Evidence Action
Job Vacancy: Associate
– Data Processing and Analysis
MLIS – Nairobi, Kenya
Job Purpose: The
Associate, Data Processing and Analysis will clean, synthesize, analyze, and
extract actionable recommendations from information collected from Evidence
Action’s programs.
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 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 Evidence
Action’s reach.
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
Data Cleaning
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
Data Cleaning
·
Be
able to generate, clean and provide datasets as may be required by different
programs
·
Document
all data cleaning processes and steps in the courses of his or her data
management tasks.
·
Develop
scripts that ensure completeness, quality and cleanliness of program data
·
Perform
data quality audit and quality checks on the data
·
Give
timely feedback to the data collection team on quality of data and area of
improvement/training
·
Keep
track of any recurring data quality issues arising from the exercising with a
viewing of informing when re-training is needed.
·
Manage
data entry staff when need arises
·
Any
other Data Management task as assigned by their supervisor
·
Data
Management
·
Perform
digitization of questionnaires to be used for electronic data collection
Data Analysis
·
Analyze
data on key topics to inform programmatic decision-making in the areas of
operations, finance, coverage and adoption.
·
Identify
and produce well-designed analysis 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 Monitoring & Evaluation and Research &
Development activities that provides insightful interpretations of data.
·
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.
Qualifications
·
Bachelor’s
or Master’s degree in economics, statistics or another quantitative field
·
A
minimum of 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
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
Direct reports: No direct
reports but may occasionally manage interns, casuals or data officers.
How to Apply
CLICK HERE to apply online