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Date posted: 
Location: 

Singapore, SG

Job Function:  Information Technology
Job Type:  Intern
Job Requisition ID:  4100

Intern, Data Analytics

We at Yara are part of a global network, collaborating to profitably and responsibly solve some of the world's key challenges - resource scarcity, food insecurity and environmental change.

About the Unit

There are more than 500 million smallholder farms globally. 2.5 billion people depend on Smallholder Communities for their food and livelihoods. Smallholder regions are characterized by low living standards, high rates of illiteracy and low agricultural productivity. Yara's mission is "Responsibly Feed the World and Protect the Planet". Key to achieving this is enabling thriving Smallholder Communities.

 

In 2017, Yara created the business unit, Digital Farming. At Yara Digital Farming, we are building solutions for farming communities, constructing hardware and sensors, crunching satellite data, applying artificial intelligence, and turning research results into services, products and solutions, all aimed at achieving this mission.

 

Our team is made up of designers, software engineers, hardware developers, data scientists, services and solution managers and product owners. Digital Farming is a strategic priority within Yara. Each year we significantly grow our global Digital Farming team and country coverage. With hubs in Europe, Latin America, Asia and North America, Yara Digital Farming is shaping the future of farming by building new digital solutions solving critical problems within agriculture.

Responsibilities
  • Support with data analysis by analyzing raw data (all forms) using Python or Standard tools and produce trends that are backed by statistics using standard visualization tools / libraries

  • Document and map clickstream data events to track user behavior / interaction on app screens

  • Update Data Analysts in terms of status of data products and assist with basic project management support

  • Assist with maintaining various reporting / ETL process required to build insights using appropriate tools with documentation adequate for other team's perusal

  • Assist the data analyst in documentation of the findings, pipelines and information architecture

Profile
  • Comfortable in MS-Excel analytics

  • Basic/Intermediate level of proficiency with Python or SQL and related toolsets and databases

  • Some knowledge of core statistical techniques

  • Aligned with our principles: agile, customer-centric, lean, service-oriented architecture, self-organization, transparency.

  • Duration of internship: 3-6 months (6 months preferable)

Additional Information

We encourage all qualified applicants from all backgrounds to apply and 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?

  • Evolving tech development division of an established agricultural products and services company.
  • Explore and develop digital, software, hardware products, which provide value to farmers, smallholder communities and the value chain.
  • Be part of our mission to build sustainable solutions that benefit humanity and the environment.
  • Full-time, permanent and freelance contract options available with competitive remuneration + benefits.
  • Support for personal development, training and continuous learning.
  • Commitment to using new technologies and frameworks, meetups, and knowledge sharing.
Apply no later than

Knowledge grows through differences
Yara is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. We believe that creating a diverse and inclusive work environment is not only the right thing, but also the smart thing to do. To deliver on this, Yara has firmly anchored Diversity & Inclusion (D&I) as one of our top 7 strategic actions and has more than 400 employees worldwide involved in D&I ambassador networks. 


Job Segment: Data Analyst, Database, Analytics, Agricultural, Sustainable Agriculture, Data, Technology, Management, Agriculture