Evidence Action
Data Management Consultant
MLIS – Kisumu, Kenya
Duration: 3.5 months (May 19th, 2016 – Mid September 2016)
Location: Kisumu
Reporting to: Senior Associate – Program Data Management
Start Date: ASAP
The Data Management Consultant will work on the following tasks for one of
our Programs:Data Management Consultant
MLIS – Kisumu, Kenya
Duration: 3.5 months (May 19th, 2016 – Mid September 2016)
Location: Kisumu
Reporting to: Senior Associate – Program Data Management
Start Date: ASAP
1.
Collaborate with other teams for improved service delivery to Programs (in
Kenya):
Regular
checks with field team on administrative Program data needs e.g. Village elder
contact lists, Waterpoint details information (directions, promoter contacts
etc).
2. Clean data received from the field, and keep track of any recurring data quality issues arising from the exercise
On the first and second day of a new data collection activity, the Data Management Consultant manually conducts a variable-by-variable review of the dataset to check that data collection instruments are being filled according to the expectations.
The variable-by-variable review is done on the data when the team starts using a new/revised electronic data collection instrument.
Variable-by-variable review serves 2 key purposes
2. Clean data received from the field, and keep track of any recurring data quality issues arising from the exercise
On the first and second day of a new data collection activity, the Data Management Consultant manually conducts a variable-by-variable review of the dataset to check that data collection instruments are being filled according to the expectations.
The variable-by-variable review is done on the data when the team starts using a new/revised electronic data collection instrument.
Variable-by-variable review serves 2 key purposes
- Checks
that skip patterns are working well, i.e. no field is skipped where it
shouldn’t or field is filled where it shouldn’t.
- Checks
that all hard-checks are working well, i.e. that no field accepts numeric
entries that either above or below the expected limits
- Checks
that fields only take the expected data typese. flags field designated for
numeric entries but that contain string entries etc.
- Checks
that there are no duplicates in the unique IDs
3.
Data Processing and Data Management in for the Kenya Program
Provide high quality ongoing Program data management services, including ensuring that monthly data is released to the Program by the 10th day of every month
Cleaning of both current and historical Program monitoring data for monthly analysis and upload to MIS
Create/use do-files that do checks on selected variables and archives previously clean data to reduce data cleaning time
Provide high quality ongoing Program data management services, including ensuring that monthly data is released to the Program by the 10th day of every month
Cleaning of both current and historical Program monitoring data for monthly analysis and upload to MIS
Create/use do-files that do checks on selected variables and archives previously clean data to reduce data cleaning time
Verify
and update Dispenser Database based on field installation tracker and Pass list
generated
Manage periodic downloads of data from the ODK database for routine data cleaning and other usages
Create/use do-files that only selects new data from the MIS appended one for cleaning and later appends to previously cleaned data
Manage periodic downloads of data from the ODK database for routine data cleaning and other usages
Create/use do-files that only selects new data from the MIS appended one for cleaning and later appends to previously cleaned data
Data
Check to ensure that the MIS appended data is accurate and complete by
comparing with data downloaded from ODK server
Monthly Activities
Monthly Activities
- Understand
the Program and datasets and do-files used for data processing
- Download
Monitoring data (Community, Promoter, etc) and Clean within three days
- Download
Operations Data (Installation, CEM, Verification, Chlorine Delivery)
Including Spot check Data and Clean within 6 days
- Update
Dispenser Database within 2 days
- Follow
up with field team on missing information on CEM, Chlorine and
installation data as well as completeness of historical for these
activities
- Ensure
Check completeness and Accuracy of Carbon waiver forms with reference to
dispenser database
- Follow-up
on Missing data with the field team and any other discrepancies observed
Qualifications,
Experience and Skills
- Bachelor’s
or Master’s degree in economics, mathematics, statistics, computer science
or another quantitative field
- Minimum
of two years of experience in quantitative/qualitative research methods
and data management, preferably with large and/or complex datasets
- Strong
technical expertise with statistical software packages such as Stata and
Excel or similar languages such as Stata, R, SAS, Excel etc. with the
ability to learn and adapt to new programs (experience with Stata
preferred)
- Strong
Data management and analysis skills
- Extensive
experience with data entry interfaces such as CSPro, EpiData and Access.
- Outstanding
experience with mobile phone survey programming in Open Data Kit, and
other survey programming languages such as Blaise.
- Working
familiarity with bulky text services such as FrontlineSMS, EchoMobile etc
- A
working knowledge or familiarity of geospatial analysis in ArcGIS/QGIS and
mobile phone survey
- 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
- Highly
organized and possess a strong attention to detail and a genuine love for
working with data.
CLICK HERE to apply online
