Analytics Engineer

Company Description

Syngenta is a global leader in agriculture; rooted in science and dedicated to bringing plant potential to life. Each of our 30,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture.

Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture.

Job Description

Please note:  this position does not support visa sponsorship and candidate needs to already be located in the United States.

Role Purpose

• Develop and implement effective data analytics strategies to support organizational decision-making.
• Design, build, and maintain scalable and reliable data models for metrics and KPIs.
• Ensure data integrity and accuracy in all analytics outputs.
• Collaborate with cross-functional teams to understand data needs and deliver comprehensive reports.
• Optimize data retrieval and develop dashboards for easy data visualization and interpretation.
• Continuously evaluate and improve analytics tools and processes.
• Provide technical guidance and support to team members in data analytics projects.
• Stay abreast of industry trends and advancements in analytics and reporting technologies.

Accountabilities

• Ensure accurate and timely delivery of analytics reports.
• Independently manage data modeling and reporting projects, with minimal supervision.
• Build industry-leading, scalable, and intuitive technical reporting and measurement solutions.
• Maintain high standards of data security, compliance, and standardization.
• Collaborate effectively with other departments to understand and meet their data analysis needs and requirements.
• Continuously improve analytics processes for enhanced performance and efficiency.

Qualifications

• Minimum 3 years of experience in data analytics, statistics, or a related field.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Agriculture, Plant Breeding or related fields.
• In-depth knowledge of data modeling, ETL processes, and data warehousing.
• Proficiency in SQL, Python, and data visualization tools (e.g., Tableau, Power BI).
• Familiarity with cloud computing platforms (e.g., AWS, Azure).
• Ability to translate complex data into actionable insights.
• Experience with data visualization and business intelligence tools.
• Strong analytical and problem-solving abilities.
• Experience in building and maintaining reports to influence decision-making through data-driven insights.
• Capacity to lead projects and guide team members in analytics-related tasks.
• Strong organizational and project management skills.
• Excellent interpersonal and communication skills.

Additional Information

• Full Benefit Package (Medical, Dental & Vision) that starts the same day you do
• 401k plan with company match, Profit Sharing & Retirement Savings Contribution
• Paid Vacation, 9 Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts among others
• A culture that promotes work/life balance, celebrates diversity, and offers numerous family-oriented events throughout the year

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
Equal Employment Opportunity Commission's (EEOC)
Employee Polygraph Protection Act (EPPA)

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