חזרה

Data Analyst

Cognyte
שכר לא צויןIsrael, Bar Lev, Mahoz Tzafon, Israel, היברידימידמשרה מלאה
משרה חיצונית, ההגשה באתר החברהאושר שהמשרה פתוחה לפני 9 שעות

Analyze complex financial data and investigate data quality issues, discrepancies, and reconciliation breaks. Build validation processes and BI reports, and work with Product, Engineering, and business teams to address data challenges.

מה תעשו

  • Analyze financial data with SQL to identify trends, anomalies, and insights.
  • Investigate data quality issues and root causes of discrepancies and reconciliation breaks.
  • Build and validate matching, reconciliation, and data validation processes.
  • Develop and maintain BI dashboards and reports.
  • Work with Product, Engineering, and business teams to solve data challenges and automate recurring analyses.

דרישות

  • 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.
  • Understanding of financial concepts, including transactions, accounts, reconciliation, and key metrics.
  • Experience with Python (Pandas) and BI or data visualization tools.
  • Strong analytical, problem-solving, and communication skills; ability to use AI tools effectively and validate results.

יתרון

  • Experience with AML, fraud, risk, financial crime, or reconciliation analytics.
  • Familiarity with OSINT and third-party data sources.
  • Experience with ClickHouse, Trino, Kafka, Spark, or Iceberg.
  • Experience with Apache Superset or similar BI platforms.
  • Knowledge of data warehouses, ETL processes, and Git.

תנאי סף

  • 3+ years of experience as a Data Analyst with financial, banking, fintech, payments, or similar datasets
  • Strong SQL skills
  • Experience with Python (Pandas) and BI or data visualization tools
  • Strong understanding of financial concepts, including transactions, accounts, and reconciliation
SQLPythonPandasBI dashboardsFinancial data analysisData reconciliationData validation