Evidence Action
Job Title: Associate, Analysis
Job level: 3
Department: MLIS
Location: Nairobi
Reports to (title): Senior Associate – Analysis
Job Purpose: The
Associate, Analysis will synthesize, analyze, and extract actionable
recommendations from information collected from all of Evidence Action’s
programs. Job level: 3
Department: MLIS
Location: Nairobi
Reports to (title): Senior Associate – Analysis
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.
Duties and responsibilities
Monitoring and Evaluation Support
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.
Duties 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).
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
- Bachelor’s or
Master’s degree in economics, statistics or another quantitative field
- A minimum of
1-2 years’ work experience in a highly analytical and quantitative role
- 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.
- Strong interest
in research on public health, epidemiology, water, and/or sanitation;
prior knowledge of the associated literature a plus
- 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
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
Working conditions: Typical working hours are from 8.00am to 5.00pm with a one (1)
hour lunch break, between 1.00pm and 2.00pm, However due to the nature of the
job might be times when you will be expected to work outside the office hours.
Physical requirements: N/A
Direct reports: No direct reports
Physical requirements: N/A
Direct reports: No direct reports
How to Apply
CLICK HERE to apply online