Part-Time Data Mining Analyst — Predictive Modeling

AdventureRecruit UAE; Vejle; On-site; DKK 108,000 - 130,000; Part time

Benefits offered by this job

Accommodation

Job summary

AdventureRecruit UAE in Vejle, Denmark is seeking a Data Mining Analyst to join our team on a part-time basis. You will gather and analyze large datasets, identify patterns, and build predictive models to inform business decisions.

Applicants should have a strong background in statistics, mathematics or computer science, plus experience with R or Python, SQL, and data mining techniques. We offer accommodation options and a supportive, diverse work environment.

Qualifications

• Bachelor's degree in statistics, mathematics, computer science or related field.
• Proven experience working with data mining tools such as R or Python.
• Knowledge of predictive modeling techniques such as regression analysis or decision trees.
• Familiarity with databases and SQL queries.
• Strong analytical skills with the ability to interpret complex datasets.
• Excellent communication skills and ability to present findings to non-technical stakeholders.

Responsibilities

• Collaborate with various departments to understand their data needs
• Gather and clean large datasets from various sources
• Use data mining tools and techniques to discover patterns and trends
• Develop predictive models based on historical data
• Communicate findings to stakeholders through presentations and reports
• Continuously monitor data quality and make recommendations for improvement

Skills

Data analysis

Statistical thinking

Communication

Presenting to stakeholders

Education

Bachelor's degree in statistics, mathematics, computer science or related field

Master's degree in statistics, mathematics, computer science or related field

Tools

R

Python

SQL

Hadoop

Spark

Job description

AdventureRecruit UAE in Vejle, Denmark is seeking a Data Mining Analyst to join our team on a part-time basis. You will gather and analyze large datasets, identify patterns, and build predictive models to inform business decisions.

Applicants should have a strong background in statistics, mathematics or computer science, plus experience with R or Python, SQL, and data mining techniques. We offer accommodation options and a supportive, diverse work environment.