Marketing Data Specialist

Role purpose:

Ensure data integrity across internal tools to improve user efficiency across tools & deliver reports enabling data driven decision.

Key responsibilities of role

• Maintains competitive intelligence in the Veg Seeds industry within the territory.  Creating and delivering reports and dashboards to enable data-driven decision-making from key business tools (MAPs, Easy Capture, SFDC and etc.) aiming to increase efficiency and return on the investment. Monitoring and auditing data to ensure accuracy, completeness, and consistency. Collaborating with cross-functional teams to identify and resolve data quality issues.
• Designing and maintaining data models and databases to support reporting and analytics.
• Providing training and support to users on data management best practices.
• Ensuring compliance with data privacy and security regulations.
• Continuously improving data management processes and tools to enhance user efficiency and data quality.

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.

Knowledge, experience & capabilities

• Proficiency in data management tools and techniques.
• Knowledge of data quality standards and best practices.
• Understanding of data governance and security principles.
• Familiarity with reporting tools and techniques to deliver data-driven insights

Competencies

• Strong analytical skills.
• Attention to detail and ability to work with large datasets.
• Excellent communication skills to collaborate with cross-functional teams.
• Ability to prioritize tasks and manage time effectively.
• Continuous learning and adaptability to keep up with evolving technologies and data management practices.