Data Analyst

Nexavision Inc.; Bergen; On-site; NOK 165,000 - 198,000; Full time

Job summary

Nexavision Inc. in Bergen is seeking a Data Analyst to collect, analyze, and interpret large datasets to identify trends and drive business decisions. You will create data models and visualizations to communicate findings and collaborate with cross-functional teams to deliver data-driven insights.

The role requires strong SQL knowledge, proficiency in Python or R, and excellent communication skills to present complex results succinctly. The position is based in Bergen with an on-site work setup.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Computer Science or a related field.
• Proven experience as a Data Analyst or similar role.
• Strong knowledge of SQL databases and data visualization tools (e.g. Tableau).
• Proficiency in programming languages such as Python or R.
• Experience with statistical analysis techniques (regression, clustering, etc.)
• Excellent analytical skills with the ability to collect, organize, analyze, and interpret large datasets.
• Attention to detail and accuracy is essential.
• Strong communication skills with the ability to present complex findings in a simple manner.
• Ability to work independently as well as collaboratively in a team environment.

Responsibilities

• Collect and organize large datasets from various sources
• Utilize statistical methods to analyze data and identify patterns and trends
• Develop data models and visualizations to communicate findings
• Collaborate with cross-functional teams to understand business needs and provide data-driven insights
• Identify areas for improvement in data collection, analysis, and reporting processes
• Present findings and recommendations in a clear and concise manner

Skills

SQL

Python

R

Statistical analysis

Data visualization

Communication skills

Education

Bachelor's degree in Mathematics/Statistics/CS or related

Tools

Tableau

SQL

Job description

Data Analyst

We are seeking a highly skilled and detail-oriented Data Analyst to join our team in Bergen. As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting large datasets to identify trends and insights that will drive business decisions. This role requires excellent analytical skills, attention to detail, and the ability to communicate complex findings to non-technical stakeholders.

Key Responsibilities

• Collect and organize large datasets from various sources
• Utilize statistical methods to analyze data and identify patterns and trends
• Develop data models and visualizations to communicate findings
• Collaborate with cross-functional teams to understand business needs and provide data-driven insights
• Identify areas for improvement in data collection, analysis, and reporting processes
• Present findings and recommendations in a clear and concise manner

Requirements

• Bachelor's degree in Mathematics, Statistics, Computer Science or a related field
• Proven experience as a Data Analyst or similar role
• Strong knowledge of SQL databases and data visualization tools (e.g. Tableau)
• Proficiency in programming languages such as Python or R
• Experience with statistical analysis techniques (regression, clustering, etc.)
• Excellent analytical skills with the ability to collect, organize, analyze, and interpret large datasets
• Attention to detail and accuracy is essential
• Strong communication skills with the ability to present complex findings in a simple manner
• Ability to work independently as well as collaboratively in a team environment

Salary

We offer a competitive salary of 1700$ per month for this position.

Location

This position is based in Bergen. Candidates must be able to work without accommodation provided.

Visa Sponsorship

We are open to sponsoring work visas for qualified candidates who require them. Please note that this is subject to immigration laws of the country.

We are an equal opportunity employer committed to creating an inclusive workplace where all employees feel valued and respected. We do not discriminate based on race, religion, color, national origin, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability.