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RedLine Freight Services

, , Denmark / Global

Data Analyst (Part-time)

  • kr.98.000 - kr.118.000
  • Deltid

Job Summary

Salary Range:
kr.98.000 - kr.118.000
Job Type:
Deltid
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Job Description

City Faroe Islands Country DenmarkFaroe Islands preference Salary $1500month negotiable We are currently seeking a highly motivated and detail-oriented Data Analyst to join our team on a part-time basis in Faroe Islands The ideal candidate will have a strong background in data analytics with an understanding of statistical analysis and experience in data visualization tools This role will involve working with large datasets to identify trends and patterns as well as providing insights and recommendations to drive business decisions

Responsibilities Conducting data analysis using various tools and techniques

Developing and maintaining dashboards for data visualization

Identifying trends and patterns in large datasets

Communicating insights and recommendations to stakeholders

Collaborating with cross-functional teams to understand business needs

Continuously monitoring data quality and identifying areas for improvement

Requirements Bachelors degree in Data Analytics, Statistics, Computer Science or related field

Strong understanding of statistical analysis methods

Experience with data visualization tools such as Tableau or Power BI

Proficiency in SQL for querying large datasets

Excellent attention to detail and problem-solving skills

Ability to work independently as well as collaboratively in a team environment

Preferred Experience working with biometric passport data or other sensitive information

Familiarity with programming languages such as Python or R

Prior experience in a similar role or industry

Knowledge of database management systems

If you are passionate about using data to drive business decisions have a strong analytical mindset and enjoy working in a dynamic team environment we would love to hear from you This is an exciting opportunity for someone looking to make an impact in the field of data analytics while having the flexibility of part-time work

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