\\n The Data Analyst (a) will deploy a global best in class, collaborative, agile and real-time regional and differentiated distribution network delivering a \"Unique Customer and Patient Experience\" and be mainly responsible for the following task areas:

• Providing to operational teams metrics on performance to support them to deploy innovative best practices on distribution and warehousing processes and systems
• Designing and implementing analytical solutions to support operational teams and facilitate their internal and external performance dialogue processes
• Acting as Subject Matter Expert for data and digital topics related to warehousing metrics and performance calculation, including data domain ownership
• Consolidating warehousing metrics to be centrally reported and utilized by operational teams
• Supporting QBRs and RFI/RFQs preparation by building, maintaining and refreshing dashboards used to measure 3PLs metrics and performance
• Analyzing large warehousing data sets to determine patterns, trend, insights for continuous improvements with OpUs and Business Units
• Providing support and solutions to reporting and analytical needs raised by operational teams and ensure alignment between all involved teams
• Preparing all data for monthly budget variance analysis (includes trend analysis)
• Ensuring warehousing related data is reported accurately and timely

Globally operating pharmaceutical company|Temporary assignment for the next 14 months

In order to be considered for the role, the selected candidate must have:

• Bachelor\\\'s degree in Data Science, Statistics, Computer Science, or a related field. A Master\\\'s degree is a plus.
• Proven experience as Data Analyst
• Excellent knowledge of data analysis and visualization solutions (PowerBI, Qlik)
• Good knowledge of programming languages such as python, SQL or R
• Familiarity with statistical analysis and data modelling techniques
• Good business acumen & financial analytics skill
• Ability to present ideas with clarity, conviction and confidence in English

Additional advantages:

• Knowledge of logistics & distribution processes - especially in pharmaceutical industry - is a plus
• Knowledge of manufacturing and commercial processes & procedures is a plus
• Knowledge of Good Distribution Practices (GDP) requirements is a plus

Our client, an internationally renowned pharmaceutical company is recruiting. On its behalf we are now looking for Data Analyst - Warehousing Operations (a) starting asap for Zurich area, to join an international team for a period of 14 months. Hybrid work model.

Depending on the selected candidate\\\'s performance and motivation, there is the possibility of an extension or a permanent take over.

The selected candidate will be part of a dynamic team and actively contribute to shape, develop, and drive the department for success! Hybrid working model.\\n \\n \\n \\n \\n \\n

\\n\\n Michael Page\\n \\n\\n

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