Organization: Evidence Action
Position: Associate – Data Management and Coordination
Reporting to: Senior Associate – Programming and Data Management
Location: Kisumu, Kenya
Start Date: ASAP
Position: Associate – Data Management and Coordination
Reporting to: Senior Associate – Programming and Data Management
Location: Kisumu, 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. 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.
- 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.
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.
- 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 – Data Management and Coordination is
a member of the PDM sub-team and the larger MLIS team, and is responsible for
quality data management for both paper and electronic data across all the country
programs including Kenya, Uganda and Malawi.
This is an exciting position that
will involve managing data officer(s) and data entry clerks, cleaning and
submitting data to program teams or analysis team for analysis.
The person must be systematic and
loves working with big data.
S/he will work closely with other
MLIS team to ensure data is entered as error free as possible while adhering to
set timeline
Goals and Responsibilities
Manage Data Entry and Management
Goals and Responsibilities
Manage Data Entry and Management
- Lead the development of interfaces for data
entry and manage data entry vendors and process, and make sure the process
is done as per the agreed upon timelines,
- Coordinate data entry process of all paper
data in accordance with data entry protocols
- Work closely with the data collection team and
data officer to ensure that hard-copies are filed and stored safely in a
secure, well-organized, and well-documented repository, and the scanned
paper data, where applicable, is stored safely
- Conduct discrepancy checks between data entry
records, perform error checks and other data quality checks on the entered
data
- Develop and implement a robust system of
tracking forms for data entry so as to clearly distinguish those that have
been entered against those that haven’t been entered.
- Handle and take responsibility of all
equipment used for data entry, including laptops, tablets, flash drives
etc
- Keep track of any recurring data quality
issues arising from the exercising with a viewing of informing when
re-training is needed.
- Instantly make available entered data for
further processing and use by the data team.
- Support the development of comprehensive data
entry training manuals to suit the needs of different programs
Data Cleaning
- Support data cleaning needs across all
Evidence Action programs within the 3 countries of operation
- Be able to generate, clean and provide ad hoc
datasets as may be required by different programs
- Be able to multi task data cleaning
assignments for different programs.
Team Management
- Coordinate the training of data entry staff.
- Supervise the activities of the data entry
casuals by ensuring that they all meet their daily targets, log the work
done and conduct random checks on the quality of their work
Qualifications, Experience and Skills
- Minimum Bachelor’s degree in economics,
statistics, or any other relevant field
- Minimum of 2 years of experience in
quantitative research methods and data management, preferably with large
and/or complex datasets.
- At least 1 year full time experience
conducting data cleaning using STATA for large datasets (mandatory)
- Experience in working with and programming
data entry interfaces using a variety of applications both purchased and
open source. Knowledge of CSPro, Epidata, Blaise, Openclinica and Access
will be an added advantage (CSpro and/or Epidata highly preferred)
- Well conversant with the use of MS Office
application especially Excel.
- Ability to work under pressure in a working
environment that changes suddenly to accommodate new data needs
- 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
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