Data and Use-Case Analyst – SupTech Solutions

NTU International A / S; München; Remote; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

A leading consultancy seeks Data and Use-Case Analysts for short- to medium-term assignments supporting structural reforms in EU Member States. Responsibilities include working with NCAs on SupTech use cases and providing analytics support. Ideal candidates have degrees in data science or related fields, with extensive experience in data-driven solutions.

Qualifikationen

• 5+ years in data-driven regulatory solutions.
• Experience in use-case validation and supervisory analytics.
• Familiarity with SupTech / RegTech ecosystems is an asset.

Aufgaben

• Define, document, and deploy SupTech use cases with NCAs.
• Provide analytics support for case performance monitoring.
• Advise on data collection standards for refinement.

Kenntnisse

Data analysis

Analytics support

Data collection standards

Supervisory analytics

Ausbildung

Degree in data science

Degree in public sector analytics

Degree in fintech

Tools

Dashboarding tools

Data visualization tools

Jobbeschreibung

Data and Use-Case Analyst – SupTech Solutions

Location : Europe

Duration : Short- to medium-term

Estimated Workload : Short-term assignments / task-based consultancy

About the Opportunity : We are creating a pool of Data and Use-Case Analysts – SupTech Solutions for a new FWC Contract : EC-SG REFORM / 2025 / OP / 0001 : Provision of consultancy services to support the design, development, implementation, monitoring and evaluation of structural reforms in EU Member State. Experts in this pool will be contacted for specific assignments as they arise. If you have relevant experience we encourage you to apply.

Key Responsibilities :

• Work with NCAs to define, document, and deploy a selected number of SupTech use cases.
• Provide analytics support to monitor case performance and feasibility.
• Advise on data collection standards and feedback loops for solution refinement.
• Support the development of technical documentation and case evaluation reports.

Qualifications :

• Degree in data science, public sector analytics, or fintech.
• 5+ years in data-driven regulatory solutions, use-case validation, or supervisory analytics.
• Familiarity with dashboarding, data visualisation, and SupTech / RegTech ecosystems.
• Experience with cross-border data harmonisation is a plus.