Data-mining vacancy in Roskilde Denmark

Data Mining Analyst

We are in search of a skilled Data Mining Analyst to join our dynamic team in Roskilde. As a Data Mining Analyst, you will be responsible for extracting, analyzing, and interpreting large datasets to uncover valuable insights and trends. You will work closely with cross-functional teams to identify business needs and provide data-driven solutions.

Requirements:
- Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
- Minimum of 2 years of experience in data mining, data analysis, or a similar role
- Proficiency in SQL and Python
- Strong analytical skills with the ability to identify patterns and trends within large datasets
- Experience with data visualization tools such as Tableau or Power BI
- Knowledge of machine learning algorithms is a plus
- Excellent communication skills and the ability to present complex data in a clear and concise manner

Responsibilities:
- Collecting, cleaning, and organizing large datasets from various sources
- Identifying relevant variables and creating appropriate data models for analysis
- Conducting statistical analysis to identify patterns and trends within the data
- Developing algorithms for predictive modeling and machine learning applications
- Creating visualizations and reports to communicate findings to stakeholders
- Collaborating with cross-functional teams to understand business needs and provide actionable insights

Salary: This is a full-time position with a salary of $1700 per month.

Location: This position is based in Roskilde but remote work options may be available.

Experience Required: A minimum of 2 years of experience in data mining or related field is required.

Accommodation: Accommodation may be provided for candidates relocating for this position.

Visa Sponsorship: Visa sponsorship may be available for qualified candidates.

This is an urgent job posting. We encourage all qualified candidates to apply as soon as possible. Join our team today and help us make informed decisions through data-driven insights!