Enterprise Data Support Analyst

Company Overview: A leading global alternative investment manager focuses on private equity, credit, and real estate investments. They are seeking an Enterprise Data Support Analyst to join their team in a hybrid role that blends data support and investment operations. Job Responsibilities: • Monitor and manage Jira tickets related to data issues across investment systems. • Perform initial triage and root cause analysis of support tickets; escalate as needed. • Communicate effectively with stakeholders on issue status and resolution timelines. • Partner with Data, Risk, Engineering, and other internal teams to address complex data issues. • Document recurring issues and resolutions to build a robust knowledge base. • Support the full lifecycle of trades: booking, reconciliation, settlement, and exception resolution. • Oversee position and cash reconciliations across custodians, accounting systems, and Bloomberg. • Maintain and enhance the accuracy of the Security Master and trade data across platforms. • Identify and implement process improvements and data automation initiatives. • Support onboarding of new products, accounts, and counterparties with accurate system integration. • Contribute to audit readiness by ensuring consistent documentation and process standardization. • Uphold data governance standards and ensure data integrity across systems. • Collaborate with cross-functional teams to align on trade and data workflows. • Participate in ongoing projects involving new system integrations, process enhancements, and scaling initiatives. Qualifications: • Bachelor’s degree in finance, information systems, computer science, or related field. • 5+ years of experience in investment operations or data support roles within financial services. • Deep understanding of the trade lifecycle and related operational processes. • Experience with data support tools (e.g., Jira) and comfort navigating data platforms. • Proficiency in managing structured credit, bank debt, derivatives, and other complex instruments. • Strong reconciliation, problem-solving, and troubleshooting skills. • Effective communicator with strong documentation habits and stakeholder engagement experience. • Familiarity with platforms such as ThinkFolio, Aladdin, SS&C Geneva, Clearwater, or similar systems is a plus. • Proven track record of identifying process inefficiencies and implementing automated solutions. Compensation: Pay Rate: $50 – $90/hr The post Enterprise Data Support Analyst appeared first on Landing Point.