About the Role
We are seeking a talented and driven Data Analyst to support our clients across various industries. In this role, you will transform data into actionable insights that drive innovation and efficiency.
As a Data Analyst, you will work closely with business stakeholders and technical teams to identify problems, develop data-driven solutions, and deploy predictive models in real-world environments. You will be exposed to a wide range of challenges, from customer analytics and process optimization to forecasting, anomaly detection, and NLP.
Responsibilities:
* Understand client challenges and translate them into data science use cases and solutions.
* Explore, clean, and analyze large and complex data sets using statistical and machine learning techniques.
* Build, test, and deploy predictive models and data products using modern data science tools and frameworks.
* Communicate findings clearly to technical and non-technical audiences through visualizations, dashboards, and reports.
* Collaborate with data engineers and domain experts to ensure models are scalable, maintainable, and integrated into production environments.
* Stay up to date with emerging technologies and methodologies in the field of AI and data science.
* Document methodologies, experiments, and code to ensure transparency and reproducibility.
Required Skills and Qualifications
* Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related field.
* Proficiency in Python or R, and strong experience with libraries such as pandas, scikit-learn, TensorFlow, PyTorch, or similar.
* Solid knowledge of statistical modeling, machine learning, and data visualization.
* Experience working with SQL and data stored in relational databases or data lakes.
* Familiarity with cloud platforms (AWS, Azure, GCP) and version control systems (e.g., Git).
* Fluent in English (C1 level or higher).
* Willingness to travel and work on-site at client locations throughout Switzerland.
Key Competencies
* Strong problem-solving skills with a curious and analytical mindset.
* Ability to communicate technical concepts in a clear and engaging way.
* Experience working in cross-functional teams with business and technical stakeholders.
* Focused on value creation and real-world impact.
* Organized, detail-oriented, and proactive.