Senior Data Analyst
Slater, IA, United States
Syngenta Group
Company Description
Syngenta Seeds is one of the world’s largest developers and producers of seed for farmers, commercial growers, retailers and small seed companies. Syngenta seeds improve the quality and yields of crops. High-quality seeds ensure better and more productive crops, which is why farmers invest in them. Advanced seeds help mitigate risks such as disease and drought and allow farmers to grow food using less land, less water and fewer inputs. Syngenta Seeds brings farmers more vigorous, stronger, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions. Syngenta Seeds is headquartered in the United States.Job Description
Role purpose
Lead alignment of North America breeding, field and genetic data with global data standards and provide support to trialing, applied genetics and breeding scientists with analysis and advancement. Support R&D in areas of data quality and data analysis. The role will cooperate and communicate with business and R&D stakeholders as well as Syngenta experts and external consultants.
Accountabilities
- Support and manage biological data software tools including MINT and SPIRIT which provide experimental design, data collection, analysis, and reporting functionalities.
- Identify and report data quality and process issues in MINT and SPIRIT and propose solutions.
- Lead user acceptance testing, training and implementation of new software tools and capabilities on behalf of Corn Germplasm Development.
- Provide training and documentation on biological data software.
- Support the implementation of field trialing data operations and ensure high data quality and consistency, in accordance with global data standards.
- Lead management of Corn Germplasm Development data for identity management and material tracking in biological trace and track processes and tools, including MINT.
- Data mining and predictive data analysis.
- Perform all activities in accordance with the Syngenta Health, Safety, Environmental Policy, our Asset Management policy and Quality Management/Stewardship guidelines.
Qualifications
Critical success factors & key challenges
- Demonstrated ability to work in a team-oriented environment, yet maintain the ability to work independently.
- Proactive and innovative and able to learn new computer applications quickly.
- Expertise with computer applications.
- Required to occasionally work beyond normal workday hours to support multiple research sites, departments, and Market Segment Teams.
- Ability to develop an effective network of contacts inside Syngenta, including those in Analytics and Data Sciences, Germplasm Development, Trialing and Operations.
- Ability to optimize the efficiency of the Market Segment Teams, and other Syngenta departments.
- Apply understanding of agricultural production, crop breeding, or other plant science field-based research
Critical knowledge
- Working knowledge of applied agronomic trialing, plant breeding, and associated data management.
- Knowledge of agronomic production practices.
- Extensive knowledge in using Microsoft Office products.
- Practical understanding of computer hardware and software, principles, and terminology.
Critical experience
- Requires B.A./B.S. degree in an agricultural or plant-science related field. Requires M.S. in plant breeding, or 3 years of experience in a role which included the applied use of data management systems, field trial data, and MS Office programs. A demonstrated high level of written and verbal communications is required.
Critical technical, professional and personal capabilities
- Ability to work independently in a complex and international environment.
- Ability to work effectively with colleagues at a distance.
- Proactive, self-motivated, decisive, and ability to work under tight timelines.
- Ability to organize/prioritize work demands.
- Strength in oral communication and in analytical writing skills
- Excellent interpersonal and influencing skills.
Critical leadership capabilities
- Teamwork skills
- Excellent interpersonal and facilitation skills
- Adaptability
- Customer-focused
Additional information
- Up to 15% travel will be required both domestically and internationally.
- A minimum of 2 years in current position is required (requirement for internal applicants only).
- All applicants must be eligible to work in the US.
- Multilingual ability is beneficial.
Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
Family and Medical Leave Act (FMLA)
(http://www.dol.gov/whd/regs/compliance/posters/fmla.htm)
Equal Employment Opportunity Commission's (EEOC)
(http://webapps.dol.gov/elaws/firststep/poster_direct.htm)
Employee Polygraph Protection Act (EPPA)
(http://www.dol.gov/whd/regs/compliance/posters/eppa.htm)
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Additional Information
All your information will be kept confidential according to EEO guidelines.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Data management Data Mining DataOps Data quality R R&D Research Testing
Perks/benefits: Medical leave
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