Taxonomy Analyst

Responsibilities

• Design, build, and maintain dashboards and reports that support product insights, data quality, and financial performance.
• Query, clean, and analyze large datasets from veterinary practice management systems using SQL.
• Build and understand taxonomy development and consumption through various data pipelines.
• Perform data mapping using various product and patient demographic taxonomies.
• Partner with software engineers to translate clinical workflows into data requirements.
• Identify trends, anomalies, and opportunities in hospital performance data and communicate findings to both technical and non-technical audiences.
• Support data integrity initiatives, including data validation, reconciliation, and documentation of data pipelines.
• Develop a deep understanding of the veterinary business ecosystem, including how hospital data flows through scheduling, invoicing, medical records, and client communications.
• Collaborate cross-functionally on ad hoc analytical requests from operations, finance, product, and leadership teams.
• Advance AI tooling initiatives by providing QA for machine learning and normalization model outputs.
• Contribute to the development of KPIs, metrics frameworks, and data governance standards.

• 2+ years of experience in a data analyst, business intelligence, or related role.
• Proficiency in SQL, comfortable with writing complex queries, joins, subqueries, and aggregations.
• Exceptional communication skills, with a demonstrated ability to explain nuanced veterinary industry concepts to highly technical software engineers and translate technical data constraints back to non‑technical stakeholders.
• Proven ability to work independently, manage competing priorities, and deliver in a fast‑paced environment.
• Experience in the veterinary industry, animal health, or related healthcare setting.
• Strong data visualization skills; experience with tools such as Tableau, Power BI, Data Bricks Dashboards.
• In‑clinic experience, whether as a veterinary technician, practice manager, receptionist, or other patient‑fac­ing role is a significant plus.
• Familiarity with veterinary practice management software (e.g., Pulse, Impromed, AVImark, etc).
• Understanding of the broader veterinary business ecosystem and how hospital data drives outcomes across analytics, client experience, and financial reporting.
• Experience with Python for data analysis and automation.
• Experience working with ETL pipelines, data warehouses, or cloud data platforms (e.g., Snowflake, Data Bricks, dbt).
• Knowledge of healthcare or veterinary data standards and compliance considerations.