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Data Analyst II

IDEXX

Westbrook, Maine, United StatesOn Site

Original Job Summary

Data Analyst II at IDEXX

As a Data Analyst in the Veterinary Software organization at IDEXX, you will design, build, and deploy data tools and artifacts that provide critical visibility and insight to our senior leadership team. Your work spans the entire software portfolio, supporting cross-functional departments like Sales, Marketing, and Product with value-driven analysis and reporting.

Role Responsibilities

  • Partner with senior stakeholders to deliver high impact reporting and recommendations.
  • Design and implement standard and ad hoc data tools and visualizations.
  • Provide analytical support for various initiatives and programs.
  • Present data stories and insights to leadership teams.
  • Develop expertise in IDEXX data systems and propose new datasets.
  • Identify and address data issues and gaps across systems.

Required Skills and Experience

  • 2-5+ years in quantitative analysis and data visualization.
  • Experience with SQL and data warehousing platforms like Snowflake.
  • Proficiency with visualization tools such as Sigma, Tableau, or Looker.
  • Interest in leveraging GenAI and Agentic AI for insights.
  • Strong presentation skills to communicate data driven stories.

About IDEXX

IDEXX is an innovation leader committed to maintaining animal health, safe drinking water, and agricultural biosecurity. With customers in over 175 countries and a global workforce of over 10,000, IDEXX supports a diverse and collaborative work environment.

Key skills/competency

  • Data Analysis
  • SQL
  • Data Visualization
  • Reporting
  • Stakeholder Management
  • Snowflake
  • Tableau
  • GenAI
  • Problem Solving
  • Collaboration

How to Get Hired at IDEXX

🎯 Tips for Getting Hired

  • Customize Your Resume: Tailor experiences to data and analytics.
  • Showcase Portfolio: Highlight relevant data projects and dashboards.
  • Research IDEXX: Understand IDEXX culture and business impact.
  • Practice SQL Interviews: Revise queries and data modeling basics.

📝 Interview Preparation Advice

Technical Preparation

Review SQL queries and optimization strategies.
Practice data modeling on Snowflake platform.
Familiarize with Tableau or Looker tools.
Update skills in data visualization techniques.

Behavioral Questions

Describe a time you solved data issues.
Explain handling competing project deadlines.
How do you communicate complex findings?
Share a successful collaboration experience.