Jhpiego, an Affiliate of Johns Hopkins University is a global leader in improving healthcare services for women and their families.
We are recruiting to fill the position below:
Job Title: Data Collector
Reports to: State Coordinator
Duration: 15 working days (Between November-December, 2020)
- The Data Collectors are expected to participate in a 4-day pre-assessment training workshop, and will be responsible for completing the following tasks under the guidance and supervision of the State Coordinator and entire Jhpiego implementation team.
- Participate in Training and debrief meetings.
- Provide updates to Jhpiego implementation team throughout the period of performance through an online platform.
Data Collection Preparation:
- Ensure required tools, consent forms are complete
- Identify communities within the LGAs and plan visits.
- Management of Tablets that will be utilized to record interviews and assessments.
- Travel to LGA of assignment and visit all communities within the LGA.
- Pay advocacy visits to Community gate keepers to solicit their support and necessary information
- Scope and identify institutions across key sectors (governmental, non-governmental, faith-based, community based organisations, civil society organisations etc.) in the area that provide services relevant for survivors of GBV
- Use the survey questionnaire tool to assess current GBV prevention and response activities within the LGA of assignment through Key Informant Interviews (KII) and Focus Group Discussions (FGDs),
- Map existing GBV services in and around communities. Part of the services to be mapped include:
- Health Services Social support services
- Emergency Shelter
- Legal counsel / support
- Long-term psychosocial support (individual counseling, support group, etc.)
- Law enforcement services: e.g. Police Services
- Child protection services
- Economic empowerment/ Livelihood services, etc.
- Determine the geographic area to be included in the referral network, based on accessibility to where most of the women live.
- Upload all responses from survey tools to the Jhpiego server as appropriate.
- Store all audio recordings securely on an external hard drive
- Deliver audio recordings to Jhpiego Study Team in a secure manner
Quality Assurance of Data Cleaning:
- Coordinate with implementation team to ensure consistency and quality of interview transcripts in English.
- Respond to any follow-up requests from Jhpiego study Team related to data collection or data cleaning.
- Completed Qualitative interviews (KIIs) and transcribed and reported FGDs.
- Completed documented mapping of GBV services across sectors.
- Completed Quantitative interviews received on Jhpiego server
Qualifications, Knowledge, Skills and Abilities
- Minimum of a B.Sc in Social Sciences or its equivalent.
- Minimum of 2-3 years experience in qualitative/quantitative data collection, specifically conducting in-depth interviews and experience in probing for clearer answers.
- Strong interpersonal skills and communication skills, initiative, patience and problem-solving abilities, diplomacy and good judgment.
- Good time management skills and ability to work under pressure with little or no supervision.
- Excellent report writing skills in English.
- Familiarity with gender and gender-based violence programming is desirable and will be an added advantage
- Must be resident and have good working knowledge of the State and LGAs of interest.
Job Title: Data Analyst
Reports to: Project Director
Duration: 30 working days (Between November-December, 2020)
- Lead the analysis of data and information (qualitative and quantitative) from the field work and prepare the data analysis report.
Working closely with the Jhpiego implementation team assigned to:
- Remote supervision of the field work in all the LGAs of implementation via a WhatsApp group.
- Lead the study data analysis and report writing for the assignment.
- Data analysis using any of the R* statistical packages including data cleaning and exportation to statistical packages
- Lead the development of GBV Services Referral Directories and Referral Maps for each of the states.
- Qualitative data received as Word documents parsed and converted to text files, and built into RQDA projects
- Development of dummy tables from Codebooks with themes based on the various objectives of the analysis accordingly to be used for data analysis
- Participate in the data review, analysis and report writing workshop.
Activity report detailing work done and recommendations including:
- Statistical analysis of available data
- Interpretation of analyzed data (quantitative and qualitative)
- Report of assessment in the three states
- Code book available for review and suggestions
- Dummy tables with data interpretation available for review and suggestions.
- GBV Referral Maps and Referral Directories.
Qualifications / Experiences / Competencies
- An Advanced Degree in Sociology, Medical or Health Sciences research or Biostatistics is required
- Prior experience leading or supporting similar research projects is an advantage
- Experience in qualitative and quantitative research methods, community surveys and good publication track records are desirable
- Excellent communications and interpersonal skills are essential
- Good spoken and written English
- Ability to multi-task and meet deadlines at short notice
- Excellent report writing skills
- Familiarity with international donors and social development report writing requirements will be an added advantage
- Good computer skills and competence with data analysis softwares such as open source R* scripts.
Deadline: 10th October, 2020.
How to Apply
Interested and qualified candidates should submit Application Letter and a CV as ONE single word document indicating location to: firstname.lastname@example.org The title / subject of your email and application should be the position / Location you are applying for.
- Candidates that do not comply with the application instruction will be disqualified
- Only shortlisted candidates will receive an invitation for an interview
- Please note that any successful candidate will be subject to a pre-employment background investigation.