging how customers think about their business and how this company can support growth.



We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling the full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of the 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.

Responsibilities:
- Consult with advertisers and agency partners to understand their measurement goals and assess how measurement products can effectively address their needs.
- Develop and activate measurement strategies including data foundations, incrementality experiments, marketing mix modeling, full funnel measurement, and attribution to prove the value of advertising to our client's business.
- Define and execute incrementality experiments In Platform and or measuring causality with available Google Open Source methodologies (e.g. causal

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