Insight-Driven Data Mining Analyst (Copenhagen)

SpeedLine Logistics UAE; København; On-site; DKK 95,000 - 114,000; Full time

Job summary

SpeedLine Logistics UAE in Copenhagen seeks a Data Mining Analyst to extract insights from large datasets and build predictive models guiding business decisions. You will work with data science and BI teams to translate complex data into actionable recommendations.

The role requires strong SQL, Python or R skills, plus experience in data mining, analytics, and clear communication with non-technical stakeholders. On-site position with immediate start.

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, or a related field.
• 2+ years of experience in data mining or a similar role.
• Proficient in SQL, Python, R or other data manipulation languages.
• Experience with ML techniques such as regression, classification, clustering.
• Strong analytical skills and ability to present findings clearly to non-technical stakeholders.
• Detail-oriented and able to work independently.

Responsibilities

• Develop and implement data mining strategies to extract insights from large datasets.
• Conduct exploratory data analysis to identify patterns and trends.
• Create predictive models using statistical tools and machine learning algorithms.
• Collaborate with cross-functional teams to translate data insights into actionable recommendations.
• Clean, organize, and manipulate data for analysis and reporting.
• Communicate findings through clear visualizations and reports.

Skills

Data mining

SQL

Python

R

Machine learning

Analytical skills

Communication

Independent work

Attention to detail

Education

Bachelor's or Master's in Data Science/Statistics/Math

Tools

SQL

Python

R

Job description

SpeedLine Logistics UAE in Copenhagen seeks a Data Mining Analyst to extract insights from large datasets and build predictive models guiding business decisions. You will work with data science and BI teams to translate complex data into actionable recommendations.

The role requires strong SQL, Python or R skills, plus experience in data mining, analytics, and clear communication with non-technical stakeholders. On-site position with immediate start.