Data Analyst

JOB TITLE

Data Analyst - Tidal Grow AgriScience

REPORTS TO

Tidal Grow AgriScience Chief Product Officer

STATUS

Full time, exempt

LOCATION

Argentina, Brazil, Puerto Rico, or India

SALARY RANGE

Based on location & overall experience

ABOUT TIDAL VISION

Tidal Vision strives to build and invest in the highest performing and most innovative team. We put our people and customers above process, avoid company-wide rules as much as possible, and have the courage to take unusual approaches to advance our mission. With this approach, we believe we can create a more flexible, fun, stimulating, creative, collaborative, and innovative organization.

Our commitment to developing, practicing and promoting direct and open communication, responsibility and freedom, and leading with and seeking context is a responsibility for every role at Tidal Vision.

JOB SUMMARY

Lead agricultural data analysis to bring novel, environmentally friendly solutions to help solve agriculture’s greatest challenges.

ESSENTIAL JOB FUNCTIONS

• Data collection and management: Collect, clean and preprocess complex agronomic data from small plot trials, grower trials, and other field experiments. Ensure data integrity and consistency across different databases.
• Trail Design & Analysis: Analyze RCBD small plot trials and grower trials to evaluate various agronomic factors and crop performance. Provide insight on trial design and optimize efficiency and accuracy of experiments.
• Spatial Analytics: Conduct spatial analysis to assess field variability and identify patterns that affect crop performance, yield predictions, and resource management.
• Data Modeling and Statistical Analysis: Utilize statistical models, including Principal Component Analysis (PCA), regression models, and other advanced techniques to interpret trial data and generate actionable insights. Build predictive models to forecast outcomes and identify key variables impacting trial results.
• Data Visualization and Reporting: Develop interactive dashboards and visualizations using PowerBI to communicate complex agronomic findings to stakeholders. Prepare detailed reports summarizing statistical analysis, trends, and recommendations.
• Collaboration and Support: Work closely with Product, R&D, and Agronomy teams to ensure accurate data collection and interpretation. Support cross-functional teams with data-driven insights to inform decision-making processes. Operationalize best practices to support scalability across the organization.
• Database Management: Develop and maintain SQL-based databases to store, query, and manage large agronomic datasets. Ensure efficient data storage and retrieval methods for scalability.

BASIC QUALIFICATIONS

• Bachelor's or Master’s degree in Agronomy, Agricultural Science, Data Science, Statistics, or related field.
• 3+ years experience with RCBD trial designs and analysis, specifically in the context of agricultural research or grower trials.
• 3+ years experience with spatial analytics and mapping tools for field data interpretation.
• Proficiency in Principal Component Analysis (PCA) and other statistical modeling techniques for multivariate data analysis.
• Hands‑on experience cleaning and structuring large datasets, building data models, and generating insights from raw data.
• Strong background in PowerBI for creating dashboards and visualizing data trends.
• Proficiency in SQL for data querying, manipulation, and database management.
• Knowledge of agronomy practices, crop production, and grower trial methodologies.
• Must speak fluent English.
• Must be willing to travel 15%.

PREFERRED QUALIFICATIONS

• Experience with statistical software such as R, Python, or SAS.

WORKING CONDITIONS & PHYSICAL REQUIREMENTS

Tidal Vision provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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