Data Analyst, Finance Technology

About the role

Develop source-to-target mappings, data dictionaries, process flows, requirements, and traceability artifacts in collaboration with the teams responsible for implementation. Frame requirements clearly enough for the Finance Technology Data Solutions Engineer, Enterprise Data Engineering, Centralized Reporting / BI, and application teams to design, build, test, and deliver solutions that meet business objectives.

What you'll do

• Identify sources of truth, data owners, business definitions, transformation points, downstream consumers, dependencies, controls, and process handoffs
• Analyze current-state processes and data flows to identify manual work, duplicate logic, data issues, control gaps, and standardization opportunities
• Translate Fund Accounting needs into clear business, data, integration, reporting, and broader consumption requirements for the appropriate delivery teams
• Define field definitions, measures, calculations, dimensions, filters, hierarchies, business rules, mappings, acceptance criteria, and expected outcomes
• Use SQL and structured analysis to profile data, compare sources, identify anomalies, trace records, quantify breaks, and support root-cause analysis

What you need

• 3–8 yrs of experience
• Dashboarding
• SQL
• Power BI
• ETL
• Data analysis
• Excel
• B.Com

Good to have

• SQL Server
• Python
• Reconciliation
• Root cause analysis
• Test cases
• Financial reporting