Data Analyst

Alliance Animal Health is a fast-growing Veterinarian Service Organization that operates as a majority owner and business partner to many veterinarian practices across the US. Our goal is to make it easier for our practices at every step by providing world-class business solutions like talent acquisition, marketing, human resources, finance, and operations, so that they can focus their energy on providing incredible care for animals. In fact, our Core Values are (quite literally) written with PETS in mind: Passion, Engagement, Trust and Service. 
 
We want our doctor partners to choose what's best for their practice because they are the experts in medicine, while we customize the support, the co-ownership approach, and business solutions based on their goals. We pride ourselves on maintaining a culture of open communication and collaboration to deliver innovative solutions to advance today's veterinary environment - without disrupting the medical autonomy and what makes each of our hospitals unique. Because at the end of the day, our central support team exists to serve our practices. So, if you're excited about using your talents to make an impact on the health and wellness of pets - we'd love to talk with you! 

This is a remote role, but you must be comfortable working EST time zone.

We are seeking a curious, collaborative, and technically skilled Data Analyst to join our Analytics team. Reporting to the Data Analytics Manager, you will play a key role in creating, automating, and scaling reporting infrastructure across Alliance Animal Health. Your work will directly support leadership, operations, and clinical teams with actionable insights to drive performance and growth.

You'll be working with data stored in our Amazon S3 data warehouse and will be responsible for designing, managing, and enhancing our Tableau ecosystem. You should be fluent in SQL and Excel, experienced with Python for data transformation, and confident building compelling dashboards that bring data to life.

The ideal candidate has experience across the entire data ecosystem from a data warehouse to marketing channels to ad hoc reports. He or she will thrive in a fast-paced, entrepreneurial environment with a no-job-too-big or small attitude. He or she will have a mix of inquisitiveness, learning agility, emotional intelligence, and drive for success. This individual will work closely with stakeholders across the organization to develop our key reports that generate invaluable business insights.

Responsibilities

• Work with the Data Analytics manager to develop, automate, and scale reports and dashboards using data from our Redshift warehouse
• Own and manage the Tableau ecosystem, including dashboard creation, data source management, and administrative governance
• Write complex SQL queries to extract, clean, and analyze large datasets
• Use Python for data wrangling, automation, and exploratory analysis as needed
• Collaborate with stakeholders across departments to understand data needs and deliver impactful solutions
• Support ongoing reporting needs for key departments such as operations, marketing, strategy, and finance
• Ensure data integrity, consistency, and accuracy across all reporting tools
• Identify and implement process improvements and automation opportunities
• Document data definitions, processes, and technical solutions for team knowledge-sharing

• 2-4 years of experience in a data analyst, business intelligence, or similar role
• Strong proficiency in SQL and Excel (pivot tables, lookups, data modeling)
• Proficient in Python for data analysis, automation, or scripting
• Advanced Tableau skills-able to build complex, interactive dashboards and manage multiple data sources
• Experience working with cloud-based data warehouses (S3, Redshift, Snowflake, etc.)
• Strong communication skills with the ability to translate data insights into business recommendations
• Detail-oriented with a commitment to data accuracy and clarity
• Experience in a multi-unit environment a plus

WE ARE A DRUG-FREE, SMOKE-FREE, EQUAL OPPORTUNITY EMPLOYER.

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