Consultant Statistician/Data Analyst for Pre-Post Survey Data Analysis
Qualifications of Consultant Statistician/Data Analyst for Pre-Post Survey Data Analysis:
- Location: US
- Vacancy No: 59127
- Salary: N/A
- Organization: IRC International Rescue Committee
- Deadline: Varies
Brief details about Consultant Statistician/Data Analyst for Pre-Post Survey Data Analysis:
About
Information about the organization that has offered the job:
The International Rescue Committee’s (IRC) vision is to lead the humanitarian field by implementing high-impact, cost-effective programs for people affected by crisis and by using our learning and experience to shape policy and practice. IRC is the lead organization in the Ensuring Quality Access and Learning (EQUAL) for Mothers and Newborns in Conflict-Affected Contexts Consortium funded through FCDO’s ‘Filling the Gaps in Evidence: Building Stronger And More Resilient Health Systems Research Programme Consortia (RPC)’ mechanism. The objective of this project is to produce rigorous, operationally relevant research and evidence to improve maternal and neonatal health in low-income, conflict-affected contexts. This project will produce evidence that is accessible to decision-makers influencing strategic investment, policy and programming to improve MNH, at the national and global level. This consultancy seeks to engage a qualified statistician to lead data analysis and capacity building for IRC’s maternal and newborn health research in Somalia and South Sudan.
Background of the project
South Sudan and Somalia have the highest maternal mortality ratios and newborn mortality rates in the world. To increase access to life-saving services in areas where facility access is limited and institutional delivery rates are low, the IRC has been implementing a new community-based maternal and newborn care program in these two contexts. A population-level baseline survey (300-400 respondents) was conducted in both locations in 2023/2024, and an endline survey will be conducted in both locations in the Nov 25 – Jan 26 timeframe.
Scope of Work
We are seeking a statistician to conduct the following:
- Review survey sampling strategy and develop a detailed data analysis plan (around Aug 25)
- Conduct virtual data analysis training for junior researchers in Somalia and South Sudan focusing on pre-post analysis using Stata (Dec 25 -Jan 26)
- Conduct analysis of endline survey data and pre-post survey analysis for both countries (Jan 2026)
- Generate analytical outputs including analysis dofiles, log files, summary tables and figures (Jan 2026)
- Produce a short narrative summary of analytical methods for inclusion in final reports/manuscripts (Jan 2026)
Note: Data collection, data cleaning, and report/manuscript writing will all be done separately by the existing research team.
In addition to the tasks outlined above, the consultant may be called upon to support other related research or analytical activities within the Research and Innovation team, as mutually agreed upon.
Intellectual property for the data will sit with IRC, and the consultant will be asked to sign a confidentiality agreement to ensure research data are protected.
We anticipate the work will take no longer than 30 working days total, and per donor requirement, the consultant will be required to submit a timesheet for hours worked.
Deliverables
- Data analysis plan
- Do-files for the analysis
- Logs of the analysis
- Relevant tables/figures for data presentation
- Short write-up of the analytical method to include in final report/manuscripts
Payment will be made in tranches upon meeting of deliverables:
- Deliverable set 1: Data analysis plan (Aug)
- Deliverable set 2: Delivery of data analysis training sessions and training materials (Dec/Jan)
- Deliverable set 3: Data outputs (do-files, results tables and figures) for country 1 (Jan)
- Deliverable set 4: Data outputs for country 2 (Jan)
Requirements:
- Demonstrated experience / publication record of population-level survey data analysis
- Advanced proficiency in Stata
- Preferred: Demonstrated publication record of work on MNH-related topics
Applicants from the Global South are strongly encouraged.
Data Disclosure
All data and information received for the purpose of this assignment is to be treated confidentially and is only to be used in connection with the execution of these terms of reference. All intellectual property rights arising from the execution of these terms of reference are assigned to the IRC. The contents of written material obtained and used in this assignment may not be disclosed to any third parties without the expressed advance written authorization of the IRC.