Sr. Business Systems Analyst

We are seeking an experienced senior Business Systems Analyst to support the evaluation and implementation of a new investment data platform. Operating within the Investment Decision Support (IDS) team, this role serves as a vital bridge connecting investment data to high-level analysis.

The primary focus is to assess current-state operations, data flows, and systems, and partner with investment stakeholders to define future-state capabilities that ensure long-term data integrity, visibility, and availability.

Location & Work Arrangement

• City, State: Richmond, VA
• Work Arrangement: Hybrid (Onsite requirements apply).
• Interview Mode: Webcam or In-Person (In-Person preferred).
• Shift: EST.

Key Responsibilities

Requirements Elicitation & Process Mapping

• Partner with financial stakeholders to document current-state processes, system dependencies, and complex data flows.
• Conduct interviews and dynamic working sessions to capture business needs and translate them into technical platform requirements.
• Define and design future-state workflows and operational operating models tailored to the new investment data platform.

Data Governance & Platform Implementation

• Create and maintain detailed current-state assessments, future-state architecture designs, and data flow diagrams.
• Assist directly with data mapping, cross-system validation, and reconciliation activities during platform migration.
• Support ongoing data analysis, reporting, and process refinements as the new data infrastructure stabilizes.

Testing & Change Management

• Develop and execute comprehensive testing strategies, including User Acceptance Testing (UAT), to validate delivery capabilities.
• Manage transition activities and provide strategic change management support to drive team adoption of the new system.

Required Skills & Experience

Preferred Qualifications

• Domain Knowledge: Direct experience in the investment management or financial markets industry.
• Data & Analytics: Practical experience writing scripts in SQL or Python.
• Visualization: Dashboard creation using Power BI, Tableau, or SSRS.
• Automation: Familiarity with Robotic Process Automation (RPA) tools like Power Automate.