Position: Associate - Analysis
Reporting to: Senior Associate – Analysis
Location: Kisumu / Nairobi, Kenya
Start Date: ASAP
Deadline: Application will be reviewed on a Rolling Basis
About Evidence Action
Evidence Action scales proven development solutions to benefit millions of
people around the world. We fill the gap between knowing 'what works' and
having impact at scale. Reporting to: Senior Associate – Analysis
Location: Kisumu / Nairobi, Kenya
Start Date: ASAP
Deadline: Application will be reviewed on a Rolling Basis
About Evidence Action
We implement cost-effective
interventions whose efficacy is backed by substantial rigorous evidence.
We identify innovative, appropriate
financing mechanisms and build best-practice operational models.
We voraciously self-evaluate, learn,
and improve our models for scaling with a commitment to transparency on
progress, impact, and value for money: Our flagship programs are
Dispensers for Safe Water is an entrepreneurial program scaling the chlorine dispenser system – a proven, innovative, and low-cost approach to increase rates of household chlorination. This year the program will reach over five million people in Africa providing safe drinking water to vulnerable populations.
Dispensers for Safe Water is an entrepreneurial program scaling the chlorine dispenser system – a proven, innovative, and low-cost approach to increase rates of household chlorination. This year the program will reach over five million people in Africa providing safe drinking water to vulnerable populations.
The Deworm the World Initiative
actively supports the scale-up of school-based deworming programs worldwide to
improve children’s health, education, and long-term development.
We partner with governments to
support their work as part of our strategy for financial sustainability and in
order to ensure integration with other health and education initiatives.
About Monitoring Learning and Information Systems (MLIS) Team
The MLIS team embodies the evidence-based nature of Evidence Action’s work and enables us to be a data-driven organization.
About Monitoring Learning and Information Systems (MLIS) Team
The MLIS team embodies the evidence-based nature of Evidence Action’s work and enables us to be a data-driven organization.
The team provides services across
Evidence Action Africa region in meeting the following outcomes:
- All ongoing program monitoring needs met
(including M&E design and quality data collection)
- Programs delivered with access to timely and
useful data for day-to-day programmatic planning and decision making
- Analysis and research conducted to support
program improvements (including operation research, market research and
cost-efficiency analysis)
- Support with timely, useful and clear
information for evidence-based decision making (including provide support
to connect the dots)
- Support provided to regional leadership for
new programs and partnerships for exploration and evaluation
- Standards, systems and processes setup for
delivery of all functions (monitoring, analysis, research, information
systems and quality data)
The team provides services across
Evidence Action’s Africa Region through three sub-teams that work closely
together to deliver quality, timely and useful information:
Data Collection and Information Systems (DIS): Responsible for training, data collection and logistics of M&E activities in the field. Information systems ensure that the program have access to timely and useful data through a cloud-based multi-user system.
Data Collection and Information Systems (DIS): Responsible for training, data collection and logistics of M&E activities in the field. Information systems ensure that the program have access to timely and useful data through a cloud-based multi-user system.
Design, Data Processing and Analysis
(DPA): Responsible for data management, analysis and research. DPA ensures that
all ongoing program monitoring needs are met and analysis and research is
conducted to support program improvements.
Data Innovation, Accountability and
Learning (DIAL): Responsible for supporting the program teams with timely
information in innovative, useful and clear ways to translate analysis and
research to evidence-based decision making and action. DIAL also seeks out
innovative ways to engage with program and is responsible for internal
communications.
Position Overview: The Associate, Analysis will synthesize, analyze, and extract actionable recommendations from information collected from all of Evidence Action’s programs.
Position Overview: The Associate, Analysis will synthesize, analyze, and extract actionable recommendations from information collected from all of Evidence Action’s programs.
The role will require audit of data on
the management information system (MIS) and analysis of various survey data,
and systematic documentation of the analytical efforts used to reach the
evidence-based recommendations.
S/he will contribute to the
development of appropriate measurement, sampling, and survey strategies and the
design of survey instruments to gather quantitative and qualitative data.
The ideal Associate, Analysis will be
extremely intellectually curious, service-oriented, and able to conduct,
document, and explain complex analysis and research geared towards real-world
improvements in the programs service delivery to millions of people throughout
East Africa.
This position will be a critical piece of the Design, Data Processing and Analysis team that operates within Evidence Action’s broader Monitoring, Learning, and Information Systems (MLIS) team.
Goals and Responsibilities
Monitoring and Evaluation Support
The Associate, Analysis will provide support and guidance to Evidence Action’s monitoring systems:
This position will be a critical piece of the Design, Data Processing and Analysis team that operates within Evidence Action’s broader Monitoring, Learning, and Information Systems (MLIS) team.
Goals and Responsibilities
Monitoring and Evaluation Support
The Associate, Analysis will provide support and guidance to Evidence Action’s monitoring systems:
- Create and update program monitoring systems
to ensure appropriate measurements, sampling, and survey strategies
- Provide inputs and guidance to the design of
survey instruments and other research tools that will enable clear and
meaningful analysis
- Ensure robust documentation of the monitoring
strategy, sampling frame, theory of change, and associated target
indicators
- Maintain a service oriented, client-based
approach in considering the core research questions held by Evidence
Action program teams that will facilitate operational and cost-efficiency
improvements.
- Provide inputs to drafts of Concept Notes
detailing the research process for individual inquiries.
- Support operations research (e.g. supply chain
and design oriented), market research (e.g. community sensitization) and
cost-efficiency related projects using quantitative and qualitative
methodology for improvements in program and to aid programmatic
evidence-based decision making.
Analysis: The Associate, Analysis will coordinate analysis
activities across all Evidence Action – Africa Region programs (currently a
total of 10 regional offices distributed between Kenya, Uganda, Malawi, and
Tanzania).
This area of responsibility includes:
- Analyze data on key topics to inform
programmatic decision-making in the areas of operations, finance, coverage
and adoption.
- Identify and produce well-designed
regressions, correlations, conditional means, and other statistical
measurements to express the results of program data.
- Compose reports ranging from Pre-Analysis
Plans to Dashboard and Analytical Results / Write-ups
- Maintain proper documentation of all analysis
for ease of replication and explain methodology used in analysis.
- Extract meaning, through analysis, from
M&E and R&D activities that provides insightful interpretations of
data.
- Provide key analytical and knowledge inputs
for academic and non-academic conference presentations, articles, policy
briefs, memos and major proposals;
- Contribute to geographic expansion decisions,
and program improvements through the collection and analysis of key
demographic and geospatial data;
- Support the development of impact models for
key program decisions and metrics.
- Build and update info-graphics that
successfully demonstrate program impacts and research results
Qualifications, Experience and Skills
- Bachelor’s or Master’s degree in economics,
statistics or another quantitative field
- Strong working knowledge of statistical
software packages such as Stata, R, MatLab, SAS etc. with the ability to
learn and adapt to new programs (experience with Stata and excel highly
preferred)
- A working knowledge of geospatial analysis in
ArcGIS/QGIS and mobile phone survey programming experience in Open Data
Kit preferred (at minimum, willingness to learn and independently acquire
new technical skills)
- Strong interpersonal and communications skills
to work effectively with a team that is geographically dispersed
- Self-directed/self-motivating personality,
with proven ability to manage demands from multiple supervisors while
adhering to program deadlines and priorities
- Strong critical and analytical thinking skills
- Intellectual flexibility and willingness to
form and adjust opinions based on evidence
- Quick to learn, motivated to self-teach and
capable of independently translating new knowledge into practice
- Willingness to travel
- A minimum of 1-2 years’ work experience in a
highly analytical and quantitative role
- Strong interest in research on public health,
epidemiology, water, and/or sanitation; prior knowledge of the associated
literature a plus
Note: Please
specifically illustrate the above desired qualifications in your cover letter
by giving examples from your experience.
In addition, this position requires a candidate to:
In addition, this position requires a candidate to:
- Have a strong commitment to evidence-based
practice and policy in the development field
- Be enthusiastic to develop personally and
professionally as part of a growing global team
- Possess a strong attention to detail and a
genuine love of working with data
How to Apply
CLICK HERE to
apply online
