Senior Data Analyst (m/w/d)

ENERCON

ENERCON, a leader in wind energy technology for over 40 years, stands out for its innovative solutions like gearless drive systems and advanced rotor design. By joining their team, candidates can contribute to pioneering global wind energy projects and tackle future energy challenges. The company seeks passionate individuals ready to shape the future of renewable energies.

In this role you can expect to have the responsibilities:

• Integrate data from various sources using tools like SAP, Power BI, and AI for advanced insights.
• Analyze project KPIs and identify discrepancies using centralized databases.
• Process both structured and unstructured data for continuous learning and improvement.
• Centralize and analyze contracts, milestones, and claims with SAP AI.
• Utilize AI to identify and rectify inaccurate master data.
• Conduct historical data analysis for budget optimization of new projects.

This role comes with the following benefits:

• Financial support for various investment benefits.
• Opportunity to work up to 60% remotely.
• Flexible working hours.
• Personalized mentoring for career entry.
• International onboarding with a balanced training plan.
• Collaborative team environment with a mix of experienced and young colleagues.
• Cultural norm of open communication across hierarchies.
• International project collaboration with diverse teams.
• Opportunities for overseas assignments in over 35 countries.
• Comprehensive benefits package including corporate fitness support.
• Job bike leasing options.
• Special leave for unique occasions.
• Employee events to foster team spirit.

This role requires you to have:

• Extensive experience with data integration and analytics tools including SAP, Power BI, and Excel.
• Initial experience with AI tools like SAP AI and Microsoft Copilot.
• Strong analytical skills for simulations and predictive analysis.
• Proficient in contract and milestone management with AI utilization.

You would benefit from having:

• Familiarity with SAP Datasphere for centralized data integration.
• Knowledge of AI-driven risk management strategies.
• Experience in collaborative cross-functional teamwork.
• Proactive in exploring new technologies for data analysis.

The company promotes a culture of open communication and collaboration across all levels, providing employees with opportunities for international exposure and professional growth.