Sr. Analyst EDI and Data Integration

How You Will Make an Impact

Frida is seeking a detail-oriented and proactive Data Integration Senior Analyst to ensure accurate, reliable, and timely data movement across all operational systems. This role manages day-to-day integrations between platforms such as Net Suite, SPS Commerce, Azure Data Lake, and 3PL partners, while maintaining consistency and stability of transactional and master data. The analyst will validate and reconcile data flowing into the Azure Data Lake across all layers, identify and resolve integration or transformation issues, and strengthen overall data quality for analytics and reporting.

In addition, the role supports dashboard development by ensuring datasets are clean, complete, and aligned with business needs. This position works closely with the Enterprise Applications and business teams to maintain data integrity and support scalable automation and insights across the organization.

• Manage daily data integrations for order, inventory, invoice, and shipment transactions across internal and external systems.
• Support data exchange operations across platforms like SPS Commerce, Net Suite, Azure Data Lake, and internal dashboards.
• Troubleshoot and resolve data integration errors, mapping mismatches, and failed transactions in a timely manner.
• Monitor and document data workflows and interface health using logs, alerts, and reconciliation reports.
• Track KPIs related to data integration performance, including success rates, issue resolution time, and transaction latency to drive continuous improvement.
• Ensure compliance with industry standards and regulations for data integration and EDI transactions.
• Maintain integration specifications and mapping documentation for each trading partner and system interface.

• Clean, validate, and reconcile data flowing into the Azure Data Lake to ensure accuracy across raw, curated, and semantic layers.
• Identify data gaps, mismatches, and transformation issues and work with Master Data and business teams to resolve root causes.
• Monitor data pipelines, mappings, and refresh processes to confirm data is complete, timely, and aligned across systems.
• Validate that datasets powering dashboards reflect correct business logic and support accurate reporting for all functions.
• Partner with business data analysts to translate reporting needs into clear data requirements and ensure the lake structure supports those needs.
• Document data flow rules, transformations, and dependencies to support consistent analytics development and troubleshooting.
• Perform periodic data quality checks and reconciliation to maintain trust in the dashboards and analytics ecosystem.

• Provide support during go-lives, partner onboarding, and warehouse changes impacting system data flows.
• Support implementation and onboarding of new digital tools in Frida’s tech ecosystem, ensuring alignment with integration standards, system architecture, and business readiness.
• Participate in enhancement projects to improve automation, data quality, and reporting consistency.
• Participate in cross-functional projects to enhance data automation, minimize manual touchpoints, and support business scalability.
• Create process, design, and development templates.

• Bachelor’s degree in Information Systems, Computer Science, or a related field.
• 3-5 years of experience working with data integrations and operational data support.
• Familiarity with EDI standards (e.g., 850, 856, 810), APIs, and secure transfer protocols (e.g., SFTP, AS2).
• Hands‑on experience with Net Suite, Azure Data Lake, SPS Commerce, or other middleware/data platforms.
• Strong troubleshooting skills with a proactive approach to issue resolution and escalation.
• Understanding of supply chain, logistics, and finance data flows and dependencies.
• Ability to assess data accuracy and completeness for analytics and dashboard consumption.
• Familiarity with SQL or similar query tools to investigate data anomalies and verify transformations.
• Exposure to BI environments such as Power BI to understand how data structures impact reporting.
• Comfort working with…