Data Mining Analyst — Insights in Svalbard (Accom, Visa)

AlSafe Finance Kuwait; Svalbard; On-site; NOK 151,000 - 181,000; Full time

Benefits offered by this job

Accommodation provided

Visa sponsorship available

Job summary

AlSafe Finance Kuwait in Svalbard is seeking a Data Mining Analyst to collect, analyze, and interpret large datasets, identify patterns, and deliver insights to inform business decisions.

You will use advanced data mining techniques, develop models, collaborate with cross-functional teams, present findings with visualizations, ensure data quality, and stay current with industry trends. Visa sponsorship is available for international candidates, and accommodation is provided.

Qualifications

• Bachelor's degree in CS, Statistics or related field.
• Proven experience as Data Mining Analyst or similar.
• Proficient in SQL, Python, R or other data analysis languages.
• Strong analytical thinking and ability to interpret complex datasets.
• Knowledge of ML algorithms and statistical methods.
• Excellent communication skills to present findings clearly.

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 technologies in data mining

Skills

SQL

Python

R

Analytical thinking

Data interpretation

Education

Bachelor's degree in Computer Science, Statistics or related field

Tools

SQL

Python

R

Job description

AlSafe Finance Kuwait in Svalbard is seeking a Data Mining Analyst to collect, analyze, and interpret large datasets, identify patterns, and deliver insights to inform business decisions.

You will use advanced data mining techniques, develop models, collaborate with cross-functional teams, present findings with visualizations, ensure data quality, and stay current with industry trends. Visa sponsorship is available for international candidates, and accommodation is provided.