Operations Research Lead
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Sanergy is an award-winning social venture that builds healthy, prosperous communities by making hygienic sanitation accessible and affordable in Africa’s urban informal settlements. Our systems-based approach to solving the sanitation crisis involves five key steps: we build a dense network of franchised micro-entrepreneurs, who operate low-cost, high-quality waterless sanitation facilities – called Fresh Life – as small businesses. We provide critical support services – such as access to finance, business analytics, training, and marketing. We collect the waste regularly and safely remove it from the community. We convert the waste into valuable by-products, such as organic fertilizer and renewable energy. Finally, we sell the by-products to Kenyan farms.
We launched our first toilet in November 2011, and we now have a network of over 600 active Fresh Life Toilets run by over 300 Fresh Life Operators. We have collected and converted over 8,000 tons of waste. At the same time, we have built a team of over 250 people. For our work, we have been recognized by Fast Company as one of the 10 Most Innovative Companies in the World Doing Social Good and one of the 10 Best Companies in Africa.
More qualitatively, we are looking for people who have the desire to take on a new challenge in a pioneering context. We believe that we are on the cusp of transformative change and we seek people who believe their knowledge and skills will bring about that change.
The Operations Research Lead will be responsible for spearheading the Operational Research group at Sanergy. In partnership with the operations team, the successful candidate will focus on three major areas: providing analytical support to operational teams, management of user, customer and market research activities and, capacity development of colleagues and junior analysts.
The major focus of the role will to create a team and structure that can enable sales, operational and support teams to make decisions and scale operations. This will require close collaboration with front line staff up to directors and will enable the candidate to gain full exposure to the workings of the organization. The candidate should be able to gain user insights, develop easy to use platforms and coach teams how to use data to make evidence based decisions.
The candidate should have the capability to design qualitative and quantitative research projects. The research skills can be applied to support sales and operations to provide insights into users, customer or market behaviors. The last area is around building the capacity of team members and colleagues throughout the organization to conduct high quality research.
Role & Responsibilities
- Responsible for generating business intelligence that supports teams when they are making decisionsResponsible for coaching junior staff how to use data to make evidence based decisions
- Responsible for influencing senior management on how to use data to make evidence based decisions
- Responsible for project management activities including project scoping and problem definition, gaining buy-in from key stakeholders, timeline planning and resource planning,
- Responsible for continuous improvement of operations. This includes identifying areas for improvement and leading business process improvement projects
- Provide support to colleagues to conduct high quality quantitative and qualitative research
- Build skills of other researchers
- Managing a team of researchers
- Provide operational insights to operational leads directors
- Provide organisational level analysis that evaluates the current state of business and make reports and recommendations to board of directors
Education & Experience
- Proven ability to generate insights that directly influence operational activities
- Master’s degree (or equivalent work experience) in a pure or applied numeric discipline (e.g. mathematics, economics, political science, psychology, engineering)
- Proven experience with qualitative and quantitative research design
- Proven experience with collection, transformation, quality checking and modeling datasets.
- Proven ability to build operational dashboards that generate business intelligence
- Knowledge of database structure
- Advanced knowledge of statistical techniques including multivariate regression, GLM, factor analysis
- Knowledge of R
- A process focused mindset – the ability to think about the process of data collection and end use rather than a focus on building tools
- Ability to use statistical packages such as SPSS or Stata
- Ability to use programming language and programming software such as SQL
- Ability to present data in charts, graphs, tables and reports
- Ability to train colleagues on the use and application of advanced analytical methods