Associate Data Operations Analyst

About Rimes

Rimes provides the Intelligence Fabric for Capital Markets, a trusted data network and intelligence architecture that transforms fragmented data, operations and workflows into decision-grade intelligence. The world’s leading institutional investors, asset managers, and service providers rely on Rimes to help them make better investment decisions that power more than US$ 75 trillion in AUM annually.

The Opportunity:

The Data Service Operations team at Rimes is accountable for monitoring late inbound data, investigating issues, communicating with external Data Partners for remediation, and working with Performance Operations to apply ad hoc fixes to database data where required. This requires a thorough understanding of the data pipeline.

Members of the team are responsible for diagnosing issues quickly, liaising with Data Partners, and working with Performance Operations to apply ad hoc fixes to database data where required. During this process, there is also a responsibility to ensure that clients are kept informed on the progress, and that requests and issues are resolved in a timely manner.

As an Associate within the team, you would support the Data Service Operations team by monitoring and investigating late inbound data, liaising with Data Partners and internal teams, working with Performance Operations to apply ad hoc fixes to database data where required, and helping to ensure that clients are kept informed while requests and issues are resolved in a timely manner.

Key Responsibilities:

•Investigate late file delivery and processing delays in a timely manner, identify root causes, and determine the appropriate remediation steps

•Liaise externally with Data Partners about missing files or data, and liaise internally with Data Developers on remediation actions

•Coordinate with Operations teams to uphold SLA commitments

•Serve as an escalation point for the Rimes Global Support team on file delivery queries

•Support the maintenance of the operational integrity of Rimes’ data quality

•Work with Performance Operations to apply ad hoc fixes to database data where required

•Support the implementation of sustainable fixes for recurring late data issues, collaborating with other stakeholders

Requirements:

•A detail‑driven operator with strong analytical skills, ensuring every action is handled with precision - even under deadline pressure.

•A proactive and innovative problem‑solver who looks beyond the immediate entitlement request to identify smarter, more scalable ways of ways of working.

•AI-aware and tool-adaptable. Comfortable using AI-enabled tools to accelerate investigation, while applying sound judgement.

•Rapid learner in changing environments. Quick to learn new workflows and systems, adapting to tooling changes and making effective use of automation. …

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