Student Worker - Data Analytics & Reporting (Aarhus)

Job summary

This role involves developing Power BI dashboards, analyzing business data, and supporting data-driven decision-making within a global renewable energy organization. It offers hands-on experience in analytics, reporting, and collaboration with stakeholders.

Responsibilities

• Develop and maintain Power BI dashboards and reports for visibility across the organization.
• Create data visualizations and analytical solutions for operational and strategic decisions.
• Integrate and manage data from multiple sources, including SAP, for accurate reporting.
• Ensure data quality and consistency in reporting solutions.
• Collaborate with data owners and stakeholders to gather requirements for reporting.
• Support the development and monitoring of KPIs and performance metrics.
• Provide ad hoc reporting and data-driven insights for business initiatives.

Qualifications

• Currently pursuing or recently completed a Bachelor's or Master's degree in Data Analytics, Business Intelligence, Data Science, Business Administration, Engineering, Information Systems, Computer Science, or a related field.
• Proficient in Microsoft Excel, including formulas and data analysis techniques.
• Experience with Power BI and data visualization is advantageous.
• Understanding of data modeling and reporting concepts.
• Familiarity with SQL and database fundamentals is beneficial.
• Exposure to ERP systems like SAP is a plus but not required.
• Strong analytical, problem-solving, and communication skills.

Skills

• Analytical and problem-solving skills to interpret complex data.
• Ability to translate data into actionable recommendations.
• High attention to detail and commitment to data quality.
• Effective communication skills for cross-department collaboration.
• Proactive and eager to learn new tools and processes.

Education

• Bachelor's or Master's degree in a relevant analytical field (in progress or recently completed).

Tools

• Microsoft Power BI, Microsoft Excel, SAP, SQL.