SOWC - Statistician / Data Modeler

ABOUT ALU

From the start, we’ve been on a mission to bring the “university of the future” to the world — a place where students declare missions not majors, where real-world experience takes precedence over theoretical classroom lectures, and where learning how to learn has replaced learning facts and figures. Today, ALU is on its way to helping unleash the human potential of a new generation of ethical and entrepreneurial leaders — and in the process, unlock a new era of prosperity and opportunity for Africa and beyond unlike the world has ever seen.

ALU SCHOOL OF WILDLIFE CONSERVATION (SOWC)

The ALU School of Wildlife Conservation is a specialised school that promotes conservation as an African growth sector by developing the next generation of entrepreneurial conservation leaders and undertaking research into Africa’s wildlife economy. The school supports students in the undergraduate and MBA degrees of ALU/School of Business. The school’s groundbreaking research into Africa’s Wildlife Economy measures the value that wildlife contributes to local and national economies. At a macro level, SOWC seeks to influence the sector’s decision-makers to adopt sustainable business models and promote an entrepreneurial business-minded approach in African conservation. In 2021, the school is running an incubator programme for conservation entrepreneurs selected in collaboration with LHI & WWF. 

RESPONSIBILITIES

Working with the School’s wildlife economy research team, this position will:

• • Conduct statistical analysis and data modeling in relation to the wildlife economy for countries across Africa
  • Develop appropriate practical and reporting tools to better understand and represent the wildlife economy in Africa to promote public and private investment
  • Write reports on various economic models, and relevant results from these,  related to wildlife economy activities to illustrate the current value, as well as the potential, of wildlife economy activities
  • Cross-tabulate, analyse and interpret wildlife economy data for wildlife economy reports, policy briefs, presentation and marketing tools

This role will report to the School’s Director of Research 

IDEAL CANDIDATE

• Post-graduate degree (Masters or PhD) in Economics, Business, Statistics or similar
• 1 - 2  years of professional experience 
• Experience with economic and business modeling
• Excellent attention to detail, rigor and efficient and effective task management
• Ability to multitask and work under pressure
• Ability to work in a multicultural, dispersed team
• Flexible and comfortable with change - “startup” mindset
• Excellent communication skills; written and spoken English skills essential, French an added advantage
• Understanding of the wildlife economy/business of conservation in Africa would be an added advantage
• This role could be remote but preferably located in Kigali, Rwanda     

Deadline : Midnight CAT on Sunday 19th May 2024