Data and Analytics

For all the above, EOF pays primarily on the basis of the results achieved, ensuring that taxpayer-funded domestic resources, aid, and philanthropic funds are only used to pay for what works. This is a game-changing way to finance results in education, focusing attention and realigning systems on the most challenging but most important measure of a program’s performance: whether it is improving lives.

Together with our supporters, we believe this is the early stages of a much larger movement, with huge potential to increase learning outcomes for children and youth around the world, though improved aid effectiveness and government spending.

Since our inception in 2018, EOF has:

• Partnered with governments in Ghana and Sierra Leone to establish the two largest outcomes funds to date in developing countries, mobilising ~$50M for these programs.
• Established itself as a leading global player in RBF, and the only dedicated center of expertise for RBF in education and skills.
• Become the first outcomes fund hosted by the United Nations within UNICEF, as a scalable platform to partner with governments around the world.
• Established a major partnership with the LEGO Foundation, to develop a scale portfolio of RBF programs in early childhood across a diverse range of countries, as well as to amplify the movement and ecosystem of partners around this approach.
• Had our innovative approach featured in the Stanford Social Innovation Review, FT, Economist, Brookings, and more.
• Built our institutional capacity to contract and implement large-scale outcomes funds more efficiently and effectively than historic impact bonds.
• Established a strong culture of performance and an active focus on ongoing professional development for all our team.

The Consultant will support the Senior Finance Associate with:

Data Management:

• Onboarding and structuring of datasets into Azure platform.
• Sourcing of interesting data and onboarding into data environment.
• Permission and data system maintenance.

Data Analytics:

• Cleaning and analysing data; primarily using Python.
• Assisting with advance analytics using Databricks & machine learning libraries.
• Assisting in iteration of modelling and coding infrastructure.

Visualisations:

• Assisting in the development of visualizations.
• Sourcing and trialling of third-party visualisation software.
• Working with wider EOF team to refine visualizations.

To qualify as an advocate for every child you will have… 

• A bachelor’s degree in data science, analytics, statistics, economics, applied mathematics, finance, or a related field would be preferred., or a related field, is required.
• An advanced degree (Master’s) in a relevant subject is preferred but not required.
• A minimum of 1 year of relevant professional experience in data science, computer science, finance, statistics, economics, business, or a related field, is required.
• Proven experience with data science through projects or working experience.
• Proven experience with relevant tools such as PowerBI, MapBox, DataBricks.
• Fluency in English is required.

Source: https://jobs.unicef.org/cw/en-us/job/579780