Student Data Mining Analyst (Part-Time)

Charm Connect; Oslo; On-site; NOK 161,000 - 183,000; Part time

Job summary

Charm Connect in Oslo, Norway, is seeking a Data Mining Analyst for a part-time contract role suitable for students. You will collect, organize, and analyze large data sets to identify patterns and inform project decisions, working closely with the team to define data extraction strategies.

The position offers hands-on experience in data mining with flexible hours; requires enrollment in relevant degree and skills in SQL and Python, plus attention to detail and good communication.

Qualifications

• Currently enrolled in a degree program related to data analytics, statistics, or computer science.
• Strong understanding of statistical concepts and methods used in data mining.
• Proficient in SQL, Python, or other programming languages for data analysis.
• Experience working with large datasets and using database management systems.
• Excellent attention to detail and ability to work independently.
• Strong communication skills, both written and verbal.

Responsibilities

• Collect and organize large amounts of data from various sources
• Use advanced software tools to mine data and identify patterns
• Create reports and visualizations to present findings in a clear and concise manner
• Collaborate with the team to develop effective data mining strategies
• Continuously monitor and analyze data quality to ensure accuracy and reliability

Skills

Analytical thinking

Strong communication

Attention to detail

Independent worker

Education

Data analytics program

Tools

SQL

Python

Database management systems

Job description

Charm Connect in Oslo, Norway, is seeking a Data Mining Analyst for a part-time contract role suitable for students. You will collect, organize, and analyze large data sets to identify patterns and inform project decisions, working closely with the team to define data extraction strategies.

The position offers hands-on experience in data mining with flexible hours; requires enrollment in relevant degree and skills in SQL and Python, plus attention to detail and good communication.