Data Analyst

SafeHarbor Logistics; Oslo fylke; Presencial; NOK 391.000 - 614.000; A tiempo parcial

Descripción de la vacante

SafeHarbor Logistics is seeking a Data Analyst to join its expanding team in Os, Norway. This part-time role focuses on collecting, organizing, and interpreting large data sets to reveal patterns and support business decisions.

You will create reports and presentations for stakeholders, with potential transition to full-time as the company grows. Strong Excel skills and data analysis software knowledge are preferred; no prior experience is required.

Formación

• Degree in mathematics, statistics, computer science or related field is preferred but not required.
• Proficiency in Microsoft Excel and other data analysis software is preferred.
• Strong analytical mindset with ability to collect, organize and interpret large data sets.
• Experience with data visualization tools is a plus.

Responsabilidades

• Collect, organize and interpret large data sets to identify patterns and insights.
• Create reports and presentations for stakeholders to inform business decisions.
• Analyze data to inform operational improvements and strategy.
• Communicate findings clearly to non-technical audiences.

Conocimientos

Data analysis

Excel proficiency

Data visualization tools

Communication skills

Educación

Degree in mathematics, statistics, or computer science (preferred)

Herramientas

Data visualization software

Descripción del empleo

Data Analyst

We are in search of a detail-oriented and analytical Data Analyst to join our growing team in Os, Norway. The ideal candidate will have a strong understanding of data analysis techniques and experience with data visualization tools. As a Data Analyst, you will be responsible for collecting, organizing, and interpreting large sets of data to identify patterns and provide insights to inform business decisions. You will also be responsible for creating reports and presentations to present your findings to various stakeholders. This position requires strong communication skills and the ability to work independently as well as part of a team. A degree in mathematics, statistics, computer science, or a related field is preferred but not required. This is a part-time position with the potential for full-time employment in the future. Candidates of all genders are encouraged to apply. No prior work experience is required, but proficiency in Microsoft Excel and other data analysis software is preferred. Join our dynamic team and make an impact through data!

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