Senior Data & Analytics Analyst, Capital Markets (Hybrid)

Citigroup Inc.; Tampa (FL); Hybrid; USD 87,000 - 131,000; Full time

Benefits offered by this job

Hybrid work model

Cross-functional exposure

Learning & development

Job summary

Citi seeks a Business Analyst and Data Analyst to join the Enterprise Data Office and Product Solutions team in Tampa. You will ensure data used for regulatory reporting and risk management is accurate and fit for purpose, collaborating with Markets, Risk, Finance, and Technology.

The role emphasizes data transformation, governance, and automation, with a hybrid work model and exposure to high-impact data challenges across Capital Markets and enterprise data governance.

Qualifications

• Five+ years in banking or financial services with data governance exposure.
• Experience driving data initiatives from analysis to execution with cross-functional teams.
• Proficient in SQL/Python/Excel for large data analysis.
• Familiar with prompt engineering and automation using generative AI.
• Knowledge of derivatives, repos or wholesale banking products.

Responsibilities

• Analyze end-to-end data flows for derivatives and SFTs across systems.
• Document data mappings and produce gap analyses for regulatory reports.
• Design data governance controls and data quality rules.
• Collaborate with Markets, Risk, Finance, Technology, and Data Engineering.
• Prepare functional specs for data transformations and aggregation rules.
• Perform daily variance analysis across trading books with precision.
• Build dashboards to automate variance reporting for stakeholders.
• Present findings in governance forums to support data-driven decisions.

Education

Bachelor's degree or equivalent professional experience

Tools

SQL

Python

Excel

AI tooling

Prompt engineering

Job description

Citi seeks a Business Analyst and Data Analyst to join the Enterprise Data Office and Product Solutions team in Tampa. You will ensure data used for regulatory reporting and risk management is accurate and fit for purpose, collaborating with Markets, Risk, Finance, and Technology.

The role emphasizes data transformation, governance, and automation, with a hybrid work model and exposure to high-impact data challenges across Capital Markets and enterprise data governance.