onsite
Fund Finance Data Analyst - Private Credit
Data Analyst
Data analyst focused on private credit fund finance, leveraging Business Objects, Excel, Python, SQL, and Snowflake to transform complex financial data into actionable insights for investment decision-making.
About the role
Key Responsibilities
- Design, develop, and maintain data models and dashboards in Business Objects to support fund performance analysis.
- Extract, transform, and load (ETL) large financial datasets using SQL and Snowflake, ensuring data integrity and compliance.
- Automate repetitive reporting tasks with Python scripts, improving efficiency and reducing manual effort.
- Collaborate with portfolio managers and finance teams to define key metrics, validate data, and provide analytical support for investment decisions.
- Document data processes, create user guides, and train stakeholders on new reporting tools and methodologies.
Requirements
- Bachelor’s degree in Finance, Economics, Computer Science, or related field.
- 3+ years of experience in financial data analysis, preferably within private credit or asset management.
- Proficiency in Business Objects, Excel (advanced functions, pivot tables), SQL, Snowflake, and Python (pandas, NumPy).
- Strong analytical mindset with the ability to translate complex data into clear, actionable insights.
- Excellent communication skills and a collaborative approach to cross‑functional projects.
Skills
excelpythonsqlsnowflake