Principle Analyst, Procurement Data & Analytics

Star Valley Veterinary Clinic; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

National Veterinary Associates (NVA) is seeking a Principal Data Analyst to transform complex procurement data into scalable analytics, dashboards, and self-service reporting across the enterprise.

You will design data pipelines, manage data quality, and collaborate with stakeholders to drive informed decisions using Power BI, Oracle FDI, and Fabric in a large, growing veterinary network.

Qualifications

• Advanced analytics and data storytelling for procurement, spend, and supplier data.
• Experience delivering self-service reporting and dashboards to business stakeholders.
• Strong communication and collaboration across IT and business teams.

Responsibilities

• Design and improve automated data preparation and transformation processes with Oracle Fusion, Fabric, Azure, Python, SQL.
• Develop, monitor, and maintain API-based data integrations to support centralized reporting.
• Ensure data accuracy and governance across multiple sources.
• Manage data assets for enterprise reporting and analytics.
• Develop data standards, processes, and documentation.
• Maintain data lineage and version control for datasets.
• Onboard new data sources and ensure reliable data ingestion.
• Support scalable data models, pipelines, and reporting datasets for self-service analytics.
• Create and maintain dashboards and analytics using Power BI, Fabric, FDI, and Oracle Analytics.
• Develop reporting datasets, semantic models, metrics, and KPIs.
• Analyze procurement data to identify trends and opportunities.
• Integrate data from APIs and enterprise applications into reporting models.
• Document business logic and data definitions for consistent reporting.
• Recommend enhancements to reporting architecture and visualization standards.
• Represent procurement data needs with the BI team.

Skills

Data analytics

Power BI

SQL

Data modeling

ETL/ELT

API integrations

Education

Master’s degree in data analytics

Tools

Microsoft Fabric

Azure

Oracle FDI

Oracle Analytics

Job description

Hospital Name: National Veterinary Associates

Job Type: Support Center

Employment Type: Permanent

Description & Requirements

Overview National Veterinary Associates (NVA™) is the largest private owner of freestanding veterinary hospitals in the United States. NVA owns over 1,000 companion animal veterinary hospitals and boarding facilities worldwide. Our mission is to improve the comfort and well-being of patients by providing progressive and compassionate veterinary care.

The ideal candidate has 4-7 years of experience transforming complex data into meaningful reporting and analytics solutions within large organizations. This individual combines strong analytical and technical capabilities with the ability to independently engage business stakeholders, gather requirements, and deliver self-service reporting solutions that drive informed decision-making.

The Principal Data Analyst will work extensively in Microsoft Fabric, Azure, Oracle Fusion Data Intelligence (FDI), Oracle Analytics, Power BI, SQL, and enterprise procurement systems to develop scalable datasets, dashboards, and self-service reporting tools. This role offers the opportunity to help shape Procurement's analytics strategy within a rapidly growing organization at the forefront of veterinary care.

Key Responsibilities

• Design and improve automated data preparation and transformation processes using Oracle Fusion, Microsoft Fabric, Azure, Python, Power Query, SQL, and related technologies.
• Develop, monitor, and maintain API-based data integrations between internal and external systems to support centralized reporting and analytics.
• Ensure the accuracy, consistency, and integrity of data across multiple sources.
• Manage and maintain data assets to support enterprise reporting and analytics.
• Develop and follow data management standards, processes, and documentation.
• Maintain version control and establish data lineage policies to augment governance of critical datasets.
• Partner with business and technical teams to onboard new data sources and ensure reliable data ingestion processes.
• Support the development of scalable data models, pipelines, and reporting datasets that enable self-service analytics.
  
• Design, develop, and maintain dashboards, reports, and analytics solutions using Power BI, Microsoft Fabric, Oracle Fusion Data Intelligence (FDI), and Oracle Analytics.
• Create and optimize reporting datasets, semantic models, measures, and KPIs.
• Analyze procurement, supplier, and spend data to identify trends, opportunities, and business insights.
• Integrate data from APIs, enterprise applications, and third-party platforms into reporting solutions and data models.
• Develop and maintain documentation, business logic, and data definitions to ensure consistent reporting.
• Recommend enhancements to reporting architecture, visualization standards, and analytical processes.
• Serve as a representative of Procurement interests and data needs in partnership with the Business Intelligence team.

Skills and Specifications

• Demonstrated ability to independently lead stakeholder discussions, gather requirements, and manage reporting projects.
• Advanced proficiency in Oracle FDI/OTBI, Power BI, SQL, Excel, and enterprise reporting platforms.
• Professional-level skills with DAX, Power Query, and SQL development.
• Experience designing scalable datasets, semantic models, dashboards, and self-service reporting solutions.
• Expertise developing analytics and reporting solutions within Microsoft Fabric, Azure, and Oracle Fusion Data Intelligence (FDI).
• Strong understanding of data engineering and business intelligence concepts, including ETL/ELT processes, data modeling, data transformation, data governance, and API-based data integration.
• Experience developing, supporting, and troubleshooting API integrations and automated data ingestion processes from enterprise and third-party applications.
• Experience working with large, complex datasets and multiple enterprise data sources.
• Proficiency in Python, R, VBA, or other reporting automation tools is preferred.
• Strong analytical skills with the ability to identify trends, patterns, and opportunities within large datasets.
• Working knowledge of financial concepts, including GL coding, fiscal reporting, spend analysis, and year-over-year comparisons.
• Excellent organizational, problem-solving, and time-management skills.
• Strong written and verbal communication skills with the ability to work effectively with business leaders and operational teams.
• Advanced proficiency in Microsoft Office applications, including Excel, PowerPoint, Outlook, Word, and Teams.

Qualifications

• Master’s degree in data Analytics, Data Engineering, Finance, Statistics, Computer Science, Business Analytics, Marketing, Mathematics, Healthcare Administration, or equivalent work experience
• Minimum of 4-7 years of experience in an analyst role or related responsibilities
• Excellent communication skills and collaborative attitude