Responsibilities:

• Lead the data curing and review process to prepare data for audit and attestation, ensuring accuracy, completeness, and adherence to regulatory standards.
• Develop and maintain SQL queries and Python scripts for data extraction, transformation, and loading (ETL) processes to support data analysis and reporting.
• Collaborate with audit teams to understand data requirements for audits and ensure that the data provided meets audit standards.
• Perform data profiling, cleansing, and enrichment to identify and correct data quality issues.
• Design and implement robust data quality controls and validation checks within the data lifecycle.
• Document data processes, create data dictionaries, and maintain data lineage to support transparency and traceability.
• Use advanced SQL and Python skills to automate data processes and create efficiencies in data handling and reporting.
• Provide technical expertise in data management, offering insights into data structures, metadata, and database design.
• Translate complex data findings into clear, concise reports and visualizations for stakeholders at various levels.
• Work closely with IT and business teams to align data management practices with business goals and compliance requirements.

Requirements:

• Should have 10 years of experience as a Business Data Analyst, with a focus on data quality, audit, and attestation processes.
• Strong proficiency in SQL for complex data querying and report generation.
• Experience with Python scripting for data analysis and process automation.
• In-depth understanding of data governance, data quality management, and data curing methodologies.
• Proven track record of working with large datasets and complex data structures.
• Excellent analytical, problem-solving, and project management skills.
• Exceptional communication and presentation abilities, with the capacity to explain technical concepts to non-technical audiences.
• Familiarity with regulatory compliance and data protection standards in the financial industry.

Preferred Qualifications:

• Advanced SQL certification and Python programming certification.
• Experience with data visualization tools such as Tableau or Power BI.
• Knowledge of financial services and the specific data management challenges in this sector.
• Prior experience with data warehousing solutions and ETL tools.
• Familiarity with cloud data platforms and services.