Associate, Finance Technology Data Analyst

About this role

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Skills you'll use

What you'll do

• PRIMARY FUNCTIONS & RESPONSIBILITIES
• Business process and data understanding
• Develop a detailed understanding of how Fund Accounting data is created, enriched, transformed, reviewed, reconciled, approved, and consumed.
• Work with Fund Accounting, Data Governance, and Data Product Management to define business problems, intended outcomes, priorities, users, business rules, data ownership, and acceptance criteria.
• 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.

Who can apply

• 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.
• Partner with Data Governance and Data Product Management on data ownership, definitions, quality expectations, lineage, control requirements, prioritization, and decision records.
• 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.
• Data investigation, reconciliation, and testing
• Use SQL and structured analysis to profile data, compare sources, identify anomalies, trace records, quantify breaks, and support root-cause analysis.
• Perform field-level and aggregate analysis to distinguish source, transformation, reference-data, integration, and reporting issues.
• Partner with Fund Accounting, Data Governance, Data Product Management, engineering, and reporting teams to define validation rules, tolerances, exception categories, ownership, and remediation expectations.
• Develop and execute reconciliation, integration, regression, edge-case, reporting, and production-validation test scenarios as part of the broader delivery team.

About Ares Management

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