Data-mining vacancy in Triesen Liechtenstein

Data Mining Analyst


We are seeking a skilled Data Mining Analyst to join our growing team in Triesen. As a Data Mining Analyst, you will be responsible for gathering, analyzing, and interpreting large datasets to identify patterns and trends that will help inform business decisions. This role requires a strong understanding of data mining techniques and tools, as well as the ability to communicate findings in a clear and concise manner.

Responsibilities:
- Use data mining techniques to extract relevant information from large datasets
- Analyze data for patterns and trends
- Develop models and algorithms to identify patterns and make predictions
- Create reports and visualizations to communicate findings to stakeholders
- Collaborate with cross-functional teams to understand business needs and provide data-driven insights
- Continuously monitor and improve the quality of data used for analysis

Requirements:
- Bachelor's degree in Computer Science, Mathematics, or related field
- Minimum of 2 years experience in data mining or related role
- Proficiency in SQL, Python, or other programming languages commonly used for data analysis
- Strong analytical skills with the ability to translate complex data into actionable insights
- Excellent communication skills with the ability to present findings to non-technical stakeholders
- Attention to detail and ability to work with large datasets

Salary:
$1500 per month.

Location:
Triesen, Liechtenstein.

Employment Type:
Contract.

Accommodation:
This is a contract position without accommodation provided.

Nationality Preference:
This job is suitable for individuals of any nationality who are legally authorized to work in Liechtenstein.

Gender Preference:
This job is suitable for both men and women. Biometric passport is required.

Language Requirement:
Fluency in English is required for this role. Knowledge of other languages such as German would be an asset.

We welcome all qualified candidates who meet the requirements stated above. If you are passionate about using data to drive business decisions and thrive in a collaborative environment, then we encourage you to apply for this exciting opportunity.