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
Requirements
Knowledge, experience & capabilities
- Strong background in data analytics, statistics, or a related field.
- Proficiency in SQL, Python, and data visualization tools (e.g., Tableau, Power BI).
- Ability to translate complex data into actionable insights.
- Excellent problem-solving and critical-thinking skills.
- Strong communication skills for effective cross-departmental collaboration.
Experience:
- 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.
- Familiarity with cloud computing platforms (e.g., AWS, Azure).
- Minimum of 3-5 years of experience in data analytics or a related field.
- Proven track record of developing effective data models and KPIs.
- Experience in building and maintaining reports for organizational decision-making.
- Advanced SQL and Python skills.
- Experience with data visualization and business intelligence tools.
- Strong analytical and problem-solving abilities.
- Excellent interpersonal and communication skills.
- Ability to work independently and as part of a team.
- Capacity to lead projects and guide team members in analytics-related tasks.
- Ability to influence decision-making through data-driven insights.
- Strong organizational and project management skills.
Additional Information
- Occasional Travel (10% or less, primarily domestic)
- All internal applicants must be eligible to work in the US
- No Sponsorship available.
What We Offer:
- Full Benefit Package (Medical, Dental & Vision) that starts the same day you do
- 401k plan with company match, Profit Sharing & Retirement Savings Contribution
- Open Vacation Policy with a minimum of 15 days of vacation and up to 30 days with manager approval, 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
WL4A
#LI-MD1
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)
Company Description
About Syngenta: 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.
About Us: Through leading innovations, we help farmers around the world meet the challenge of feeding a growing population and taking care of our planet. We are currently seeking an Analytics Engineer for the Seeds Development Analytics and Data Sciences team in Durham, North Carolina.
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