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CRM Data Analyst
CRM Data Analyst-November 2024
Milan
Nov 21, 2024
ABOUT PUBLICIS SAPIENT
Publicis Sapient uses strategy, consulting, experience, engineering, and a culture of problem-solving creativity, to help our clients thrive.
10,000+ employees
Consulting, Technology
VIEW COMPANY PROFILE >>
About CRM Data Analyst

  Description

  CRM Data Analyst | Job description

  Main Tasks and activities

  Performance analysis of digital and CRM campaigns, with a focus on lead management and conversion KPIs;Analysis of the customer base, through the formulation of behavioral scores and business-driven indices to guide strategic decisions;Collect data from internal and external sources, organize and structure it in order to clean up databases, correcting any errors in data collection and storage systems;Create reports and documents with the results of the analyzes to be presented to internal stakeholders

  Additional Information

  Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients' businesses through designing the products and services their customers truly value.

  Company Description

  CRM Data Analyst | Job description

  Main Tasks and activities

  Performance analysis of digital and CRM campaigns, with a focus on lead management and conversion KPIs;Analysis of the customer base, through the formulation of behavioral scores and business-driven indices to guide strategic decisions;Collect data from internal and external sources, organize and structure it in order to clean up databases, correcting any errors in data collection and storage systems;Create reports and documents with the results of the analyzes to be presented to internal stakeholders

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