Data Mining Analyst — Flexible Hours, Growth & Visa Support

Qatar Wellness Network; Herning; On-site; DKK 66,000 - 79,000; Full time

Benefits offered by this job

Competitive salary

Full-time with flexible hours

Accommodation provided

Career growth within company

Visa support

Job summary

Qatar Wellness Network in Herning, Denmark, is seeking a Data Mining Analyst to collect, organize, and analyze large data sets to uncover patterns and trends that drive strategic business decisions across departments. You will work with cross-functional teams to develop data-driven solutions, build mining models, and present clear findings with recommendations.

The role requires a strong analytical mindset, problem-solving skills, attention to detail, and proficiency in SQL and Python or R, plus

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics or related field
• 2+ years of experience in data mining or related role
• Strong knowledge of SQL and programming languages such as Python or R
• Experience with data visualization tools such as Tableau or Power BI
• Knowledge of machine learning techniques is a plus
• Excellent analytical skills with the ability to manipulate and interpret complex datasets

Responsibilities

• Collect and organize large sets of data from various sources
• Develop and implement data mining models and algorithms
• Identify patterns and trends in the data to provide actionable insights
• Collaborate with cross-functional teams to understand business needs and develop data-driven solutions
• Present findings and recommendations in a clear and concise manner
• Continuously monitor data quality to ensure accuracy and reliability

Education

Bachelor's degree in Data Science, Statistics, Mathematics or related field

Tools

SQL

Python

R

Tableau

Power BI

Job description

Qatar Wellness Network in Herning, Denmark, is seeking a Data Mining Analyst to collect, organize, and analyze large data sets to uncover patterns and trends that drive strategic business decisions across departments. You will work with cross-functional teams to develop data-driven solutions, build mining models, and present clear findings with recommendations.

The role requires a strong analytical mindset, problem-solving skills, attention to detail, and proficiency in SQL and Python or R, plus