Your Role: You would join the Customer & Business Insights team which is part of the Customer and Sales Excellence WE within the Life Science SLS EMEA Commercial organization.
As Customer & Business Insights Expert, you will work in close collaboration with the SLS WE Customer and Sales Excellence, SLS EMEA Sales Leadership Team, IT, and Process Excellence translating all the business requirements into technology requirements, starting from the evaluation and definition of the data, creating database solutions, developing and designing technical solutions, tools, and dashboards.
You'll be fully responsible for all activities related to data architecture in order to develop technical projects as well as support the commercial strategies.
The purpose of this role is to design, deliver, and lead data modeling to enable Commercial and Customer Excellence reporting, insights, predictive analytics, and generative AI.
Specific responsibilities include: Create insightful reporting and dashboards for the commercial organization to increase efficiencies.Act as Business Partner, working collaboratively with the Commercial and Customer Excellence organization to understand their needs, and design scorecards and dashboards to support them to drive performance and improve CSAT.Work directly with Commercial and CaSE Management to support them in data analytics topics.Utilize predictive analytics methods to support the development of fact-driven management strategies.Develop analytics tools in Tableau and Palantir Big Data environment.Evaluate and interpret data, focusing on predictive analytics and insights to support business needs.Execute or drive projects as needed and recommend and deliver process improvements.Drive, participate, or propose improvement actions and projects to support the Customer Excellence teams and ensure best-in-class performance.Document any process changes according to ISO guidelines.Act as a role model according to our HIC values to successfully drive change throughout the Customer Excellence organization.Who you are: Bachelor's degree in Statistics, Data Analytics, Computer Science, or related field.Proficient in MS Office, SAP Business Objects, Tableau, CRM (Salesforce.com), Palantir, KNIME, or similar.Proficient in SQL, R, Python, PySpark, and VBA.
Advanced proficiency in Excel functions such as complex formulas, macros, and Power Pivots.Proficient in extracting, formatting, validating, and analyzing large data sets.
Experience designing, building, reviewing, and maintaining high-quality data sets in a lean manner.Experience using big data analytics applications and programs such as R preferred.A sound knowledge of written and spoken English and Spanish.
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