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Open nowPosted 2 days ago

Senior Consultant/Assistant Manager-Data Analytics Life Sciences

KPMG AG

Where
Zürich, ZH, Switzerland
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Your applicationOpen nowSenior Consultant/Assistant Manager-Data Analytics Life SciencesKPMG AG · Zürich, ZH, Switzerland

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.5%14 days
  5. 35.5%30 days
  6. 45.1%60 days
This job: posted 2 days ago

The posting

Your contribution to KPMG ##

* Lead defined workstreams in strategy and technology-enabled transformation engagements for pharmaceutical, biotech, and MedTech clients.

* Structure complex business questions, develop hypotheses and analyses, and translate findings into clear recommendations, roadmaps and value cases for the life science sector.

* Engage confidently with client stakeholders across business and technical functions, facilitate workshops and maintain alignment on priorities and decisions.

* Translate business objectives and user needs into clear requirements, process designs and specifications for data, analytics, AI and digital solutions.

* Collaborate with technical specialists and contribute hands-on to solution design, data analysis, testing and implementation where relevant.

* Support proposals, client development and the expansion of KPMG relationships across the Life Sciences sector.

* Contribute to reusable offerings, market insights and team capability building at the intersection of Life Sciences, strategy and technology.

This is what makes you successful ##

* Master's degree in Life Sciences, engineering, data science, business administration, or a related discipline.

* Typically 3-5 years of relevant experience in consulting or within pharma, biotech, MedTech or healthcare, with exposure to strategy, transformation or technology-enabled delivery.

* Strong understanding of the Life Sciences value chain and the ability to engage credibly with business, scientific, operational and technology stakeholders.

* Proven ability to structure ambiguous problems, develop practical recommendations and communicate complex topics clearly to senior audiences.

Posting text belongs to the employer. Removal requests: contact us.

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