Business Analyst Customer Service (m/f/d)

Stryker Corporation; Weismain; Vor Ort; Vertraulich; Vollzeit

Zusammenfassung

Ein führendes Unternehmen im Online-Handel in Bayern sucht einen engagierten Analysten für die Optimierung von Kundenservice-Prozessen. In dieser Rolle sind Sie für die Automatisierung von Berichten, die Datenanalyse und die Verbesserung der Prozesse verantwortlich. Ein Studium in einem relevanten Bereich sowie Erfahrung mit SQL und Datenvisualisierung sind erforderlich. Bewerbungen sollten schriftlich oder per E-Mail eingereicht werden.

Qualifikationen

• Relevanter Abschluss oder mehrere Jahre Berufserfahrung notwendig.
• Kenntnisse der Datenschutzrichtlinien erforderlich.
• Erfahrung in der Datenanalyse und -visualisierung erforderlich.

Aufgaben

• Automatisierung von Berichten und Datenanalysen gestalten.
• Prozesse im Kundenservice kontinuierlich überwachen und verbessern.
• Detaillierte Prozessanalysen durchführen und Empfehlungen geben.
• Innovative Lösungen entwickeln, um die Kosten zu senken und die Kundenerfahrung zu verbessern.
• Transformation im Kundenservice aktiv gestalten.

Kenntnisse

Analytisches Denken

Datenanalyse

Kundenfokus

Ausbildung

Studium in Mathematik, Statistik, Wirtschaftsinformatik oder Datenwissenschaft

Tools

SQL

SAS

R

Python

Jobbeschreibung

Alle Mitarbeiterinnen und Mitarbeiter in jeder der 123 Einzelgesellschaften der Otto Group tragen täglich mit innovativen Ideen dazu bei, uns unserem gemeinsamen Ziel näher zu bringen: in allen Bereichen Best in Class zu werden.

The BAUR Group, with operations in the DACH region, has long stood for success in online business and is part of the success of the globally active OTTO Group. Online retail and online retail-related services are undergoing rapid change - now more than ever!

Are you passionate about optimizing processes, turning data into valuable insights and actively shaping the future of customer service? Then you've come to the right place! We are looking for a committed individual who can take our service processes to the next level with analytical acuity and a strong customer focus and make a significant contribution to the digital transformation.

Was Dich erwartet:

• Report automation & data analysis:
  • You design, develop and implement automated reporting and dashboard solutions to transparently present key performance indicators in customer service
  • You ensure data quality and integrity for all reporting requirements and translate complex data into understandable recommendations for action
• Process monitoring & improvement:
  • You continuously monitor our customer service processes based on defined KPIs and proactively identify bottlenecks, inefficiencies and potential for improvement
  • You develop and implement measures to increase process efficiency and effectiveness, always with the aim of optimizing the customer experience
• Detailed process analysis & design:
  • You carry out detailed process analyses (as-is analysis, target design) using suitable methods and tools
  • You derive specific recommendations for action to optimize the customer journey and internal processes and support their implementation
• Customer and cost focus:
  • You develop innovative solutions that both improve the customer experience and help to reduce costs
  • You quantify the benefits of optimization measures and present them convincingly
• Actively shaping the transformation:
  • You play a central role in the design and implementation of transformation projects in Customer Service
  • You work closely with colleagues from Customer Service as well as other departments and our external partners to successfully implement new processes and technologies
  • You contribute your own ideas and impulses for the further development of our service strategy and promote a data-driven culture and the continuous improvement process

Was Du mitbringen solltest:

• You have completed a relevant degree (mathematics, statistics, business informatics, data science) and/or have several years of relevant professional experience
• You have knowledge of data protection guidelines
• You are confident in using SQL to query and manipulate data
• You have experience in data analysis and visualization with SAS, R or Python

Bitte bewerbe Dich schriftlich bzw. per E-Mail auf diese Ausschreibung.