Entry-Level Data Analyst

RedLine Freight Services; Oslo; On-site; NOK 156,000 - 187,000; Full time

Benefits offered by this job

Visa sponsorship available for non-EU

Growth opportunities

Collaborative work environment

Health benefits

Job summary

RedLine Freight Services in Oslo, Norway is seeking an Entry-Level Data Analyst to help collect, clean, and interpret data sets, supporting decision-making across teams. You will work with large datasets and create reports and visualizations to inform business strategies.

The role emphasizes attention to detail, strong communication, and learning in a collaborative environment. Visa sponsorship is available for non-EU citizens, with a competitive salary and health benefits.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics or related field
• Knowledge of SQL, Excel, and statistical analysis software (R or Python)
• Strong analytical skills with attention to detail and accuracy
• Excellent communication skills to present complex information clearly

Responsibilities

• Collaborate with teams to identify data needs and develop data collection methods
• Clean, organize, and validate large datasets
• Use statistical methods to analyze and interpret data
• Create reports and visualizations to present findings to stakeholders
• Identify patterns and trends in data to inform business strategies
• Continuously monitor data quality and make recommendations for improvements

Skills

SQL

Excel

R

Python

Education

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

Job description

Entry-Level Data Analyst

Os, Norway

We are looking for a passionate and detail-oriented Entry-Level Data Analyst to join our team in Os, Norway. As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting large data sets to provide valuable insights and support decision-making processes.

This is a full-time position with a salary of 1600$ per month.

Responsibilities

• Collaborate with teams to identify data needs and develop data collection methods
• Clean, organize, and validate large datasets
• Use statistical methods to analyze and interpret data
• Create reports and visualizations to present findings to stakeholders
• Identify patterns and trends in data to inform business strategies
• Continuously monitor data quality and make recommendations for improvements

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics or related field
• Knowledge of SQL, Excel, and statistical analysis software (such as R or Python)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Excellent communication skills with the ability to present complex information in a clear and concise manner
• Experience working with large datasets is preferred but not required

Benefits

• Visa sponsorship available for non-EU citizens
• Opportunity for growth and advancement within the company
• Collaborative work environment with supportive colleagues
• Competitive salary package including health benefits