Wealth Data Strategy Architect

Citi; New York (NY); On-site; USD 109,000 - 164,000; Full time

Job summary

Citi is seeking a detail-oriented Senior Business Data Analyst in New York, NY, to draft requirements, analyze datasets, and coordinate with technology squads for data-driven decisions. The role emphasizes data modeling, process flows, and collaboration across front-office and product teams.

The position requires a minimum of five years in data analysis, a relevant bachelor's degree, strong SQL skills, and proven leadership.

Qualifications

• 5+ years of relevant business data analysis experience.
• Bachelor's Degree in Computer Science/Business Management/Engineering, advanced degree is a plus
• Strong data analysis skill (e.g. SQL) along with an understanding of technical patterns used to consume and process data at scale
• Experience with the Agile development process.
• Ability to communicate effectively with both technical and non-technical audiences.
• Strong leadership and teamwork skills, with the ability to collaborate effectively across various teams and organizations to get the job done.
• A proven track record of problem-solving, adaptability, and creativity in addressing complex challenges.

Responsibilities

• Use your strong analytical skills to identify, collect, organize, analyze, clean and disseminate significant amounts of information with attention to detail and accuracy.
• Collaborate with cross-functional teams to define data requirements, identify data sources, and collect and preprocess data
• Interview various users in operations and front office to understand current processes and draft process flows
• Collaborate with engineering, data and analytics teams to design, build, and enhance tools for rollout against the product roadmap

Skills

SQL

Analytical thinking

Communication

Leadership

Project management

Education

Bachelor's degree in Computer Science/Business/Engineering

Job description

Citi is seeking a detail-oriented Senior Business Data Analyst in New York, NY, to draft requirements, analyze datasets, and coordinate with technology squads for data-driven decisions. The role emphasizes data modeling, process flows, and collaboration across front-office and product teams.

The position requires a minimum of five years in data analysis, a relevant bachelor's degree, strong SQL skills, and proven leadership.