Senior Data Analyst Assistant Vice President
Role details
Job location
Tech stack
Job description
The Assistant Vice President, Sr. Data Analyst is a seasoned professional role within the Prime Services Data Analytics team. This position requires a unique blend of technical expertise and strong analytical capabilities to bridge the gap between business requirements and data solutions. The role applies in-depth disciplinary knowledge, contributing to the development of new business intelligence dashboards for senior management and distributing data to broader Prime Service teams.
The successful candidate will work closely with business stakeholders and Quantitative Analysts to source, analyze, and manage data from various teams within Citi. This is a hands-on technical role requiring proficiency in SQL and Python, combined with excellent analytical skills to translate business requirements into actionable data solutions. Key responsibilities include generating data schemas, creating data quality rules, managing schema deployment, and ensuring robust data governance and metadata management., Data Management & Governance
- Work collaboratively with business stakeholders and Quantitative Analysts (Quants) to source data from various teams within Citi
- Analyze data per business requirements and translate business needs into technical specifications
- Generate and design robust data schemas to support analytical and operational needs
- Create, implement, and maintain comprehensive data quality rules and validation frameworks
- Manage and deploy data schemas across various platforms and environments
- Take ownership of data governance initiatives and ensure compliance with enterprise data standards
- Maintain and manage metadata repositories, ensuring comprehensive documentation of data lineage, definitions, and business context
- Utilize JIRA for project tracking, issue management, and agile workflow management
- Leverage Confluence for documentation, knowledge sharing, and cross-functional collaboration
Business Partnership & Solution Design
- Consult with business clients to identify system functional specifications and apply comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business goals
- Consult with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommend solutions
- Lead system change processes from requirements through implementation; provide user and operational support of applications to business users
- Formulate and define systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards
- Consider the business implications of the application of technology to the current business environment; identify and communicate risks and impacts
Requirements
- 5+ years of experience in data analysis, data engineering, or related fields, preferably within financial services or banking
- Demonstrated experience in data governance, metadata management, and data quality frameworks
- Experience working with cross-functional teams including business stakeholders, technology teams, and quantitative analysts
Technical Skills
- Proficient in SQL : Advanced querying, optimization, and database management
- Proficient in Python : Data manipulation (pandas, numpy), analysis, automation, and scripting
- Advanced Excel : Complex formulas, pivot tables, macros, data modeling, and advanced analytics
- JIRA : Project management, issue tracking, and agile methodologies
- Confluence : Documentation, knowledge management, and collaboration
- Experience with data schema design and implementation
- Understanding of data quality frameworks and validation techniques
Analytical & Problem-Solving Skills
- Ability to effectively use complex analytical, interpretive and problem-solving techniques
- Strong capability to filter, prioritize and validate potentially complex and dynamic material from multiple sources
- Proven ability to evaluate moderately complex and variable issues with substantial potential impact
Communication & Leadership
- Demonstrated interpersonal, verbal and written communication skills
- Strong diplomacy skills required to exchange complex information across diverse audiences
- Proven ability to assume leadership roles and mentor junior team members
- Experience coaching and training new recruits
Education
- Bachelor's/University degree or equivalent experience, preferably in Computer Science, Information Systems, Mathematics, Statistics, Engineering, or related quantitative field