Position summary:
At Rainforest Alliance, we believe in the value of data. The Data Management and Intelligence department is paving the way for enabling data-based decisions by focusing on the delivery of scale-able data products to the market, supporting internal decision-making by unlocking the value of data, and creating a solid data foundation on which we can continue to build out our data offering.
The Data Analyst Data Ethics & Sharing reporting into the senior Manager, Data Management will develop data sharing and ethics approaches organizationally.
Responsibilities:
Set and identify the ethical considerations of potential data science approaches
Demonstrate a good working knowledge of the legislation applicable in this area, such as General Data Protection Regulation (GDPR) and the Data Protection Act (DPA)
Demonstrate knowledge of existing data and AI ethics frameworks in and outside government and can advise others seeking ethical guidance
Work with consequential or complex risks
Build consensus between services or independent stakeholders
Lead others to make good design decisions
Apply different risk methodologies in proportion to the risk
Demonstrate working knowledge of social sciences (such as anthropology, economics, sociology, etc)
Apply various social science theories to the strategic oversight of data projects, products and policies, and to evaluate and challenge assumptions made in data science projects
Demonstrate expert knowledge of existing schools of thought and best practice in data ethics
Optimize, maintain, and own the data sharing and ethics policy of RA
Work closely with Legal, Subject Matter Experts, and other key stakeholders to ensure that organizationally we use the key principles as defined in the policy
Qualifications:
Bachelor's, Master's degree or equivalent experience, with fluency in mathematics, statistics and/or data analysis strongly preferred;
Demonstrated ability (3-5 years) data reporting and analysis;
Demonstrated ability (3-5 years) with supply chain traceability preferred;
E2E experience with data visualization tools like Power BI, tableau, etc; and
Advanced Excel.