Data Analyst Analytics For Fresh Graduate

• Generates new insights into our R&D Portfolio Data thus enabling optimal steering of R&D Resources and prioritization of R&D projects within the R&D Pipeline.
• Works collaboratively on a global level with interdisciplinary scientists IT and engineering professionals across the R&D and IT organization as well as external partners to support and enable data driven decisions for R&D.
• Supports R&D to deliver high quality data for Pipeline decision making

• Compiles R&D Project and Portfolio related data from various sources and data types prepares and curates the data where needed and visualizes the results as a basis for decisions.
• Develops sustainable consumable accurate and impactful data reporting solutions.
• Autonomously prepares and presents compelling validated analysis results to all levels of organization including peers management and internal customers to drive both strategic and operational changes in business.
• Ensures high quality master and reference data strives for standardization in that area and supports the R&D Organization with data maintenance in our project and portfolio tools Assesses the needs of automation in data stewardship and data analytics projects design and implement sustainable automation solutions.
• Partners with other team members in Data Analytics related usecases leading them from analysis of requirements to final implementation.
• Consults and skills up the organization with Data Analytics knowledge Effectively networks with the Data Science Community builds crossfunctional relationships and stays abreast of emerging technologies in that area

• Bachelor s degree with 01 years of experience or Master s degree with 2 years experience or PhD in Statistics Bioinformatics Data Science Computational Biology or related discipline or a comparable applied computational science or life sciences degree.
• Good experience in the following tools required for this position: Python or R Tableau or Spotfire SQL.
• Demonstrates strong proficiency in data analytics methods (e.g. data preparation data curation data visualization) building automated data science workflows and data analytics solutions using Python Tableau or Spotfire.
• Strong proficiency in relational Database technologies (e.g. Oracle) and query languages (SQL) required Intermediate Proficiency in Cloud Database Technologies e.g. Google Big Query.
• Experience in automating dataflows and processes using e.g. the Microsoft Power Platform Knime Tableau Prep etc.

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