Big Data Senior Analyst / Senior Business Analyst – Automotive (m/w/d) – umaris GmbH & Co. KG

About

Our client is at the heart of the Big Data revolution, realizing innovative project business based on extensive data. With its data-driven analyses and solutions, the company is an indispensable partner for its clients. The team deciphers complex data worlds, recognizes patterns and correlations, and thus creates transparency in dynamic automotive markets. To further expand the team's success near Berlin, we are looking for a reflective and analytical computer scientist, business information technologist, data scientist, mathematician (m/f/d) - or a comparable qualification as a Big Data Senior Analyst / Senior Business Analyst - Automotive sector (m/f/d).

Responsibilities

• The position offers a clear development perspective towards team leadership.
• The working model is deliberately designed to be flexible: two days in the office and three days of home office are an integral part of the collaboration.
• You will identify, evaluate, and implement AI-supported solutions to increase efficiency and quality in the analytics area.
• To do this, you will delve deep into large datasets and extract relevant information using database queries, AI, and BI methods.
• You will efficiently prepare data, integrate it into customer systems, and ensure high data quality.
• You will identify trends, patterns, and correlations in the data and derive robust insights from them.
• You will interpret and evaluate analysis results, draw well-founded conclusions, and make them usable for decision-making.
• You will use your analyses to optimize customers' business processes on a data basis.
• You will present results clearly, concisely, and appropriately to relevant stakeholders.
• You will advise clients on the application and added value of Big Data analyses in their respective market environments.

Requirements

• Completed university degree in Business Information Technology, Computer Science, Mathematics, Business Mathematics, Statistics, or a comparable field.
• Several years of professional experience in Data Science / Data Analytics as well as with relational databases and NoSQL databases are desirable.
• Knowledge in the application of statistics or data mining software (e.g., Python, SPSS, R).
• Confident handling of methods for data analysis, data preparation, and modeling of large datasets.
• Confident, professional demeanor in customer contact, as well as a goal-oriented, meticulous, and independent way of working.

Your Perspectives

• Open corporate culture: Open, team-oriented, and appreciative culture in a family business, characterized by communication and transparency.
• Comprehensive onboarding: Comprehensive and practice-oriented onboarding to integrate you quickly and efficiently into your new role.
• Flexible working time models: Family and career? Not a problem with us! Thanks to flexible working time models, you can combine your private life and work in the best possible way.
• Responsibility and authority: Scope for design and decision-making and the opportunity to significantly shape the further development of the company.
• Training and further education: You will be offered attractive training and further education opportunities. Personal development is also highly valued and promoted through targeted coaching and seminars.
• Appreciative interaction: In a collegial, committed, and performance-oriented environment, we communicate at eye level and contribute ideas to drive improvements.
• Development opportunities: Exciting tasks with diverse development opportunities, both in leadership and specialization.
• On top: Corporate Benefits, mindfulness events, team events, and employee parties.

Contact

Have we sparked your curiosity? If you have any questions, please feel free to call us. Ms. Sarah Koch or Mr. Lars Seemann will be happy to assist you at 04351 907 6021. Please send us your CV either by email or use the link.

Apply now

umaris GmbH & Co. KG 04351 907 6000 bewerbung@umaris.de www.umaris.de

Salary

EUR 48000 - 84000 per year