Dairy Predictive Analytics Specialist

Zoetis; Michigan; On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Health benefits from day one

401K plan with match

4 weeks vacation

Job summary

Zoetis seeks a data analytics engineer to design and optimize SQL queries powering predictive dairy algorithms and customer analytics. You will partner with business leaders, data scientists, and implementation specialists to translate objectives into scalable data solutions and ensure data integrity across platforms.

You will manage data transformations, document data structures, and support lifecycle management of analytics.

Qualifications

• Bachelor's degree in Animal Science, Computer Science, Information Science, Data Science, Information Systems, or related field.
• 3+ years with relational SQL databases, including query writing, optimization and tuning.
• 2+ years in animal agriculture data ecosystems or dairy experience.
• Ability to manage multiple projects concurrently and communicate with stakeholders.

Responsibilities

• Design, write, and optimize SQL queries powering dairy predictive analytics.
• Support deployment and lifecycle management of dairy analytics and algorithms.
• Perform data mapping and modeling to translate requirements into specifications.
• Conduct quality checks for data completeness and production readiness.
• Prepare technical documentation detailing data structures and processes.
• Manage pending requests and reprioritize with leadership as needs evolve.
• Collaborate with R&D and data science to enable rapid iteration on models.

Skills

Advanced SQL

Data quality

Documentation

Cross-functional collaboration

Time management

Data mapping

Requirements gathering

Data transformation

Communication skills

Education

Bachelor's degree in Animal Science or CS or Data Science

Tools

Databricks

Data lakes/data warehouses

Python

Microsoft Excel

Job description

Zoetis seeks a data analytics engineer to design and optimize SQL queries powering predictive dairy algorithms and customer analytics. You will partner with business leaders, data scientists, and implementation specialists to translate objectives into scalable data solutions and ensure data integrity across platforms.

You will manage data transformations, document data structures, and support lifecycle management of analytics.