Note: The job is a remote job and is open to candidates in USA. Nexus IT Group is an innovative, fast-growing organization focused on applying science and analytics to improve operational outcomes in animal agriculture. The Dairy Analyst role involves analyzing complex biological data, providing insights to internal teams and stakeholders, and improving operational performance through data-driven recommendations.
Responsibilities
- 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
Skills
- 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
Benefits
- Health, dental, and vision coverage
- Flexible paid time off
- Remote work flexibility
Company Overview