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INInvesco Management S.A. Zweigniederlassung Deutschland

Intern IOM - Data Analyst(m/w/x)

München
VollzeitPraktikumVor Ort
AI/ML
Data Science

Implementing a new treasury management system for Europe, including bank onboarding and system testing. Data analysis and system implementation experience preferred. Inclusive work environment, community partnership.

Anforderungen

  • Bachelor's or Master's in Data Science, Computer Science, Information Systems, Business Analytics, or similar
  • Coursework or projects in data visualization, databases/SQL, or automation
  • Experience in data analysis, system support, business operations analysis, or financial systems roles
  • Experience in real estate, asset management, or treasury (plus, not required)
  • Hands-on exposure to system implementations or data migrations
  • Strong Excel skills (lookups, pivot tables, power query preferred)
  • Power BI (building visuals, data modeling basics)
  • Basic SQL for querying and validating data
  • Treasury systems or ERPs (plus, not required)
  • Databases (SQL Server, Snowflake, BigQuery, etc.) (plus, not required)
  • Data profiling or data quality tools (plus, not required)
  • Python (basic scripting)
  • Proficient in English
  • German language skills (plus, not required)
  • Excellent organisation skills, attention to detail and accuracy
  • Self-driven and shows strong self-initiative
  • Ability to take ownership and follow through with tasks
  • Willingness to learn new software technology and programs
  • Ability to collaborate with IT, business teams, vendors and third parties

Aufgaben

  • Assist with implementing a new treasury management system for Europe
  • Support onboarding and integration of banks into the treasury system
  • Assist with testing treasury system configurations, workflows, and reports
  • Help document treasury system processes, mapping, and specifications
  • Participate in troubleshooting with IT and system administrators
  • Support deployment of a new rent roll management system in Europe
  • Facilitate onboarding of third-parties onto the rent roll platform
  • Develop, document, and manage operational support processes for rent roll
  • Identify and implement automation solutions, including AI, for data reviews
  • Help ensure consistency, accuracy, and completeness of key data sets
  • Assist in maintaining and cleansing reference data
  • Perform data collection, validation, reconciliation, and anomaly detection
  • Collaborate with stakeholders to resolve data quality issues
  • Drive automation initiatives to enhance data quality using AI
  • Support design and improvement of automated data flows across teams
  • Partner across teams to design and improve automated data flows
  • Assist in developing and enhancing APIs, interfaces, and data pipelines
  • Conduct testing of data integrations and document outcomes
  • Develop and deliver insightful reports and analyses for decision-making
  • Contribute to defining requirements for dashboards and KPIs
  • Oversee creation and maintenance of interactive dashboards using Power BI
  • Produce ad hoc reports and analyses as needed

Ausbildung

  • Laufendes Studium

Sprachen

  • Englischfließend
  • DeutschGrundkenntnisse

Tools & Technologien

  • Excel
  • Power BI
  • SQL
  • SQL Server
  • Snowflake
  • BigQuery
  • Python

Benefits

Lockere Unternehmenskultur

  • Inclusive work environment

Team Events & Ausflüge

  • Team celebration

Gemeinnützige Ausrichtung

  • Community partnership

Fokus auf Nachhaltigkeit

  • ESG investing commitment
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Invesco Management S.A. Zweigniederlassung Deutschland erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

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