Data Mining Analyst

NextSolutions; Denmark; On-site; DKK 80,000 - 108,000; Full time

Benefits offered by this job

Competitive salary

Full-time position

Job summary

NextSolutions in Greenland is seeking a Data Mining Analyst to join our team. You will collect, analyze and interpret large data sets to identify patterns and trends, supporting data-driven decisions.

You will work with data scientists and IT to develop data models and algorithms, and you should be proficient in SQL and Python with a strong understanding of databases and data warehousing. This full-time role offers a competitive USD salary.

Qualifications

• Experience in data mining and statistical analysis.
• Proficient in SQL and Python.
• Strong understanding of data warehousing and databases.
• Ability to work independently with attention to detail.

Responsibilities

• Collect, analyze and interpret large data sets to identify patterns and trends.
• Collaborate with data scientists and IT to build data models and algorithms.
• Translate insights into actionable business decisions.
• Maintain data quality and documentation.

Skills

Data mining

Statistical analysis

SQL

Python

Job description

We are hiring a skilled Data Mining Analyst to join our team in Greenland

As a Data Mining Analyst you will be responsible for collecting analyzing and interpreting large sets of data to identify patterns and trends

You will work closely with our data scientists and IT team to develop data models and algorithms that will help drive business decisions

The ideal candidate will have experience in data mining statistical analysis and programming languages such as SQL and Python

A strong understanding of database structures and data warehousing is also required

To excel in this role you must have excellent analytical skills attention to detail and the ability to work independently

Experience with biometric passport data is preferred but not required

This position is open to all genders

We offer a competitive salary of $1300 USD per month for a full-time role