Data Analyst

Qualifications:

• 2 years of experience with data quality analysis, statistical analysis and/or modeling, financial or cost analysis, internal controls, and/or external/internal financial audit.
• Experience across the entire model development lifecycle, including interacting with model risk management teams and executing model governance best practices.
• Deep technical understanding, including proficiency in an analytical programming language, such as SQL , Python, or R, to provide clear technical direction, mentoring and growing the skills of your team.
• Hands-on development experience of AI and machine learning models, packages, or COTS tools, with corresponding model risk management and governance of AI and machine learning.
• Strong executive presentation skills, able to strategically and effectively communicate with both external and internal stakeholders, as well as collaboratively across business units, technology, and policy teams.
• Bachelor's Degree in Economics, Finance, Statistics, Mathematics, Computer Science, Management Information Systems, Engineering, Business Analytics disciplines, or related area.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• Ability to obtain and maintain the required clearance for this role.

Responsibilities:

• Conduct data analysis and provide insights to support business decisions.
• Create reports and data visualizations to communicate findings to stakeholders.
• Collaborate with cross-functional teams to develop and implement data-driven strategies.
• Develop and maintain data models and databases.
• Ensure data accuracy and completeness.
• Use statistical analysis techniques to identify trends and patterns in data.
• Communicate findings and recommendations to both technical and non-technical audiences.

Key Skills:

• Data cleaning and preparation.
• Data analysis and exploration.
• Creating data visualizations.
• Creating dashboards and reports.
• Writing and communication.
• Domain knowledge.
• Problem solving.