Data Mining Analyst: Turn Big Data into Insights

WaveSolutions; Esbjerg; On-site; DKK 80,000 - 120,000; Full time

Benefits offered by this job

Visa sponsorship

Relocation ticket to Esbjerg

Job summary

WaveSolutions in Esbjerg, Denmark is seeking a Data Mining Analyst to analyze large datasets, identify patterns, and deliver actionable insights to support business decisions. You will collect, clean, and organize data and present findings to cross-functional teams.

The ideal candidate has a Bachelor's in Data Science or a related field, hands-on experience with data mining, statistics, ML, and strong skills in SQL, Python or R, plus Tableau or Power BI, and clear communication.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, or related field.
• Proven experience in data mining, statistical analysis, or related roles.
• Proficiency in SQL, Python, R or other programming languages for data analysis.
• Familiarity with Tableau or Power BI for visualizing data.
• Knowledge of machine learning techniques such as regression, clustering, and decision trees.

Responsibilities

• Collect, clean, and organize large datasets from various sources.
• Use data mining tools and techniques to identify patterns and trends in the data.
• Develop statistical models to analyze data and make predictions.
• Create visualizations and reports to effectively communicate findings.
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
• Continuously monitor the performance of models and make improvements as needed.

Skills

Data mining

SQL

Python

R

Tableau/Power BI

Statistics

Machine learning

Communication

Education

Bachelor's degree in Data Science/Statistics or related field

Tools

Tableau

Power BI

Job description

WaveSolutions in Esbjerg, Denmark is seeking a Data Mining Analyst to analyze large datasets, identify patterns, and deliver actionable insights to support business decisions. You will collect, clean, and organize data and present findings to cross-functional teams.

The ideal candidate has a Bachelor's in Data Science or a related field, hands-on experience with data mining, statistics, ML, and strong skills in SQL, Python or R, plus Tableau or Power BI, and clear communication.