Job description
As a Data Analyst, you will partner with key business stakeholders to deliver impactful analytical solutions while championing data-driven decision making across the organization. You'll leverage advanced analytical tools to develop comprehensive reporting solutions, from ad-hoc analyses to sophisticated dashboards, while collaborating with cross-functional analytics teams to drive innovation and meet evolving business needs.
Duties:
- Delivering improvement in operations excellence and the customer experience.
- Deliver data related insights to the functional teams seeking to drive significant impact via data driven decisions.
- Bring deep understanding of Sales analytics with the capability of developing analytics and insights in a functional agnostic manner.
- Advanced querying in SQL to effectively build data sources to feed reports and dashboards.
- Explore and conduct analysis on business improvement opportunities.
- Interact with data scientists and industry experts to understand how data needs to be converted, loaded.
- Conducts complex root cause analysis on business problems for business partners, in partnership with Data Scientists, to identify insights that inform and drive key business decisions.
- Tools and Reports Development.
- Serve as a ‘Power User’ of custom and 3rd party applications, advanced querying and complex data aggregations and analyses not supported by a single application.
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.
- 7+ years of experience with data analysis and preparation.
- Advanced SQL knowledge and data manipulation skills.
- Advanced use of visualization software, Tableau, Qlik, Power BI, etc.
- Excellent knowledge of Python/R.
- Experience working with multiple different data sources.
- Bachelor’s Degree in Analytics, Computer Science, Statistics, Math, Finance, or related field.
- Visa sponsorship is not available for this position.
Preferred:
- Master’s degree in Analytics, Computer Science, Statistics, Math, Finance, or related field.
- Passion and deep understanding of agriculture, marketplace dynamics, competitive environment, and Syngenta customer needs.
What We Offer:
- A culture that celebrates diversity & inclusion, promotes professional development, and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
- Full Benefit Package (Medical, Dental & Vision) that starts your first day.
- 401k plan with company match, Profit Sharing & Retirement Savings Contribution.
- Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits.
Syngenta has been ranked as a top employer by Science Journal.
Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI
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.
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Join the most trusted and collaborative team in agriculture
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Every one of our talented employees helps shape who we are and the impact we make on agriculture.
We offer very diverse opportunities for leaders, experts, students and graduates. And we will nurture you, so you can grow and contribute in your own unique way.