Lead Data Analyst and Reporting - SQL/Python/Tableau

The Data Governance Foundation Lead Analyst is responsible for contributing to the directional strategy and assisting in creation and modification of Enterprise Data Governance Strategy, and/or Data Risk and Control Framework and Data Risk Taxonomy. The focus of this role may be on one or more of the following areas: assisting in identification, measurement and reporting, data policy adoption and compliance, data controls framework performance and issue management process, and regulatory and audit response and action tracking.

This role requires someone who is dynamic, flexible, and can easily respond to quickly changing needs. The candidate must have the ability to handle ambiguity and complexity and be able to deliver on multiple responsibilities. Developed communication and diplomacy skills are required in order to guide, influence and convince others.

Responsibilities:

• Partner with multiple teams to implement relevant Data Governance policies and/or Data Risk and Control framework
• Design, implement, and monitor Data Quality scorecards to ensure completeness, accuracy and timeliness for Wholesale Credit Risk data
• Identify and thoroughly investigate recurring data concerns, including potential false positives, collaborating with Technology and other key stakeholders to address them effectively
• Collaborates closely with internal and external business partners to build, implement, track, and improve Data Quality control processes
• Leverages Machine Learning and other advanced analytical methods to identify complex data patterns and trends, providing actionable insights to enhance the quality of data supporting Credit Risk reporting

Qualifications:

• 10 + years relevant experience in a SQL/Python/Tableau
• Familiar with Wholesale Credit Risk and financial markets’ instruments
• Data tracing, Data mining, visualization, analysis – identifying patterns/trends, exploratory data analysis, root cause analysis
• Ability to monitor tight deadlines or unexpected requirement changes, with the ability to anticipate and balance needs of multiple stakeholders
• Ability to communicate effectively to develop and deliver multi-mode communications that convey a clear understanding of the unique needs of different audiences

Education:

• Bachelor's/University degree, Master's degree preferred

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Job Family Group:

Data Governance

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Job Family:

Data Governance Foundation

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Time Type:

Full time

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Most Relevant Skills

Constructive Debate, Data Governance, Data Management, Data Quality, Internal Controls, Management Reporting, Policy and Procedure, Program Management, Risk Controls and Monitors, Risk Management.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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