Insights-Driven Data Analytics Specialist

SkyCrew; Kolding; On-site; DKK 92,000 - 125,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Professional development opportunities

Job summary

SkyCrew in Kolding seeks a Data Analytics Specialist to collect, analyze and interpret large data sets to drive business decisions. You will work with multiple departments to define KPIs and develop tracking methods, delivering reports and dashboards that communicate insights clearly.

The ideal candidate has a degree in a relevant field and hands-on experience with SQL, Python or R, and with data visualization tools such as Tableau or Power BI.

Qualifications

• Bachelor's degree in a related field.
• Proven experience in Data Analyst or Business Analyst roles.
• Strong knowledge of SQL and database management.
• Experience with statistical analysis tools such as R or Python.
• Proficiency with data visualization tools (Tableau/Power BI).
• Excellent communication and ability to present complex information clearly.

Responsibilities

• Collect, organize and analyze large data sets from various sources.
• Identify patterns and trends to inform business decisions.
• Develop methods for tracking key performance indicators.
• Create reports and visualizations to communicate data insights.
• Collaborate with cross-functional teams to gather requirements and provide data-driven recommendations.
• Monitor data quality and implement improvements.
• Stay up-to-date with analytics tools and techniques.

Skills

SQL

Python

R

Tableau

Power BI

Data Visualization

Communication

Independent Work

Cross-functional collaboration

Education

Bachelors degree in Computer Science/Mathematics/Statistics or related field

Job description

SkyCrew in Kolding seeks a Data Analytics Specialist to collect, analyze and interpret large data sets to drive business decisions. You will work with multiple departments to define KPIs and develop tracking methods, delivering reports and dashboards that communicate insights clearly.

The ideal candidate has a degree in a relevant field and hands-on experience with SQL, Python or R, and with data visualization tools such as Tableau or Power BI.