Dairy Analyst 0526

Join an innovative, fast-growing organization focused on applying science and analytics to improve operational outcomes in animal agriculture. This role blends scientific analysis, data interpretation, and internal stakeholder support to help transform complex biological data into meaningful, practical recommendations.

You’ll work closely with senior leadership and play a highly visible role in supporting internal teams and external partners through data-driven insights, problem-solving, and technical guidance.

What You’ll Do

• Analyze operational and biological datasets to identify performance trends and patterns over time
• Detect anomalies, inconsistencies, and statistical outliers in large datasets and investigate potential root causes
• Evaluate data quality issues and provide clear recommendations to improve accuracy and interpretation
• Develop strong expertise across internal systems, analytics processes, and reporting workflows
• Design and execute small-scale experiments and structured analyses to validate hypotheses and improve outcomes
• Serve as a subject matter resource for technical and scientific inquiries from stakeholders
• Partner cross-functionally with leadership to improve processes, documentation, and repeatable analytical frameworks
• Explore and leverage emerging AI-enabled tools to improve efficiency and generate deeper insights from data

• Advanced degree (Master’s or Ph.D. preferred) in an agricultural, biological, animal science, genetics, statistics, or related discipline
• Strong understanding of biological systems, operational performance metrics, and applied scientific problem-solving
• Experience with statistical analysis, data interpretation, and identifying anomalies in complex datasets
• Demonstrated ability to design experiments, evaluate results, and communicate findings effectively
• Excellent written and verbal communication skills, including the ability to explain technical concepts to non-technical audiences
• Comfortable working independently in a dynamic, remote-first environment

• Experience with modern analytics tools or programming languages used for scientific or operational analysis (e.g., Python, R, SQL, AI-assisted tools)
• Background supporting external stakeholders, clients, or operational teams in a technical capacity
• Exposure to genetics, biological modeling, or applied research environments
• Experience working in startup or high-growth settings with evolving processes and priorities

Compensation: Competitive base salary plus additional long-term incentive opportunities. Compensation will vary based on experience, location, and qualifications.

Benefits may include:

• Health, dental, and vision coverage
• Flexible paid time off
• Remote work flexibility

• Remote within the United States
• Moderate travel may be required depending on business needs

Applicants must be authorized to work in the United States without current or future sponsorship requirements.