Insightful Data Analytics Specialist (Remote)

NexaVision; Kolding; Hybrid; DKK 74,000 - 141,000; Full time

Job summary

NexaVision in Kolding, Denmark, is seeking a Data Analytics Specialist to analyze complex data sets and provide insights to the organization. You will develop analytics strategies and create visualizations to communicate findings to stakeholders.

Based in Kolding with the option for remote work, the role involves collaborating with cross-functional teams, ensuring data quality, and staying updated on analytics advances.

Qualifications

• Bachelor's degree in Data Science, Computer Science or related field.
• Minimum 2 years of experience in a similar role.
• Proficiency in SQL, Python or R for data analysis.
• Experience with Tableau or Power BI for data visualization.
• Excellent communication skills to present findings to non-technical stakeholders.
• Experience with large datasets and databases; attention to detail.

Responsibilities

• Analyze large complex data sets using various tools and techniques
• Develop and implement data analytics strategies to support business objectives
• Identify trends, patterns and correlations within the data that can provide valuable insights
• Create visualizations and reports to communicate findings to stakeholders
• Collaborate with cross-functional teams to gather requirements and provide solutions
• Continuously monitor data quality and integrity to ensure accuracy of analyses
• Stay updated on industry developments and advancements in data analytics techniques

Skills

Analytical skills

Communication skills

Data storytelling

Education

Bachelor's degree in Data Science

Tools

SQL

Python

R

Tableau

Power BI

Job description

NexaVision in Kolding, Denmark, is seeking a Data Analytics Specialist to analyze complex data sets and provide insights to the organization. You will develop analytics strategies and create visualizations to communicate findings to stakeholders.

Based in Kolding with the option for remote work, the role involves collaborating with cross-functional teams, ensuring data quality, and staying updated on analytics advances.