Data-mining vacancy in Herning Denmark

Data Mining Analyst


As a Data Mining Analyst in our company, you will be responsible for extracting relevant information from large datasets and using advanced techniques to analyze and interpret the data. Your main goal will be to identify patterns, trends, and insights that can help improve business processes, strategies, and decision-making.

Key Responsibilities:
- Utilize data mining tools and techniques to extract information from large databases
- Develop algorithms and models to analyze data and identify patterns and trends
- Conduct statistical analysis on the data and present findings in clear and concise reports
- Collaborate with cross-functional teams to understand business needs and provide data-driven solutions
- Continuously monitor data quality, identify any issues, and implement solutions for improvement
- Stay up-to-date with industry trends and advancements in data mining techniques

Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics or a related field
- Proven experience as a Data Mining Analyst or similar role
- Advanced knowledge of SQL, Python, R or other programming languages used for data analysis
- Strong understanding of statistical concepts such as regression analysis, clustering, etc.
- Experience with data visualization tools such as Tableau or Power BI is a plus
- Ability to work independently as well as in a team environment
- Excellent analytical skills with attention to detail

Location:
Herning offers a vibrant city life with plenty of cultural events, restaurants, cafes, shopping opportunities and outdoor activities. The city is also home to many international companies offering great career opportunities.

Salary:
We offer a competitive salary of $900 per month along with a free visa and ticket for the right candidate.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity or expression. Come join our team of talented professionals and make an impact through your data mining skills!