Senior Data Analyst Business Partner (all genders) Senior Data Analyst Business Partner (all genders)

Merck (Darmstadt HE, Deutschland) Vor 1 Tag veröffentlicht

A career at our company is an ongoing journey of discovery: our 58,000 people are shaping how the world lives, works and plays through next generation advancements in Healthcare, Life Science and Electronics. For more than 350 years and across the world we have passionately pursued our curiosity to find novel and vibrant ways of enhancing the lives of others.

Your role:

As the key business partner for data analytics, you'll be embedded in an exciting and agile business environment with an opportunity to transform our Process Solutions business !

The main responsibilities include Translating business questions into analytics use cases: you will work with cross-functional teams of internal experts to identify use cases for (advanced) data analytics. You will prepare effective use case briefings (concept, business case, and stakeholder-aligned roadmap) to ensure robust pipeline prioritization within PS as well as effective alignment with the Analytics Center of Excellence. You will create and/or leverage data analysis and modeling techniques to leverage the existing data catalog or build new data sets to drive critical insights and emerging trends from a range of sources to guide and enable the PS organization to make data-driven decisions and meet varied business goals. You will actively manage PS portfolio of analytics use cases, driving implementation within cross-staffed project teams. You will establish effective insights communication and reporting pipelines to both technical and non-technical audiences using context-sensitive data visualization tools. You will develop educational pathways for data users/use case requestors as well as for assigned projects to ensure that our PS business partners utilize existing business tools like Palantir/Foundry and the corresponding data to their optimum potential and are fully aware of the benefits and impact of implemented programs and use cases, across the geographies. You will investigate, identify, and socialize data management, analytics, reporting, and visualization trends. You will proactively contribute to data quality and stewardship efforts within the PS organization as well as company-wide initiatives driven by our company's Data Office (MDO).

Who you are:

  • Bachelor’s degree in Computer Science, Mathematics, Business Intelligence, or similar with 8+ years of experience, or Master’s degree with 3+ years of experience, in an industry setting (preferably in Pharma/Biopharma/Life Sciences), including successful exp. with large datasets in a big data environment
  • +2 years exp. in big data platforms and data visualization design, tools, and techniques (e.g. Foundry, Tableau, Power BI)
  • Exp. in writing computer programs and analyzing large datasets (Java, R, Python, and/or SQL) preferred
  • Exp. in algorithms and predictive analytics systems along with data pipelines preferred
  • Exp. working with cloud database technologies (Amazon Web Services or Google Cloud/Website Analytics) preferred
  • A good understanding of the foundations of machine learning/ AI will be appreciated
  • Sense of confidentiality, well-structured and disciplined, able to drive change and work with multiple stakeholders in a global matrix environment
  • Strong business orientation with data-driven recommendations to all levels of the organization, critical thinking
  • Fluent English skills

What we offer:  With us, there are always opportunities to break new ground. We empower you to fulfil your ambitions, and our diverse businesses offer various career moves to seek new horizons. We trust you with responsibility early on and support you to draw your own career map that is responsive to your aspirations and priorities in life. Join us and bring your curiosity to life!

Curious? Apply and find more information at https://jobs.vibrantm.com


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Senior Data Analyst Business Partner (all genders) Senior Data Analyst Business Partner (all genders)

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