Data Analyst
2 weeks ago
We are working with a top-performing commodities desk at a leading hedge fund that are seeking a Data Operations Specialist to bridge the gap between analysts, engineers, and third-party data vendors. This is a unique opportunity to work at the intersection of data management and trading, where your contributions directly support PnL generation.
About the Role
In this role, you will:
- Streamline Data Workflows: Manage and monitor data scrapes, ensure reliability, and decommission outdated pipelines when necessary.
- Partner with Analysts: Understand their data needs, ensure delivery of actionable datasets, and troubleshoot issues quickly.
- Coordinate with Vendors: Collaborate with third-party providers to resolve data format or quality issues, ensuring smooth and accurate data flow.
- Collaborate Cross-Functionally: Work closely with engineering teams for technical adjustments and with desk leads to align on priorities and escalations.
- Light Scripting & Querying: Use SQL and basic Python for data validation, automation, and operational support.
This is a high-visibility role where you’ll navigate diverse personalities, build strong relationships, and take ownership of critical data operations.
What We’re Looking For
The ideal candidate will have:
- Data Management Skills: Experience working with third-party data vendors and managing operational pipelines.
- Top-Tier Communication: Exceptional interpersonal skills to build rapport with analysts, engineers, and vendors alike.
- Highly Organized Approach: A knack for managing multiple workflows, ensuring data reliability, and proactively identifying solutions.
- Adaptability: A collaborative mindset to navigate a fast-paced trading environment.
- Technical Skills: Proficiency in SQL and familiarity with Python or other scripting tools would be desirable. Good reference data experience required.
Experience in financial services or commodities trading is a plus but not required.
If you feel this meets your experience, apply today
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