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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

9Open Positions

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Intern IOM - Data Analyst

Invesco
Found 3 weeks ago
Location
Munich, Germany
Duration (Months)
4 Months
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
3 weeks ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Data visualization
  • databases/SQL
  • automation
  • data analysis
  • system support
  • business operations analysis
  • financial systems
  • real estate
  • asset management
  • treasury
  • system implementations
  • data migrations
  • Excel skills
  • lookups
  • pivot tables
  • power query
  • Power BI
  • building visuals
  • data modeling basics
  • SQL
  • querying
  • validating data
  • Treasury systems
  • ERPs
  • SQL Server
  • Snowflake
  • BigQuery
  • Data profiling
  • data quality tools
  • Python
  • basic scripting

Soft Skills

  • Excellent organisation skills
  • attention to detail
  • accuracy
  • Self-driven
  • strong self-initiative
  • Able to take ownership
  • 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

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

Requirements

  • 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

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English

Nice to Haves

  • German language skills
▶Apply Now

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