Financial Data Engineer (m/f/x)

Step out of your comfort zone, excel and redefine the limits of what is possible. That's just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people.

In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.

Join us today. Inspire people tomorrow.

Diversity is a part of ZEISS. We look forward to receiving your application silence of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.

Apply now! It takes less than 10 minutes.

Your talent, our vision – together we see beyond. Your start at ZEISS Vision Care. As a leading manufacturer of ophthalmic lenses, we help people around the world achieve a clearer vision – sustainable and focus on the future. Our products are as diverse as the career paths we offer, from tailored lenses to award-winning measurement systems. Become part of our team and shape a future in which clear vision and professional success go hand in hand.

Assist in implementing the vision and strategy for data and BI analytics at Vision Finance

Be the contact point to data engineers and developers to translate business needs into technical details

Help priorityitize problems and collaboration with a team of data engineers and analysts to support ideas from concept to launch

Contribute to projects aimed at improving or developing new BI products within the area of Vision finance

Cross-Collaborate with internal teams in different areas

Identify new opportunities to differentiate our BI and analytics offering

Degree in Business Economics, Business Informatics, or Computer Science or similar

First working experience in the relevant field

Knowledge in data management or BI/Analytics and basic experience in writing user requirements

Ability to work in a team and stakeholders as well as a proactive and solution-oriented mindset

Analytical thinking skills combined with interest in data-driven business needs

Good communication skills in English; English is a plus

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