Werkstudent:in Data Analyst & Visualization (m/w/d)

ITs-plus GmbH & Co. KG

ITs-plus GmbH & Co. KG acts as an external IT department, offering comprehensive IT and communication technology solutions with a focus on personal service and optimal outcomes. They seek a working student in data analysis and visualization to drive innovative analyses and data-driven decisions, aiming to elevate analytical capabilities.

In this role you can expect to have the responsibilities:

• Procure and extract data from various sources for a robust analysis foundation.
• Verify data accuracy, consistency, and completeness to ensure reliable analyses.
• Clean, transform, and structure data for efficient advanced analysis.
• Conduct in-depth data-driven analyses to gain insights, identify trends, and interpret relationships for strategic decisions.
• Utilize modern visualization tools like Power BI or Tableau for clear, engaging presentations of complex datasets.
• Prepare precise, user-friendly reports tailored for various audiences to effectively convey findings.
• Develop and implement automation solutions for recurring data evaluations to enhance process efficiency.
• Document analytical steps transparently to ensure traceability and reproducibility.
• Continuously analyze and optimize existing dashboards to present relevant and meaningful information.

This role comes with the following benefits:

• Subsidized EGYM-Wellpass membership for fitness.
• 100% coverage of inspection and insurance for a personal bike.
• Support for Deutschlandticket travel.
• Customized training plans for career advancement.
• Five paid caregiving days annually.
• Healthy meals from a mobile canteen.
• Comprehensive health management.
• Support for occupational pension schemes.
• Flexible working hours with a flexitime account.

This role requires you to have:

• SQL proficiency and database experience.
• Basic knowledge of APIs and ability to write and execute JOIN queries.
• Familiarity with PowerShell and Power Platforms such as Power BI.
• Experience with Power Query or similar tools for optimal data preparation.
• Strong understanding of business-related concepts.
• Proficient in Excel for analysis and reporting.
• Analytical ability to quickly grasp data-based relationships.
• Solution-oriented approach, autonomous work style, and responsibility ownership.
• Perseverance in technical challenges and commitment to problem resolution.
• Creative problem-solving and innovative thinking.

You would benefit from having:

• Effective communication of ideas and analyses.
• Handling sensitive information with discretion.
• Team collaboration while maintaining individual responsibilities.

The role offers workplace flexibility with part-time home office options in Mainz. Additional perks include further training, flexible hours, home office possibilities, complimentary drinks, and free parking.