Data Mining Analyst

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

Data Mining Analyst

We are seeking a highly skilled Data Mining Analyst to join our team in Copenhagen. In this role, you will be responsible for extracting valuable insights and patterns from large datasets using various data mining techniques. You will work closely with our data science and business intelligence teams to identify trends, create predictive models, and provide actionable recommendations to drive business growth.

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 understand business needs and provide actionable recommendations based on data insights
• - Clean, organize, and manipulate data for analysis purposes
• - Communicate findings and results through clear visualizations and reports

Requirements:

• - Bachelor's or Master's degree in Data Science, Statistics, Mathematics, or a related field
• - Minimum of 2 years of experience in data mining or a similar role
• - Extensive knowledge of SQL, Python, R or other programming languages used for data manipulation
• - Experience with machine learning techniques such as regression, classification, clustering, etc.
• - Strong analytical skills with the ability to interpret complex datasets
• - Excellent communication skills with the ability to present findings to non-technical stakeholders
• - Attention to detail and ability to work independently

Salary: $1400/month (negotiable based on experience)

Location: Copenhagen (no remote work option)

Employment Type: Full-time

Visa Sponsorship: Not available. Candidate must have own valid work visa for Denmark.

Accommodation: Not provided.

This is an urgent job opportunity. We are looking for a candidate who can start immediately.

If you have a passion for data analysis and enjoy working with large datasets to uncover valuable insights, we would love to hear from you!