Data Analyst
Data Analyst with strong finance background needed to analyze complex financial datasets using SQL, investigate data quality, build BI dashboards, and collaborate with cross-functional teams. Experience with Python, BI tools, and data validation required.
Responsibilities
- Analyze complex financial data using SQL to uncover trends, anomalies, and actionable insights.
- Investigate data quality issues and perform root cause analysis on discrepancies and reconciliation breaks.
- Build and validate matching, reconciliation, and data validation processes.
- Develop and maintain BI dashboards and reports for business stakeholders.
- Partner with Product, Engineering, and business teams to solve data-driven challenges and automate recurring analyses.
Requirements
- 3+ years of experience as a Data Analyst working with financial, banking, fintech, payments, or similar datasets.
- Strong SQL skills and experience analyzing large, complex datasets.
- Solid understanding of financial concepts, including transactions, accounts, reconciliation, and key metrics.
- Experience with Python (Pandas) and BI/data visualization tools.
- Strong analytical, problem-solving, and communication skills, with the ability to leverage AI tools effectively and validate results.
Nice to have
- Experience with AML, fraud, risk, financial crime, or reconciliation analytics.
- Familiarity with OSINT and third-party data sources.
- Experience with technologies such as ClickHouse, Trino, Kafka, Spark, or Iceberg.
- Experience with Apache Superset or similar BI platforms.
- Knowledge of data warehouses, ETL processes, and Git.