Data Integration Analyst

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Onboard client trading data, which includes orders and executions, by defining normalized formats and transmission methods.

• Map source fields to the standardized schema and ensure feeds align with the standard loading process.

• Coordinate and integrate market data feeds, including determining requirements for Level 1 versus Level 2 depth.

• Collaborate with vendors to acquire market data and map pertinent fields to standardized formats.

• Manage news, corporate events, client reference data, and other vendor feeds in conjunction with the product team and R&D.

• Oversee integrations from start to finish, from initial samples through validated ingestion and UAT confirmation prior to production.

• Maintain documentation for mappings and source-to-target references.

• Monitor feed health and data quality, identify anomalies, and incorporate findings back into the process.

• Identify schema gaps and collaborate with R&D and relevant stakeholders to resolve them.

• Facilitate communication between technical specifications and client-facing dialogues.

⛳️ Requirements

• Bachelor's degree in Information Systems, Industrial/Software Engineering, Computer Science, Data Analytics, or a related field — or equivalent practical experience.

• 5+ years of experience in a data integration, data analyst, technical onboarding, or business/operations analyst role.

• Strong attention to detail and a systematic, methodical approach to data mapping and validation.

• Excellent analytical skills; comfortable working with structured data, schemas, field-level mapping, and tabular formats (e.g., CSV, XML, JSON).

• Outstanding communication and stakeholder management skills; capable of bridging technical and business discussions with both R&D and clients.

• Strong service orientation and ownership — able to manage an integration from specification to validated, end-to-end delivery.

• Familiarity with data integration / ETL / adapter development workflows.

• Experience with scripting or querying (e.g., Python, SQL) for data inspection and transformation.

• Knowledge of financial/market data or trading systems and their data requirements.

• Understanding of Level 1 versus Level 2 market data and concepts related to order/execution lifecycles.

🏝️ Benefits

• Comprehensive benefits package including medical, dental, and vision insurance.

• Opportunities for professional development and continuous learning.

• Flexible work arrangements to support work-life balance.

• Collaborative and inclusive company culture.