About the Unit
About Digital Ag Solutions
Yara aims to be the crop nutrition company for the future and is leading the development of sustainable agriculture and digital tools to contribute to solving global agricultural challenges. We have a worldwide presence with sales teams in ~150 countries and around 17,000 employees.
Drawing on over a century of crop nutrition experience, Yara established the Digital Farming unit - now Digital Ag Solutions (DAS) - 4 years ago to explore how technology could be used to impact farmer livelihoods and productivity. Today, DAS has built products for smallholder and professional farmers, retailers and other farming ecosystem stakeholders across Asia, Africa, the Americas and Europe.
We are an international team of engineers, scientists, researchers, designers and agronomists working together to achieve Yara\'s goal to responsibly feed this world and protect the planet. Join us in building new digital products and services to create value for stakeholders across the agricultural ecosystem.
Responsibilities
Collaborate with business and product teams to develop new products and translate data into insights.
Align business requirements with stakeholders, define metrics and develop business intelligence solutions (e.g. dashboards and reports) to fulfil requirements. Communicate results and insights to stakeholders.
Quantify the end to end customer journey to increase conversion and engagement.
Establish best practices for experimentation across products, commercial sales and marketing.
Coordinate with data engineering, DevOps and platform teams to build required tooling for analytics & insights.
Profile
At least a Bachelor\'s degree in a quantitative discipline, e.g. Mathematics, Statistics, Computer Science, Economics.
At least 3 years of experience as a data analyst or similar quantitative role.
Hands on experience in quantifying user journey.
Ability to apply scientific thinking to solve business problems with data and analytics.
Ability to translate insights/tell a story with the data and analysis.
Proficiency in SQL, R and Python. Hands-on experience with BI tools (e.g. PowerBI).
Excellent communication and presentation skills.
Additional Information
We strive to reflect the diversity in society and encourage all qualified applicants from all background to apply. We are committed to creating a work environment that fits gender equality and allows combining career progress with the needs of a family or other personal circumstances
Why us?
MNCJobz.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.