Data Analyst with SQL

Job Description

You will be responsible for conducting data analysis to assess data quality and compliance with regulatory metrics. This includes designing and validating data quality rules and controls, as well as managing issue resolution related to data quality assessment. Collaborating with ITSO and process owners will be essential to ensure effective data management. Additionally, you will lead process improvements, document workflows, and utilize tools such as Databricks, Aurora, Excel, and Confluence for data management. Developing and maintaining automated reporting workflows and DQ scorecards will also be part of your responsibilities. Ensuring compliance with BCBS 239 and DUSE standards, particularly in cybersecurity and operational risk, is crucial for this role.

Key Responsibilities:

• Conduct data analysis to assess data quality and compliance with regulatory metrics
• Design and validate data quality rules and controls
• Manage issue resolution related to data quality assessment
• Collaborate with ITSO and process owners to ensure effective data management
• Lead process improvements and document workflows
• Utilize tools such as Databricks, Aurora, Excel, and Confluence for data management
• Develop and maintain automated reporting workflows and DQ scorecards
• Ensure compliance with BCBS 239 and DUSE standards, particularly in cybersecurity and operational risk

Qualifications Required:

• 5-8 years of experience with SQL and Python for data manipulation and automation
• Demonstrated ability to work with large datasets and ensure data quality in financial services
• Experience building data quality frameworks and scorecards
• Familiarity with regulatory metrics and standards (e.g., BCBS 239)
• Exposure to reporting tools such as Tableau or Power BI is an advantage

Education: Any Graduation Job Description:

You will be responsible for conducting data analysis to assess data quality and compliance with regulatory metrics. This includes designing and validating data quality rules and controls, as well as managing issue resolution related to data quality assessment. Collaborating with ITSO and process owners will be essential to ensure effective data management. Additionally, you will lead process improvements, document workflows, and utilize tools such as Databricks, Aurora, Excel, and Confluence for data management. Developing and maintaining automated reporting workflows and DQ scorecards will also be part of your responsibilities. Ensuring compliance with BCBS 239 and DUSE standards, particularly in cybersecurity and operational risk, is crucial for this role.

Key Responsibilities:

• Conduct data analysis to assess data quality and compliance with regulatory metrics
• Design and validate data quality rules and controls
• Manage issue resolution related to data quality assessment
• Collaborate with ITSO and process owners to ensure effective data management
• Lead process improvements and document workflows
• Utilize tools such as Databricks, Aurora, Excel, and Confluence for data management
• Develop and maintain automated reporting workflows and DQ scorecards
• Ensure compliance with BCBS 239 and DUSE standards, particularly in cybersecurity and operational risk

Qualifications Required:

• 5-8 years of experience with SQL and Python for data manipulation and automation
• Demonstrated ability to work with large datasets and ensure data quality in financial services
• Experience building data quality frameworks and scorecards
• Familiarity with regulatory metrics and standards (e.g., BCBS 239)
• Exposure to reporting tools such as Tableau or Power BI is an advantage

Education: Any Graduation