Data Analyst

Summary

Join Alliance Animal Health as a Data Analyst and play a key role in creating, automating, and scaling reporting infrastructure. Reporting to the Data Analytics Manager, you will support leadership, operations, and clinical teams with actionable insights. You will work with data in Amazon S3 and manage the Tableau ecosystem. Proficiency in SQL, Excel, and Python is required, along with experience in cloud-based data warehouses. This remote role requires strong communication skills and a collaborative spirit. The ideal candidate will thrive in a fast-paced environment and have experience across the entire data ecosystem. This is a remote role, but you must be comfortable working EST time zone.

Requirements

• 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

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

Preferred Qualifications

Experience in a multi-unit environment a plus