Job Title: Quantitative Researcher
Location: Phnom Penh, with some provincial travel
Job Type: Full Time (Monday – Friday)
Reports to: Research & Learning Manager
Closing date: March 31, 2018
WaterSHED is seeking a Quantitative Researcher to support WaterSHED’s work in strengthening market systems for water, sanitation, and hygiene across South and Southeast Asia. Qualified candidates will have a strong background in quantitative data management and analysis, be strong communicators, and diligent observers. The successful candidate will have the opportunity to help us grow our impact and change the landscape of the rural sanitation and hygiene sector in Cambodia.
WaterSHED uses a systems-approach to build the rural market for water, sanitation, and hygiene products and services across Southeast Asia. Based in Cambodia, WaterSHED uses in-depth research to identify strategic opportunities and gaps in the wider system, and then works to strengthen the capacity and relationships between key actors to create a more dynamic and resilient market.
By engaging key actors in the system, including small businesses, customers, and local government, WaterSHED facilitates the adoption of toilets, water filters, and handwashing stations – building a market that functions independent of traditional aid. To date, WaterSHED’s Hands-Off marketing approach has successfully enabled small businesses to sell more than 170,000 toilets, generating more than USD $8.5 million in revenue for rural businesses, and helping accelerate sanitation coverage from a stagnant 25% to nearly 60% in six years.
WaterSHED has been featured in Forbes, Reuters, and Huffington Post, and is a twice winner of USAID’s Development Innovation Ventures competition, a winner of Canada Grand Challenges Stars in Global Public Health, and 1st prize winner of the Reed Elsevier Environmental Challenge.
ABOUT THE ROLE:
We believe testing ideas and exchanging learnings within our sector and within the communities we serve are pillars of our success. As the Quantitative Researcher, you will be a key member WaterSHED’s Research and Learning Team, working closely with the Research and Learning Manager and in conjunction with the managers of WaterSHED’s various business units. As a team member you will:
- contribute to designing research and data analyses;
- support WaterSHED’s Business Intelligence Unit (BIU) as well as other departments to manage their quantitative data effectively for their respective program needs;
- conduct quantitative analyses;
- visualize research findings for different audiences and for different purposes within the organization and for third parties;
- write up research findings for a variety of knowledge products (e.g. research briefs, blog posts, reports, articles)
- coordinate internally to identify the greatest leverage for data analyses, sharing of findings and aligning of activities; and
- complete other tasks as required.
- University degree in Social Science, Applied Statistics, or other relevant field
- Experience with quantitative data analysis
- Demonstrated ability to summarize complex ideas in a coherent way, adequate for different audiences
- Strong command of Excel and at least one statistical software (SPSS, Stata, R, SAS or similar)
- Demonstrated skills and experience coordinating multiple complex activities
- Expertise and/or interest in data visualization is a strong asset
- Very strong English language skills, both written and verbal
- Creative thinker, with a strong sense of empathy and curiosity
- Working with us will give you the chance to use your creativity and deploy your ideas every day. We have a dynamic, highly collaborative culture that sets high standards for our work.
We are looking for someone who appreciates the objectives and values of WaterSHED, has excellent communication skills, is entrepreneurial and creative, takes initiative, and is enthusiastic. Good problem-solving, critical-thinking skills, honesty and trustworthiness are essential.
Interested applicants please send your application including:
- An application form (download),
- A cover letter, outlining your experience and skills (maximum one page)
- And your C.V. or resume, with the names and contacts of three referees
- A writing sample (no longer than 500 words) that demonstrates both your writing skills and your quantitative analytical skills.
to firstname.lastname@example.org with the subject “Quantitative Researcher”.
Application deadline: March 31, 2018