Part-Time Data Analyst: Insight-Driven & Flexible Hours

EcoFarm Solutions; Aalborg; On-site; DKK 81,000 - 111,000; Part time

Job summary

EcoFarm Solutions in Aalborg, Denmark is seeking a part-time Data Analyst to collect, analyze and interpret large datasets and provide actionable insights. The role suits someone with strong analytical skills and experience with SQL, Python or R, and data visualization tools.

You will create reports for stakeholders, monitor data quality, and collaborate with the team to support data-driven decision making while maintaining flexibility for students or professionals seeking additional income.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Computer Science, or related field.
• Proven experience as a Data Analyst or similar role.
• Strong knowledge of SQL databases and programming languages such as Python or R.
• Familiarity with data visualization tools e.g. Tableau, Power BI.
• Excellent analytical skills with the ability to collect, organize, analyze and disseminate large amounts of information with attention to detail.
• Ability to work independently with minimal supervision.
• Strong communication skills.

Responsibilities

• Collect and organize large datasets from various sources.
• Analyze data using statistical methods and visualization tools.
• Identify patterns, trends and correlations within the data.
• Create reports and presentations to communicate findings to stakeholders.
• Collaborate with team members to support data-driven decision making.
• Continuously monitor data quality and make recommendations for improvements.

Skills

Analytical skills

Independent work

Communication skills

Education

Bachelors in Math/Stats/CS

Tools

SQL

Python

R

Tableau

Power BI

Job description

EcoFarm Solutions in Aalborg, Denmark is seeking a part-time Data Analyst to collect, analyze and interpret large datasets and provide actionable insights. The role suits someone with strong analytical skills and experience with SQL, Python or R, and data visualization tools.

You will create reports for stakeholders, monitor data quality, and collaborate with the team to support data-driven decision making while maintaining flexibility for students or professionals seeking additional income.