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Intern IOM - Data Analyst

Invesco

Munich, DeutschlandVor Ortvor 2 TagenEnglischsprachig

Stellenbeschreibung

As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.

Job Description

Key Responsibilities:

Treasury System Implementation: Assist with the implementation of new treasury management system for the European business
  • Support onboarding and integration of banks into the system
  • Assist with testing system configurations, workflows, and reporting outputs
  • Help document system processes, mapping, and functional specifications
  • Participate in troubleshooting activities with IT and system administrators

Rent Roll System Implementation: Support the deployment of a new rent roll management system across the European business.
  • Facilitate onboarding of third-parties onto the platform
  • Develop, document, and manage operational support processes
  • Identify and implement automation solutions, including leveraging AI tools, to streamline data reviews and operational tasks

Data Quality Management: Help ensure the 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 processes using AI and other innovative tools

Data Process Automation: Support the design and improvement of automated data flows and integrations across teams and systems
  • Partner across teams to design and improve automated data flows
  • Assist in the development and enhancement of APIs, interfaces, and data pipelines (coding not required, but curiosity and willingness to learn are encouraged)
  • Conduct testing of data integrations and document outcomes

Data Analysis and Visualization: Develop and deliver insightful reports and analyses to support business decision-making
  • Contribute to defining requirements for dashboards, KPIs, and reporting automation
  • Oversee the creation and maintenance of interactive dashboards using Power BI
  • Produce ad hoc reports and analyses as needed

What you can bring:
  • Currently pursuing a 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 is a plus— but not required
  • Hands-on exposure to system implementations or data migrations is highly valued
  • 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 a plus— but not required
  • Databases (SQL Server, Snowflake, BigQuery, etc.) a plus— but not required
  • Data profiling or data quality tools a plus— but not required
  • Python (basic scripting)
  • Proficient in English (must have)
  • German language skills a plus— but not required
  • Excellent organisation skills, attention to detail and accuracy a necessity
  • Self-driven and shows strong self-initiative to meet deliverables and overcome issues
  • Able to take ownership and follow through with tasks until completion
  • Comfortable to learn new software technology and programs
  • Ability to collaborate with IT, business teams, vendors and other third parties

Full Time / Part Time

Full time

Worker Type

Student/Intern (Fixed Term)

Job Exempt (Yes / No)

No

Workplace Model

Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other’s growth and development.

If this sounds like you, we’d love to hear from you! We want all of our candidates to shine during the application and selection process, so if you need any adjustments to be made, please send an e-mail to emea-talentacquisition@invesco.com. Please include your name, the job you are interested in, and the type of adjustment you need (for example; breaks during your interview, remote interviews, additional time for assessments or other required adjustments)

We promote a working environment that welcomes everyone and creates inclusive teams, celebrates difference and encourages everyone to be themselves at work.

Our commitment to the community and environmental, social and governance investing:

We partner with charitable organisations globally to make an impact in the communities where we live and work. Our people are encouraged to support the charities they feel most passionate about. We are also committed to environmental, social and governance (ESG) investing. We serve our clients in this space as a trusted partner both on specific responsible investment product strategies as well as part of our commitment to deliver a superior investment experience.

Recruitment Agencies:

Invesco has an in-house recruitment team, which focuses on sourcing great candidates directly. Invesco will not accept unsolicited resumes from agency or search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired. When we do use agencies, we have a PSL in place, so please do not contact hiring managers directly.

Regulatory:

This position may fall in-scope of one or multiple regimes/directives.

Skills & Technologien

Data VisualizationAIData Quality ManagementMachine LearningData PipelinesData Process AutomationAutomationAPI DevelopmentData Analysis

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