Entry Level Data Analyst with Visa & Accommodation

GreenHarvest Industries; Alta; On-site; NOK 113,000 - 169,000; Full time

Benefits offered by this job

Accommodation

Visa support

Job summary

GreenHarvest Industries in Alta, Norway is seeking an Entry Level Data Analyst to join our data analytics team. You will work with large datasets to identify trends, create visualizations, and report insights to stakeholders.

The role is full-time with a salary of 1000$ and includes accommodation and visa support for the right candidate. You will collaborate with team members to develop data-driven solutions and monitor data quality for improvements.

Qualifications

• Bachelor's degree in mathematics, statistics, computer science or related field.
• Proficiency in data analysis tools such as SQL, Excel, Python or R.
• Strong analytical skills with attention to detail.
• Ability to work independently as well as collaboratively in a team environment.
• Excellent communication skills to present complex findings clearly.

Responsibilities

• Collect, clean and organize large datasets from various sources.
• Use statistical methods to analyze data and identify trends and patterns.
• Create visualizations and reports to communicate findings to stakeholders.
• Collaborate with team members to develop data-driven solutions.
• Continuously monitor data quality and recommend improvements.

Skills

SQL

Excel

Python or R

Analytical thinking

Communication skills

Education

Bachelor's degree in mathematics, statistics, computer science or related field

Tools

Tableau

Power BI

AWS

Azure

Cloud computing

Job description

GreenHarvest Industries in Alta, Norway is seeking an Entry Level Data Analyst to join our data analytics team. You will work with large datasets to identify trends, create visualizations, and report insights to stakeholders.

The role is full-time with a salary of 1000$ and includes accommodation and visa support for the right candidate. You will collaborate with team members to develop data-driven solutions and monitor data quality for improvements.