Data Engineer & Visualization Expert

Basel, Switzerland

Applications have closed

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

As Data Engineer & Visualization Expert, you will evaluate and make improvements to business processes in Operations. You are going to ensure the efficiency of business operations, by creating and implementing changes or improvements. You will generate documentation of existing Processes and improvements, you will forecast expected results of process changes, analyze implemented changes and make further adjustments as required.

Accountabilities

  • Data analytics using Problem Understanding, Automated Data Extraction, Data Wrangling and Data Exploration techniques.
  • Identifying gaps in Data Quality due to manual errors and lack of uniform data collection processes.
  • Driving data/technology-driven projects and supporting end-to-end implementation in collaboration with IT and Data Science teams.
  • Liaison between IT and business – exploring and mapping current IT tools and systems for business users.
  • Supporting leadership meetings and MBRs using data driven reports and insights.
  • Translate business requirements, multiple data sets, KPIs, and other data points into relevant dashboards, reports, and analytics solutions
  • Implement and maintain reporting capabilities using PowerBI, Qlik, Tableau, and other reporting applications

Qualifications

  • Master’s degree in Business, Economics, Statistics, Math or related field
  • Technical Skills (Required) – SQL, Smartsheet, JIRA, Sharepoint, Microsoft 365- Advanced Excel, Power Automate, Powerapps, Visio.
  • Technical Skills (Preferred) – Python – pandas, numpy, and matplotlib, SAP, Denodo (Data Warehousing and Virtualization concepts), Lean Six Sigma – Green Belt.
  • 6+ years of experience in data analytics/statistical modeling across a range of different Industries
  • Experience designing and prototyping visualizations for large and complex data sets with demonstrated business application
  • Experience in the agriculture or biotech industry
  • Ability to rapidly synthesize information from multiple sources, communicate ideas and data both verbally and written in a persuasive and appropriate manner in multi-cultural environment
  • Excellent interpersonal skills and the ability to work effectively in a team-based and cross-functional team environment

Additional Information

We offer a variety of financial and non-financial benefits including: 

  • We offer a position which contributes to valuable and impactful work in a stimulating and international environment  
  • Flexible working arrangements and environment with an open culture and diverse workforce
  • The opportunity to work with and learn from highly qualified and experienced employees
  • Learning culture (Together we Grow) and wide range of training options 
  • You will profit from a competitive pension fund plan, attractive bonus system, onsite doctor, gym, canteen, and other benefits (Family friendly initiatives, Child and Family allowance…) 

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. 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Data Analytics Data quality Data Warehousing Economics Excel Jira KPIs Mathematics Matplotlib NumPy Pandas Power BI Prototyping Python Qlik SharePoint SQL Statistical modeling Statistics Tableau

Perks/benefits: Career development Flex hours

Region: Europe
Country: Switzerland
Job stats:  28  2  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.