Data Mining Analyst — Turn Data Into Action in Svalbard

AlSafe Finance Kuwait; Svalbard; On-site; NOK 155,000 - 186,000; Full time

Benefits offered by this job

Accommodation provided

Visa sponsorship

Job summary

AlSafe Finance Kuwait is seeking a Data Mining Analyst in Svalbard to collect, analyze, and interpret large data sets, identifying patterns to inform business decisions. You will develop models and visualizations, and collaborate with cross-functional teams to deliver actionable insights.

The role requires a Bachelor’s degree in CS or Statistics, experience with SQL, Python or R, and strong analytical and communication skills.

Qualifications

• Bachelor’s degree in CS or Statistics or related field.
• Experience as Data Mining Analyst or similar role.
• Proficient in SQL, Python, or R for data analysis.
• Strong analytical thinking with ability to interpret complex datasets.
• Excellent communication of findings to stakeholders.

Responsibilities

• Utilize advanced data mining techniques to identify patterns and trends in large datasets.
• Develop algorithms and models to extract information from raw data.
• Collaborate with cross-functional teams to understand business needs and provide actionable insights.
• Present findings and recommendations through visualizations and reports.
• Continuously monitor and improve data quality, ensuring accuracy and completeness.
• Stay up-to-date with industry developments and new data mining technologies.

Skills

Analytical thinking

Data interpretation

Communication skills

Machine learning basics

Statistical methods

Education

Bachelor's degree in Computer Science or Statistics

Tools

SQL

Python

R

Job description

AlSafe Finance Kuwait is seeking a Data Mining Analyst in Svalbard to collect, analyze, and interpret large data sets, identifying patterns to inform business decisions. You will develop models and visualizations, and collaborate with cross-functional teams to deliver actionable insights.

The role requires a Bachelor’s degree in CS or Statistics, experience with SQL, Python or R, and strong analytical and communication skills.