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Job Description
How you will contribute
With over 700 employees, Takeda Neuchâtel is one of the ten largest employers in the Canton of Neuchâtel and one of the leading biopharmaceutical production sites in Switzerland. Operating 24 hours a day, 7 days a week, the site
employs a wide range of professionals trained in biotechnologies and their
application in industrial production.
With more than twenty nationalities, Takeda Neuchâtel offers an international, diverse and innovative working environment within a company that is firmly rooted and committed to its local ecosystem.
Takeda Neuchâtel is certified as a training company by the Swiss State Secretariat for Economic Affairs. We train young apprentices in various fields such as laboratory quality control, logistics, IT and biopharmaceutical production.
“Empowering our people to shine”
Takeda is proud of its commitment to creating a diverse workforce and
providing equal employment opportunities to all employees and job applicants without regard to skin colour, religion, gender, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status or any other characteristic protected by law.
Locations
CHE - Neuchatel
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time
Job Description
How you will contribute
- Analyze large datasets to identify trends, patterns, and insights focused on site/ function priorities and needs leveraging GMS/GQ-endorsed platforms
- Conduct exploratory data analysis and data mining to uncover opportunities for process optimization and feature improvements.
- Perform A/B testing and statistical analysis to assess the impact of changes and features on digital products.
- Ensure data accuracy and reliability in all analysis activities through validation checks and collaboration with data engineers and GMS/GQ data ecosystem
- Develop and maintain dashboards and reports, delivering actionable near real-time insights and drive user engagement leveraging GMS/GQ-endorsed platforms.
- Create intuitive data visualizations and presentations that effectively communicate findings to stakeholders and support data-driven decision-making.
- Ensure data consistency and integrity across all visualizations, adhering to best practices and aligning with global data standards
- Partner with global and local teams to integrate site data into a unified data ecosystem, driving standardization and reducing data fragmentation.
- Lead efforts to raise analytics standards through participation in communities of practice, promoting best practices, re-use and scalability in data analysis and visualization across the network.
- Champion data literacy and analytical thinking within the site
- Align site visualization and analytical needs through multi-year roadmaps
- Contribute to SAFe processes, supporting agile, efficient delivery of scalable data solutions across teams.
- Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, or equivalent experience in data analytics.
- Proficiency in data analysis tools and programming languages (e.g., SQL for querying databases, Python for statistical analysis and automation, JS/Typescript for FrontEnd).
- Experience with data visualization tools (e.g., Power BI) and the ability to translate complex data into clear, actionable insights through effective data storytelling.
- Experience in no/low code data science/ intelligent automation platforms (e.g., Dataiku, DataRobot, PowerAutomate) to scale data science workflows and automate processes.
- Experience with data governance practices to ensure data quality by design
- Strong understanding of digital product metrics, user behavior analysis, A/B testing, and leveraging these insights to drive product optimization and user engagement.
- Proven ability to collaborate effectively with cross-functional teams, including data translators and business stakeholders, to align data science initiatives with strategic objectives.
- Competitive salaries.
- Full accident coverage.
- Participation in health insurance premiums.
- Advantageous pension plans.
- Subsidised meals.
- Financial participation in employee sports activities.
- Transport support for local public transport passes, free parking, car sharing programme.
- Takeda Neuchâtel offers its employees an attractive working environment and conditions. The well-being, safety, development and career advancement of its employees are at the heart of our vision and our Human Resources, Health, Environment and Safety policies.
- Takeda Neuchâtel is an employer committed to its employees and to future generations.
With over 700 employees, Takeda Neuchâtel is one of the ten largest employers in the Canton of Neuchâtel and one of the leading biopharmaceutical production sites in Switzerland. Operating 24 hours a day, 7 days a week, the site
employs a wide range of professionals trained in biotechnologies and their
application in industrial production.
With more than twenty nationalities, Takeda Neuchâtel offers an international, diverse and innovative working environment within a company that is firmly rooted and committed to its local ecosystem.
Takeda Neuchâtel is certified as a training company by the Swiss State Secretariat for Economic Affairs. We train young apprentices in various fields such as laboratory quality control, logistics, IT and biopharmaceutical production.
“Empowering our people to shine”
Takeda is proud of its commitment to creating a diverse workforce and
providing equal employment opportunities to all employees and job applicants without regard to skin colour, religion, gender, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status or any other characteristic protected by law.
Locations
CHE - Neuchatel
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time
Key Skills
Ranked by relevance
c
ha
ai
data analysis
lan
nat
data visualization
scala
git
sla
das
pan
ui
kf
storytelling
data mining
typescript
power bi
python
sql
eop
cis
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Login to Apply
- Posted
- Nov 29, 2024
- Type
- Full-time
- Level
- Entry
- Location
- Neuchâtel
- Company
- Takeda
Industries
Pharmaceutical Manufacturing
Categories
Information Technology
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3 roles aligned with this opportunity
View Job Details
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Machine Learning Engineer II
2026-05-23
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Engineering
View Job Details
Related
Junior Data Engineer
2026-05-25
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Information Technology
View Job Details
Related
Backend Engineer
2026-05-28
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Engineering