Data-mining vacancy in Balzers Liechtenstein

Data Mining Analyst



Our company, located in Balzers, is seeking a highly skilled and experienced Data Mining Analyst to join our team. As a Data Mining Analyst, you will be responsible for collecting, analyzing, and interpreting large datasets to identify valuable insights and trends. You will work closely with our data engineering team to develop and maintain data mining processes and algorithms.

Responsibilities:
- Collect, clean, and preprocess large datasets from various sources
- Analyze complex data sets using statistical methods and machine learning techniques
- Develop and maintain data mining processes and algorithms for continuous improvement
- Identify patterns and trends in data to provide valuable insights for decision making
- Communicate findings to stakeholders in a clear and concise manner
- Collaborate with cross-functional teams to understand business needs and provide solutions

Requirements:
- Bachelor's degree in Computer Science, Mathematics, Statistics or related field
- Minimum of 3 years experience as a Data Mining Analyst or similar role
- Proficiency in SQL, Python, R or other programming languages used for data analysis
- Experience with data visualization tools such as Tableau or Power BI
- Strong understanding of statistical methods and machine learning techniques
- Excellent problem-solving skills with the ability to think critically and analytically
- Good communication skills with the ability to present complex information in a simple manner

Salary:
We offer a competitive salary of $1100 per month for this position.

Location:
This position is located in Balzers but we welcome candidates from all nationalities.

Remote Work:
This position requires on-site work at our office in Balzers. Remote work options are not available at this time.

Accommodation:
We do not provide accommodation for employees. Candidates must arrange their own accommodation if needed.

If you are passionate about data analysis and have a strong background in statistics and programming, we encourage you to apply for this exciting opportunity. Join our team and be a part of driving data-informed decisions in our company.