Key skills
PythonSQLData EngineeringAnalyticsBIBusiness IntelligencePower BICommunication
About this role
Role Overview
- Exploratory Data Analysis of structured and unstructured datasets
- Extensive Data Profiling using Excel, SQL and bespoke tools
- Segmentation, anomaly/outlier detection, trending analysis
- Reconcile and validate data across multiple sources
- Present findings in plain language, including limitations and confidence levels
- Support Data Stewards with Data Discovery & Insights
- Support Data Engineering in the onboarding/integration of new datasets
- Ensure proper handling of sensitive data (PII)
Requirements
- Degree in Computer Science, Information Systems, Statistics, or a related field is preferable
- Proven experience in a Data Analyst / Business Intelligence / Analytics role, ideally in financial services or alternative investments
- A background in financial data domains (IBOR/ABOR, transactions, market data, reference data)
- Resourceful, motivated self-starter with strong attention to detail.
- Thrives in a fast-paced environment where processes and datasets are evolving.
- Strong analytical, verbal, and written communication skills
- Expert level proficiency in Excel & SQL is a must
- Power BI experience a plus
- Working experience with Python a plus
Tech Stack
- Python
- SQL