Data Analyst, Investment Data Architecture

Role overview

What you will do

• Translate stakeholder needs into business requirements, definitions, rules and acceptance criteria.
• Support trusted, reusable investment data products through intake, definition, readiness and ongoing stewardship.
• Develop conceptual and logical data models; validate transformation rules and source-to-target mappings with engineers and business teams.
• Define data quality rules and critical data elements, analyze exceptions and reconciliation breaks, and advise on investment reference data.
• Document models, mappings, data flows, processes, glossary, definitions and lineage.
• Contribute to strategic project requirements, testing and release validation; identify data usability and efficiency improvements.

What you bring

• Degree in Finance, Commerce, Business Analysis or a related field.
• Three to five years in investment management or financial services, ideally in data management, investment operations or business analysis.
• Hands-on knowledge of equity, fixed-income or derivative data.
• Ability to elicit and document requirements, facilitate working sessions and define acceptance criteria.
• Understanding of data quality, ownership, governance and metadata; strong communication and detail orientation.

Additional assets

• CFA or FRM progress; security master, pricing or EDM platform experience; SQL; Python, PySpark, Lakehouse or Microsoft Fabric familiarity.
• Exposure to conceptual or logical modeling and defining data entities, relationships and business rules.

Compensation

• Expected base salary range is $85,000–$120,000. The description does not specify salary cadence.

Work arrangement

• Hybrid working model combining in-office and remote days.