Technical Data Implementation Analyst

• Configure database environments to ingest, normalize, and distribute client data.

• Map data formats from various sources into standardized schemas required for internal or client facing systems.‑facing systems.

• Maintain mappings and transformation logic to support reconciliation and other downstream workflows.

• Review and validate normalized data to ensure accuracy, completeness, and consistency.

• Lead the data normalization workstream for new client implementations, including requirements gathering, mapping, configuration, and testing.

• Partner with project managers to execute against project timelines and deliver high-quality onboarding experiences. Quality onboarding experiences.

• Set up new data sources, file specifications, and internal system profiles as part of onboarding and ongoing maintenance.

• Monitor database performance, job health, and data processing throughput.

• Identify and troubleshoot issues related to data ingestion, normalization, or distribution.

• Work with Development and Engineering to optimize performance, scale processing, and enhance automation.

• Maintain detailed source profiles to ensure clear documentation of attributes, layouts, and nuances for each data feed.

• Update internal data source libraries as new feeds are onboarded or formats change.

• Collaborate closely with Data Acquisition, Development, Client Services, and Reconciliation teams to ensure data flows smoothly end-to-end.

• Support internal and client testing (UAT and production cutover).

• Participate in process improvement initiatives to enhance quality, reliability, and scalability.

• Strong analytical skills and the ability to interpret and transform structured financial or operational data.

• Experience with data mapping, file formats (CSV, XML, JSON, SWIFT, FIX, etc.), and schema definitions.

• Comfort working with databases (preferably SQL) and understanding data relationships.

• Ability to manage multiple client implementations and data mapping tasks simultaneously.

• Excellent documentation habits with strong attention to detail.

• Effective communication skills—both technical and business oriented.‑oriented.

• Familiarity with reconciliation workflows or middle/back-office operations and office operations is a plus.

• Highly organized, with the ability to juggle competing priorities and deadlines.

• Strong ownership mindset; sees tasks through from requirement-gathering to delivery.

• Curious and eager to understand how data flows across systems.

• Calm and methodical when troubleshooting complex data issues.

• Collaborative and comfortable working with technical teams.