- 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 :
- Minimum of 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.
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