Exyte

Expert Data Analytics Finance / Treasury (m/f/d)

Stellenbeschreibung:

Discover your exciting role

Support our dedicated global project execution teams in all financing related topics. Work closely with the Vice President Corporate Treasury and an inspiring team of Treasury colleagues located in Stuttgart, Singapore and the US as well as with colleagues on projects. The role focuses on cash disposition and short‑term cash planning for the Exyte Group, while ensuring that short‑term cash plans can be effectively translated into mid‑term planning. The role also includes a variety of treasury related activities, e.g. efficient processing and reporting of all guarantee related issues, being responsible for our global electronic banking system, communication with our core banks and treasury back‑office tasks.

Explore Your Tasks And Responsibilities

  • Consolidating and analyzing short‑term cash forecasts to ensure liquidity.
  • Performing data analysis on cash flow patterns, liquidity drivers, and forecast accuracy.
  • Ensuring data quality, consistency, and integrity across systems and tools.
  • Driving automation and digitalization through data modeling and workflow optimization.
  • Acting as deputy for key treasury operations by overseeing the TMS (Coupa) and global electronic banking system (TIS), coordinating guarantee processes with internal and external stakeholders, and ensuring smooth, compliant end‑to‑end back‑office workflows when serving as stand‑in.

Show Your Expertise

  • Completed university degree in Business Administration (Finance, Accounting or Controlling), along with at least three years of hands‑on data analytics experience in the finance/treasury function of a multinational company or in the banking sector.
  • Excellent command of English and German, strong IT affinity, and advanced proficiency in MS Office, particularly Excel.
  • Proven experience with treasury systems (Coupa, TIS) as well as core data analytics tools (SQL, Excel, Power BI; Python/R beneficial).
  • Strong analytical capabilities, including descriptive statistics, hypothesis testing, regression analysis, variance analysis, and effective data storytelling.
  • Robust data literacy, including assessing data quality, performing data cleaning and transformation, defining and interpreting KPIs, and understanding underlying business processes.
  • Excellent communication and presentation skills with the ability to create dashboards, translate analytical findings into insights, and develop actionable recommendations.
  • Key personal attributes include strong analytical thinking, attention to detail, organizational strength, a hands‑on mindset, and the ability to work independently.

What We Offer

  • Your start at Exyte: Take part in a two‑day onboarding event with new colleagues.
  • Attractive location: Our location features spacious workstations with height‑adjustable desks.
  • Buddy‑System: Several weeks of close familiarisation with your colleagues in the team.
  • Work‑life balance: There is always the possibility of switching to mobile working.
  • Catering: Free coffee specialities as well as water dispensers are accessible on every floor.
  • Keep fit: Exyte subsidises your fitness contract through EGYM Wellpass at over 5,000 locations in Germany.

Contact

You want to be part of the Exyte team? We look forward to receiving your application! For further questions and information, please do not hesitate to contact Gerd Fleischmann via E‑Mail at Please note that we only consider applications submitted through our application portal. Applications sent via email will not be considered due to data protection regulations.

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NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    24 Mär 2026
  • Standort:

    Stuttgart

    Einsatzort:

    Stuttgart, Germany
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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