Data Integration Analyst

You onboard and normalize external trade, market, reference, news, and corporate-event data into a standardized schema. You map source fields, coordinate with clients and vendors, validate feeds through UAT, maintain documentation, monitor data quality, and resolve schema gaps with product and R&D teams.

Responsibilities

• Onboard client trade data into the normalized target format
• Specify transmission methods including flat files, SFTP, APIs, Kafka JSON, and FIX
• Map source fields to the standardized schema
• Coordinate and integrate market data feeds
• Scope market-data requirements including Level 1 and Level 2 depth
• Work with vendors to obtain market data
• Handle news, corporate-event, client-reference, and other vendor feeds
• Drive integrations from initial samples through validated production ingestion
• Maintain mapping documentation and source-to-target references
• Monitor feed health and data quality
• Flag anomalies and communicate schema gaps to stakeholders

Requirements

• Bachelor's degree in Information Systems, Industrial or Software Engineering, Computer Science, Data Analytics, or a related field, or equivalent practical experience
• 5+ years of experience in data integration, data analysis, support, technical onboarding, or business and operations analysis
• High attention to detail and a structured, methodical approach
• Strong analytical skills and comfort with structured data, schemas, field-level mapping, and tabular formats
• Excellent communication and stakeholder management skills
• Strong service orientation and ownership
• Exposure to data integration, ETL, or adapter development workflows
• Scripting or query experience such as Python or SQL
• Experience with financial or market data or trading systems is a plus
• Familiarity with Level 1 and Level 2 market data and order and execution lifecycle concepts is a plus