Working Student: Business Intelligence – Reporting, Data Analytics

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🔥 0 minutes ago

🇦🇹 Austria – Remote

💵 €2.6k / month

⏱ Part Time

⚪️ Entry-level

📉 Data Analyst

🚫👨‍🎓 No degree required

👻 Ghost score 0%

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HAI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1981

💼 Consulting

⚖️ Legal

🏢 Enterprise

Consulting • Legal • Enterprise

HAI is a professional services firm specializing in archival, historical research, and heritage services for organizations. The company offers expert factual research and analysis (including support for legal cases and regulatory matters), archival organization and digitization, museum collections management, records and information management, and historical storytelling and exhibit development. HAI also provides on-demand consulting and staffing, technology and CMS consulting, disaster planning and preservation advisory, and milestone/heritage event services for corporate, government, and cultural clients.

📋 Description

• Support the development and enhancement of the BI and reporting landscape (Qlik Sense) • Create and enhance dashboards, reports, and visualizations in close coordination with Controlling and other business departments • Document, quality-assure, and validate data and reports • Prepare, transform, and model data in the data warehouse • Support user requests, analyze data discrepancies, and ensure smooth BI processes

🎯 Requirements

• Currently pursuing a degree in Business Informatics, Data Science, or Business Administration with relevant specializations • Interest in data-driven work and analytical issues in a business environment • Initial experience with Qlik Sense, Power BI, or similar tools is a plus • Analytical mindset, structured way of working, and enthusiasm for numbers • Availability for at least 20 hours per week, with the option to work full-time

🏖️ Benefits

• Flexible working hours and remote work options • A young and dynamic team that involves, supports, develops, and values you • Insights into real-world business management and data-driven decision-making processes • Potential compensation above the standard rate, based on your qualifications and professional experience

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