Data Analyst* / Business Analyst* Finance (f/m/d)

We are a dynamic team, responsible for managing data from the source to providing valuable information for management. Data Engineers, Data Analysts, and Frontend experts work hand in hand, always thinking beyond their specific roles. Using cutting-edge technology, we create reliable data products that our internal customers can depend on. Quality is our top priority, both in the development and the content of our products. Through open communication within our networks, we foster synergies across the various data domains.

YOUR TASKS:

• You will actively shape the sustainable and future-oriented development of data models and data management.
• You will gather requirements from the departments, discuss them, and develop a deep understanding of the source systems.
• You will provide technical guidance for implementation and advise the development team.
• You will create standard reports and ad-hoc analyses and integrate your data models into an overarching concept.
• You will support corporate-wide data management.

YOUR PROFILE:

• You have a degree in business informatics, business administration with a strong focus on data management, or a comparable qualification.
• You bring initial professional experience in a similar role.
• You have in-depth knowledge in the area of finance and controlling.
• You have experience working with SQL servers as well as business intelligence and big data tools.
• Knowledge of SAP FI & CO is an advantage.
• You have good English skills.
• A systematic and structured working style is one of your strengths.
• You place a high value on quality.
• Creativity and enthusiasm for innovation in problem-solving are among your strengths.
• You enjoy working in a team and stand out for your communication skills.

YOUR APPLICATION:

• We are looking forward to your online application
• Nicole Behringer
• Job-ID 35563 
• All applications will be treated confidentially

*At SICK, we see people, not gender. 

We put great emphasis on diversity, reject discrimination and do not think in categories such as gender, ethnicity, religion, disability, age or sexual identity.

Stichworte: Datenmanagement