Senior Reference Data Product Analyst

Citigroup Inc.; Belfast City District; On-site; GBP 55,000 - 75,000; Full time

Job summary

Citigroup Inc. is seeking a Technology Product Management Senior Analyst to bridge business users, operations, and technologists. You will define product requirements, manage backlogs, and drive platform enhancements within the Global Corporate Action Event Repository.

You will contribute to data analysis and feature definition, while working with data vendors and internal partners to ensure data quality and timely delivery across global teams.

Qualifications

• Bachelor's degree in a related field or equivalent experience.
• 3+ years of relevant analytics/product management experience.
• Proven ability to write clear functional/technical specifications and user stories.
• Experience collaborating with IT, PM and Operations partners.
• Experience with data governance and data quality concepts preferred.
• Strong analytical and written communication skills.
• Awareness of AI/GenAI fundamentals and AI-ready data concepts.

Responsibilities

• Create Business and Function Requirements.
• Data Modelling and Mapping.
• Data Mining and Transformation tasks.
• Develop Interfaces - Web GUI / API.
• Define EPICs and User Stories from Client Requirements.
• Collaborate with Stakeholders and cross-functional teams.
• Document and train users on new features.
• Identify opportunities for automation and AI-ready data use cases.

Skills

SQL Proficiency

Data Modelling

Data Transformation

Requirements Gathering

Stakeholder Collab

Documentation

GenAI basics

Education

Bachelor's degree

Job description

Citigroup Inc. is seeking a Technology Product Management Senior Analyst to bridge business users, operations, and technologists. You will define product requirements, manage backlogs, and drive platform enhancements within the Global Corporate Action Event Repository.

You will contribute to data analysis and feature definition, while working with data vendors and internal partners to ensure data quality and timely delivery across global teams.