Commercial Data Analyst - temp. assignment, min 12 months (100%) | Basel

  • Location
    Basel, Basel City
  • Category
    Chemistry, Pharma, Biotech
  • Contract Type
  • Educational Requirements
    Master / University
  • Industry
    Pharma / Life Sciences / Chemistry / Science
  • External Reference

For an international company in the global agribusiness market in Basel we are looking for a

Commercial Data Analyst - temp. assignment, min 12 months (100%)


  • 80% data diagnostic and analysis, 20% data strategy
  • The job holder will be responsible for handling data analysis opportunities to support the commercial function
  • The job holder ensures that Data quality and business insights generated from the data comply with business rules defined by commercial stakeholders
  • Provide accurate and concise results with recommendations to management, synthesize data across functions/departments
  • Data Cleaning, data integration & Installing and configuring the analytics components of the solution
  • Developing predictive models based on business requirements
  • Validating model performance and presenting model results to business
  • Train business teams to use the analytics solution
  • The job holder will be the connection between the commercial function and the internal data scientist team
  • Support global “track and trace" program as analytics lead for commercial related use cases
  • Review existing global analytics libraries and propose scaling approach, structure and tools
  • View on basic and advanced sales analytics: Further scale and develop analytics to unlock potential of our sales team with the help of SFDC in selected markets
  • View on basic and advanced product analytics: Look at the existing analytics and propose use of data enhancements to the global PPD (post patent defense) and NPI (new product introduction) process

Your skills & experiences

  • Bachelors/masters ideally in a technical/STEM field
  • Around 3 to 4 years of experience working on advanced analytics/data science initiatives
  • Good grasp on statistics, machine learning algorithms and methodologies, and their implementation using a programming tool such as R or Python
  • Experience working with real-world large-scale, high dimensional data sets, ETL techniques, SQL programming and working with databases
  • Proficient in data visualization and the use of BI tools such as QlikSense, Power BI, Tableau or Spotfire
  • Ability to understand the business processes well, in addition to the technical skills
  • Excellent communication skills to present findings to our stakeholders in an impactful manner
  • Demonstrated ability to work both independently and within a team environment
  • Fluent in written and spoken English
  • Advanced Excel skills for quick ad-hoc analyses
  • Experience in deploying machine learning models/pipelines (such as through AWS Sagemaker)
  • Awareness of Customer Life cycle and Sales funnel process

Your contact

Herr Fabio Antonelli, Deputy Branch Manager, looks forward to answer your questions by phone 061 323 07 45.

You can apply directly online.

Please mention reference 138-FAAN-165163-2313-EN in your application.