Beschreibung

You will drive asset management success by building scalable data models and automated reporting tools that turn complex financial and operational data into clear, actionable insights.

Anforderungen

• •3+ years experience in Analytics Engineering, BI Development, or Data Engineering
• •Ideal experience in Asset Management, Finance, Accounting, or portfolio-based domains
• •Strong expertise in SQL and data modelling with dbt
• •Familiarity with orchestration and ingestion tooling like Airflow, Azure Data Factory, or Fivetran
• •Exposure to Python for data analysis and automation as a plus
• •Experience building reporting layers for Tableau, Power BI, or Streamlit
• •Strong analytical mindset and problem-solving skills
• •Excellent communication and stakeholder alignment skills
• •High ownership and proactive problem-solving mindset

Aufgaben

• •Build and maintain dbt transformation pipelines
• •Design analytics-ready data models
• •Develop datasets for portfolio monitoring
• •Track asset lifecycles and customer agreements
• •Support refinancing and cashflow reporting
• •Document and test data models
• •Automate recurring reporting processes
• •Implement data quality and validation logic
• •Build reporting layers for BI dashboards
• •Interpret data from ERP and financial systems
• •Collaborate with system owners on data quality
• •Manage the project intake process
• •Lead stakeholder prioritization meetings
• •Translate business needs into work packages
• •Coach users on SQL and semantic models
• •Promote engineering and version control standards

Tools & Technologien