JOB SUMMARY:

The Business Information Management Analyst plays a critical role in supporting data and analytics initiatives. The role involves independently leading technical efforts and information management processes to assess, integrate, and present complex data in support of strategic decision-making for a global financial institution. This position offers high-impact exposure to fixed income systems and opportunities to develop solutions that enhance business insight across global markets.

REQUIRED EXPERIENCE:

• 5–7 years of experience in data analysis, business intelligence, or a related field
• Undergraduate degree in business administration, mathematics, statistics, finance, or a related discipline
• Strong analytical and problem-solving skills
• Experience working with large datasets and enterprise-level BI tools

NICE-TO-HAVE EXPERIENCE:

• Exposure to financial institutions and fixed income systems
• Experience with team projects in a collaborative setting
• Familiarity with enterprise data models and OCDO standards

REQUIRED SKILLS:

• Microsoft Excel

PREFERRED SKILLS:

• Tableau
• Power BI
• Alteryx
• Python (bonus)

ADDITIONAL SKILLS:

• Excellent oral and written communication
• Ability to manage multiple priorities and meet deadlines
• Ability to work autonomously and in team environments
• Experience with ETL processes and data wrangling
• Familiarity with data roadmaps and information strategy development
• Professional discretion with confidential data

• Lead technical information management processes including data mapping, transformation, and analytics
• Drive data-centric solution development, especially large dataset integration
• Collaborate cross-functionally and communicate effectively with stakeholders (50% stakeholder interaction)
• Translate business requirements into scalable data models and structures
• Provide support for Tableau, Power BI, and related tools
• Educate stakeholders on available data solutions and repositories
• Maintain awareness of emerging technologies in business information management
• Lead projects involving complex risks and resource considerations
• Support the development of data strategies aligned with enterprise standards