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About the organisation

Africa Health Organisation

Africa Health Organisation (AHO) is an international health agency providing health and social care in Africa and the Diaspora such as the UK. Its main activities are disease prevention, treatment and medical research and development. Our mission is to lead strategic collaborative efforts among countries in Africa and partners to promote equity in health to combat disease, to improve the quality of life and lengthen the lives of the peoples in Africa.

Could you help a health charity interpret its massive data to something readable for decision-making purpose?

Africa Health Organisation (AHO) is an international health agency providing health and social care in Africa. Its main activities are disease prevention, treatment and medical research.

AHO is looking for dedicated volunteers to carry out data analysis and translation. The analysis will concentrate on millions of data on health and social indicators.

The volunteer role is flexible with time commitment agreed with the Director. The opportunity will take place in Central London. To apply, please submit CV and covering letter to masausog@aho.org.uk

For this role, we are looking for people with good qualitative and quantitative skills, excellent statistical analysis skills, and broad knowledge of health and social indicators. You should have the ability to work independently.

You should be proud of working for Africa’s own international health agency and to contribute to knowledge that will be used to find solutions to Africa’s health problems.

Please submit CV and Covering letter to masausog@aho.org.uk

Role Aim: 

At Africa Health Organisation (AHO), we’re proud to stand at the forefront of charity data revolution. Using the latest analytic tools and processes, we’re able to maximize our service and deliver unparalleled humanitarian and international health development. To help carry us even further, we’re searching for exceptional data analyst volunteers to join our team. The ideal candidates should be highly skilled in all aspects of data analytics, including mining, generation, and visualization. Additionally, they should be committed to transforming data into readable, goal-driven reports for continued innovation and growth.

Duties: 

Duties and Responsibilities

• using advanced computerised models to extract the data needed

• performing initial analysis to assess the quality of the data

• performing further analysis to determine the meaning of the data

• performing final analysis to provide additional data screening

• preparing reports based on analysis and presenting to the Director

AHO has millions of data stored in Excel format. The data is classified into the following categories:

i. Health indicators data: - Births attendants, maternal mortality ratio, maternal deaths, nurses and midwives, physicians, risk factors, mortality, health gaps by income, sanitation, etc.

ii. Social indicators data: - population dynamics, labour force structure, employment by sector, unemployment, children at work, education, nutrition and growth, prevalence of stunting, etc.

iii. Environmental indicators data: - rural environment and land use, agricultural input, output and productivity, deforestation and biodiversity, urbanization, climate change, energy use, etc.

iv. Economic indicators data: - output, manufacturing, exports, imports, demand and supply, consumption, investment, savings, government finance, revenue, balance of payments, etc.

v. Market indicators data: - private sector, business environment, stock markets, military expenditure, public policies, transport services, power and communication, science and technology, etc.

vi. Financial indicators data: - growth and direction of merchandise trade, primary commodity prices, tariff barrier, external debt, financial flows, aid dependency, travel and tourism, etc.

vii. Poverty indicators data: - poverty rates at national level, poverty rates at international level, distribution of income, distribution of consumption, etc.

viii. Global indicators data: size of the economy, global goals ending poverty, women in business, etc.

Skills needed: 

• Studying degree in Mathematics, Computer Science, Health Science, Medicine, Economics, Sociology, Informatics, Anthropology, Psychology, Business, Finance, Statistics, International Development, etc.

• Proven analytic skills, including mining, evaluation, analysis, and visualization of data

• Technical writing experience in relevant areas, including queries, reports, and presentations

• Practical experience in statistical analysis through using statistical packages including Excel, SPSS, SAS

Training: 

interpretation of data

Location: 
Office 36 88-90 Hatton Gardem LONDON WC1N 8PN
Time commitment: 
N/A
Opening times: 
The role is flexible and the days are agreed with the Director
Categories: