Description

You will provide advanced data analysis and troubleshooting within relational databases to support financial data integrity.

This role is hybrid.

Responsibilities

• Mine data and troubleshoot conditions within relational databases using SQL or Python.
• Apply data governance principles and quality management concepts to maintain data standards.
• Ensure all data processes align with established regulatory requirements.
• Manage multiple competing priorities and stakeholder requirements in a high-pressure environment.
• Participate in Agile ceremonies including backlog refinement, sprint planning, and execution.

Required Skills

• 8-10 years of experience in data analysis, querying, or PL/SQL.
• Expertise in SQL and Python for data mining and troubleshooting.
• Strong understanding of data governance and data quality management.
• Experience working within Agile methodologies and Scrum frameworks.
• 8+ years of total professional work experience.
• Bachelor's degree in finance, economics, computer science, or a related discipline, or equivalent work experience.

Preferred Skills

• Experience with Snowflake, Oracle, SQL Server, MongoDB, or Colibra.
• Background in securities or financial services.

Key Skills

Education

Any Graduate