Data Analyst
2 weeks ago
**About PemPem**
Believe it or not, but ~60% of the global food calories are produced by ~500 million farmers who own plots of land not much bigger than 2 hectares and trade through a dynamic network of opaque traders. These farmers are known as smallholder farmers. The supply chain from the farm to the factory still largely depends on word-of-mouth information, using either personal memory or pen & paper as only records. This leads to lost revenues and a lack of traceability, which in turn contributes significantly to illegal deforestation, for example.
At PemPem, we build a mobile-based trading platform for smallholder farmers producing commodities for the world. Our platform is like a digital exchange, with integrated logistics and 100% traceability from farm to factory. We earned awards from Canada’s top incubator (CDL), the World Bank, and the World Economic Forum.
We have offices in Montréal and Indonesia, and our trading platform is currently focused on palm oil in Indonesia.
PemPem is looking for a data analyst / data scientist to use our vast amount of data and turn it into insights and data-driven algorithms to advance the company’s social mission and profitability. We guarantee that your work will change lives and will change the world.
- Is excited about working in a global social enterprise.
- Is resourceful & enjoys responsibility for data analyses while working in a diverse team.
- Is creative at using ML and Optimization to solve problems in novel contexts.
- Gets a kick out of using his/her analytical skills to change the world.
- Is proficient in using python, SQL-based queries and has experience with common data science and visualization toolkits.
- Is excited about working for a start-up.
E-mail us your resume or LinkedIn profile and why you would be a good fit for the team.
Nous sommes une entreprise bilingue et le français est notre langue de travail principale.
**Job Types**: Full-time, Permanent
**Benefits**:
- Casual dress
- Dental care
- Extended health care
- Paid time off
- Stock options
Flexible Language Requirement:
- English not required
Schedule:
- Monday to Friday
Work Location: In person
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