Job
Vacancy: Operations Research Lead Analyst
Department: Operations Research
Department: Operations Research
Reports to:
Operation Research Team Lead
Company Profile: 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.
Company Profile: 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.
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.
Job Summary:
The Operations Research Lead Analyst will lead 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 be to develop an operational management platform that
informs decision-making across the organization.
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.
In addition, the candidate should have the capability to design qualitative and quantitative research projects.
For
example, modeling the purchasing behavior of our main customers and to develop
key profiles of our target markets the second focus is on contributing to
growth strategies through monitoring and evaluation of operations and
strategies.
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 decisions
- Responsible
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
- Transform
traditional hierarchical Data Warehouse into Data Discovery agile
analytics by leveraging mobile technology and reporting platforms
- Responsible
for project management activities including project scoping and problem
definition, gaining buy-in from key stakeholders, timeline planning and
resource planning,
- Provide
support to colleagues to conduct high quality quantitative and qualitative
research
- Build
skills of other researchers
- Managing
a team of researchers
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
experience defining, communicating and executing to a strategy in
high-performance oriented business environment
Knowledge
- In-depth
understanding of data discovery, analytics, operational reporting, data
warehousing and data quality
- Advanced
knowledge of statistical techniques including multivariate regression,
GLM, factor analysis
- A
process focused mindset – the ability to think about the process of data
collection and end use rather than a focus on building tools
Skills
- 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
How to
Apply
Interested
candidates who fulfill the aforesaid requirements can apply via:
