#DIGITALCAMPUS Data / Business Analysts (d/f/m)

Ihre Aufgaben und Verantwortlichkeiten

• Übersetzen komplexer geschäftlicher Anforderungen in klare funktionale Spezifikationen und technische Datenmodelle für IM-Lösungen.
• Entwerfen und Bereitstellen interaktiver Analyse-Dashboards und Berichte unter Verwendung von Datenvisualisierungstools wie Spotfire und Skywise (Palantir Foundry).
• Durchführung von Datenprofilierung, Datenbereinigung und Mapping-Aktivitäten zur Behebung von Datenqualitätsproblemen und zur Sicherstellung von Governance-Standards.
• Koordinieren der Abstimmung zwischen Stakeholdern durch Agieren als primäre Schnittstelle zwischen operativen Geschäftseinheiten und technischen Entwicklungsteams.
• Definieren und Überwachen von Projekt-Key-Performance-Indikatoren (KPIs) zur Bewertung der Lösungsbereitstellung und der Nutzerakzeptanzraten.

Erforderliche Kenntnisse und Qualifikationen

• Abgeschlossenes Studium im Bereich IT oder einer vergleichbaren Studienrichtung
• Mind. 5-10 Jahre Berufserfahrung als Business Analyst, Data Analyst oder innerhalb einer Information-Management-Funktion.
• Starke technische Expertise in Analysetools und Datenplattformen (SQL, Power BI, Palantir Foundry/Skywise).
• Solide Kenntnisse in Datenmodellierung, ETL-Datenpipeline-Strukturen und Data-Warehouse-Prinzipien.
• Praktische Erfahrung in der Arbeit innerhalb agiler Frameworks (Scrum, SAFe) und in der Nutzung von Tracking-Tools wie Jira.
• Professionelle Sprachkenntnisse in Englisch; Deutschkenntnisse auf Konversationsebene sind sehr von Vorteil.

Keine 100%ige Übereinstimmung? Kein Grund zur Sorge! Airbus unterstützt Ihre

persönliche Entwicklung mit maßgeschneiderten Entwicklungslösungen.

Bringen Sie Ihre Karriere auf ein neues Level und bewerben Sie sich jetzt online !

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In order to support our Analytics Solutions Department, Airbus Helicopters is looking for a

Data / Business Analyst (d/f/m)

You will be part of a team developing advanced data architectures and enterprise analytics solutions for helicopter engineering and manufacturing. As part of the Data & Analytics Product & Service Line, you will be involved in translating business needs into data requirements aiming at optimizing operational decision-making and reporting.

Your location

At our Donauwörth site, located on the banks of the river Danube, we develop helicopters from the initial idea to the airworthy product. Watch them take off and touch down on our own on-site test airfield.

Our Benefits for You

• Fair Compensation & Extras: Attractive remuneration and individual additional benefits, such as company pension schemes, mobility offers (e.g., bike leasing), or corporate discounts with partner companies in accordance with our current guidelines.
• Time for You (and Your Loved Ones): 30 days of annual leave based on our collective agreement (35-hour week); work-life balance through flexible working hours (flextime), mobile working, part-time options, job sharing, and sabbatical opportunities.
• Growth Made Easy: Excellent professional development opportunities and international, group-wide career perspectives.
• Feel Good at Work: On-site company doctor; comprehensive health programs (sports courses, preventive care, etc.), canteen and cafeteria, and local childcare facilities at selected locations.
• Diversity Connects: Work in a diverse environment with more than 140 nationalities, where exchange, mutual support, and inclusion are part of our DNA.

Your tasks and responsibilities

• Translate complex business requirements into clear functional specifications and technical data models for IM solutions.
• Design and deliver interactive analytics dashboards and reports using data visualization tools like Spotfire and Skywise (Palantir Foundry).
• Perform data profiling, data cleansing, and mapping activities to resolve data quality issues and safeguard governance standards.
• Coordinate stakeholder alignment by acting as the primary interface between operational business units and technical development teams.
• Define and monitor project key performance indicators (KPIs) to evaluate solution deployment and user adoption rates.

Desired skills and qualifications

• Completed bachelors degree in IT or a comparable field of study
• Min. 5-10 years of professional experience as a Business Analyst, Data Analyst, or within an Information Management function.
• Strong technical expertise in analytics tools and data platforms (SQL, Power BI, Palantir Foundry/Skywise).
• Solid proficiency in data modeling, ETL data pipeline structures, and data warehouse principles.
• Practical experience working within Agile frameworks (Scrum, SAFe) and utilizing tracking tools like Jira.
• Professional language proficiency in English; conversational German is highly beneficial.

Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions.

Take your career to a new level and apply online now !

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:
AIRBUS HELICOPTERS DEUTSCHLAND GmbH

Employment Type:
Permanent
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Experience Level:
Professional

Job Family:
Digital

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com .

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.