Global Data Analyst
- Entreprise
- OLAM INTERNATIONAL LIMITED, Singapore, succursale à Genève
- Lieu
- Genève
- Date de publication
- 27.03.2025
- Référence
- 4759060
Description
As global data analyst for the Coffee division, you will have close interaction with our teams of agronomists and sustainability experts across our business. This implies working with a multicultural team in 18 origins (countries). Besides a proven expertise and passion for numbers (and coffee) we are looking for a proactive person willing to take on a big challenge in a dynamic company with plenty of growth opportunities.
Academic background: Bachelor in engineering, agroforestry, business/economics
Work experience: Proven experience in data management and analysis
Functions:
To analyze data related to agricultural practices and sustainability in coffee supply chains in ofi – coffee operations
To coordinate with ofi digital on system upgrades or developments of our data collection platform OFIS
To assist and guide origins teams on the correct use of the OFIS data collection platform
To provide guidance to origins for data collection (design surveys, training material, outlier identification, sample methodologies and monitoring)
To improve data management systems, focusing on data quality
To support data integration between different platforms
To provide periodic analysis reports to the origin teams, focusing on data intelligence and data performance (quality)
To communicate the value of data through dashboards (for central and origin decision making and reporting, and for external stakeholders)
To work on what if scenarios or simulations to forecast outcomes and impacts from sustainability interventions.
To assess GHG emission reduction from the implementation of different practices.
To highlight insights, trends and other findings that help central decision-making processes
To cover Sustainability Programs data requirements (baselines, impact measurement, using external and internal tools)
To continuously update and communicate global metrics
Technical knowledge:
Advanced English and Spanish (min. B2)
Statistical and analytical tools (R, Python, or Stata)
Data visualization tools (Power BI)
MS Office tools, advanced Excel
Basic econometrics understanding
Knowledge of agriculture and/or sustainability
Knowledge in GIS is a plus
Expectations:
Good at data management
Meticulous & thorough in transversal analysing multiple data points
Being Proactive
High motivation to work independently in a multicultural environment
Availability to travel to coffee operations, if required