Data-mining vacancy in Herning Denmark

Data Mining Analyst

We are currently seeking a highly motivated and detail-oriented Data Mining Analyst to join our team in Herning. As a Data Mining Analyst, you will be responsible for collecting, organizing, and analyzing large datasets to identify patterns and trends. You will work closely with our team of data scientists and business analysts to provide insights and recommendations to drive business decisions. This is a contract position with the potential for full-time employment based on performance.

Responsibilities:
- Collecting, cleaning, and organizing large datasets from various sources
- Conducting data mining techniques such as clustering, regression analysis, and pattern recognition
- Developing algorithms and models to generate insights from data
- Collaborating with data scientists and business analysts to identify trends and patterns in data
- Communicating findings and recommendations to stakeholders in a clear and concise manner

Requirements:
- Bachelor's degree in Computer Science, Statistics, Mathematics or related field
- Proficiency in SQL and experience with data mining tools such as Python or R
- Strong analytical skills with the ability to collect, organize, analyze, and present complex data sets
- Familiarity with machine learning techniques is a plus
- Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders

Salary: $1500/month

Location: Herning (Open for nationalities)

This is an entry-level position suitable for candidates without prior experience. However, candidates with previous experience in data mining or related fields will be given preference.

If you are passionate about working with big data and have a keen eye for identifying patterns and trends, this is the perfect opportunity for you. Apply now as this is an urgent requirement! Note that we do not provide visa sponsorship for this position.

We value diversity in our workplace and welcome applicants from all backgrounds. Join us in shaping the future of our company through advanced data analysis!