Business Analyst - Medical Device

Business Analyst with medical device and veterinary analyzers experience

Key Responsibilities:


Veterinary Diagnostic Systems Expertise:

• Analyze and translate business and user needs into system designs tailored for veterinary analyzers (chemistry, hematology, pathology).

• Collaborate with R&D and OEM teams on device integration, firmware/software lifecycle, and interoperability.

• Evaluate and document diagnostic equipment performance and interface compatibility (e.g., LIS, PIMIS).
Cloud & On-Prem Integration (Azure-Focused):

• Design hybrid architecture connecting on-prem OEM systems to Azure cloud services (IoT Hub, Azure Data Factory, Azure Synapse, Blob Storage).

• Lead efforts in cloud migration, device telemetry ingestion, data lakes, and secure access control via Azure Active Directory.

• Manage APIs and data pipelines supporting real-time diagnostics, alerts, and compliance logging.
OEM and Edge Technology

Collaboration:



• Work closely with OEM hardware/software vendors for embedded system integrations, SDK utilization, and device lifecycle management.

• Validate compatibility of local diagnostic equipment with cloud-enabled analytics, dashboards, and mobile platforms.
Precise Reporting and Data Management:

• Define and build structured reports for diagnostic trends, device utilization, error rates, and lab throughput.

• Leverage Power BI, Azure Monitor, and custom dashboards for near-real-time visualizations and KPI tracking.

• Ensure traceability, audit-readiness, and compliance.
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Required Skills and Qualifications:

• Bachelor's/Master's in Biomedical Engineering, Computer Science, or related technical discipline.

• 10+ years of experience in system analysis, healthcare IT, and medical or veterinary device integration.

• In-depth knowledge of chemistry, hematology, and pathology analyzers from key OEMs (e.g., IDEXX, Abaxis, Heska, etc.).

• Proven hands-on experience with Azure Cloud services including IoT, Dev Ops, Data Factory, Key Vault, and ARM templates.

• Familiarity with device communication protocols (HL7, ASTM, POCT1-A, serial, TCP/IP).

• Strong documentation and reporting capabilities using Power BI, SQL

• Experience in data privacy, cybersecurity, and regulatory frameworks for diagnostic devices.
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Preferred:

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Certifications:

Microsoft Certified:
Azure Solutions Architect Expert / Azure IoT Developer

• Experience with Agile/Scrum methodologies and Dev Ops tool chains (Terraform, Git Hub Actions, Azure Dev Ops).

• Background in veterinary or animal health domain-specific data analytics and workflow optimization #J-18808-Ljbffr