Data Insights Specialist

hace 7 días


Buenos Aires, Buenos Aires C.F., Argentina Clayton Careers A tiempo completo
Job Summary
The Data Analyst will focus on agricultural processes to bring novel, environmentally friendly solutions to help solve agriculture's greatest challenges.

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.

Key Responsibilities
This position requires the ability to collect, clean, and preprocess complex agronomic data from small plot trials, grower trials, and other field experiments. Ensuring data integrity and consistency across different databases is also essential. Furthermore, analyzing RCBD small plot trials and grower trials to evaluate various agronomic factors and crop performance, providing insight on trial design and optimizing efficiency and accuracy of experiments are key responsibilities. Additionally, conducting spatial analysis to assess field variability and identify patterns that affect crop performance, yield predictions, and resource management is required. The successful candidate will also utilize statistical models, including Principal Component Analysis (PCA), regression models, and other advanced techniques to interpret trial data and generate actionable insights. Building predictive models to forecast outcomes and identifying key variables impacting trial results are also expected tasks.

Required Qualifications
A Bachelor's or Master's degree in Agronomy, Agricultural Science, Data Science, Statistics, or related field is required. Three years of experience with RCBD trial designs and analysis, specifically in the context of agricultural research or grower trials, are necessary. Spatial analytics and mapping tools for field data interpretation experience, 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 are also essential. 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 are required. Fluency in English is mandatory. Willingness to travel 15% is also necessary.

Preferred Qualifications
Experience with statistical software such as R, Python, or SAS is preferred.

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