Essential Job Duties

• Data Monitoring & Analysis: Continuously monitor data flows and system integrations to identify, troubleshoot, and resolve anomalies or discrepancies in real time.
• Interoperability Enhancement: Ensure systems and applications within the organization and with external partners are effectively communicating, sharing data, and integrating as designed.
• Performance Metrics & Reporting: Analyze key performance indicators (KPIs) related to integrations and operations, delivering insights and reports to stakeholders to drive data-driven decision-making.
• Issue Resolution: Work closely with the integration engineering and operations teams to resolve any data integration issues, ensuring seamless communication and minimal downtime.
• Process Improvement: Identify inefficiencies in existing data flows and propose optimizations to enhance integration performance and data quality.
• Stakeholder Collaboration: Collaborate with cross-functional teams including IT, engineering, product development, and external partners to ensure successful data exchanges and integrations.
• Documentation: Maintain comprehensive documentation of integration workflows, data mappings, issue resolutions, and process improvements.

Other Job Duties

• Other duties as assigned by supervisor or HHAeXchange leader.

Travel Requirements

• None

Required Education, Experience, Certifications and Skills

• 2-5 years of experience in data analysis, with a focus on systems integration or interoperability.
• Strong knowledge of data transformation, mapping, and data pipeline optimization. 
• Excellent problem-solving skills and the ability to quickly identify, diagnose, and resolve data issues.
• Experience in a fast-paced operations or command center environment is a plus.
• Strong communication and collaboration skills to effectively work with both technical and non-technical stakeholders.
• Preferred Skills:
• Bachelor’s degree in data science, Information Systems, Computer Science, or a related field.
• Familiarity with SQL, Python, or other data querying and scripting languages.
• Experience with EDI, X12, or HL7 standards for interoperability.
• Working knowledge of cloud platforms (e.g., AWS, Azure) and data integration in cloud environments.
• Familiarity with monitoring tools and dashboards for real-time data analysis (e.g., Datadog).
• Experience working with APIs, ETL tools, and integration platforms (e.g., EDI, Mirth.).