Home Web timeline Data Analytics Consultant | ReliefWeb

Data Analytics Consultant | ReliefWeb


Three data analytics consultants

Reports to: Senior Technical Advisor, Research and Learning – A360 Amplify /DISC (depending on scope of work).

Estimated LOE: 50 days each

Period: July 1, 2022 – December 31, 2023


Teens 360 Amplify

Adolescents 360 (A360), led by Population Services International (PSI), is an adolescent contraceptive service delivery project funded by the Bill & Melinda Gates Foundation and the Children’s Investment Fund Foundation whose goal is is to increase demand, voluntary uptake and effective use of modern contraceptive methods among adolescent girls (15-19 years) in Ethiopia, Nigeria and Kenya. A360 developed five interventions, two in Nigeria and one intervention each for Kenya, Ethiopia and Tanzania. The initial phase of the project spanned between 2016 and 2020. The current investment phase extends to 2025 and facilitates the implementation of interventions in Kenya, Ethiopia and Nigeria. The initial phase was evaluated by means of an external evaluation consisting of a process evaluation, a cost-effectiveness analysis and an outcome evaluation. Additionally, A360 collected routine service statistics and conducted client exit surveys to understand program participants’ experiences with the various interventions. As part of the current investment, A360 is implementing a comprehensive research and learning program co-created with various stakeholders. The research and learning program aims to assess the effectiveness of A360 interventions after adaptations conducted in 2021, demonstrate the feasibility and results of implementing the institutionalization of A360 interventions in government health systems and generate knowledge to advance adolescent sexual and reproductive health globally. The program will be operationalized through various evaluations, including household surveys, individual program entry and exit surveys, client exit interviews, mystery shopper surveys, routine performance monitoring, process evaluation and prospective cohort studies.

Delivery Innovations in Personal Care

The Delivering Innovations in Self Care (DISC) project funded by the Children’s Investment Fund Foundation (CIFF) helps women gain more control over their sexual and reproductive health (SRH) needs. DISC aims to demonstrate that self-care, starting with self-injection of contraceptives, is a viable cornerstone of SRH care and that by giving women greater freedom of action over their health, self-care offers healthcare systems a new essential partner: the consumers themselves. In Nigeria and Uganda, DISC is currently designing interventions to improve access and encourage women to self-inject depot medroxyprogesterone acetate (DMPA-SC). DISC’s planned interventions are currently designed to improve access and encourage women to self-inject depot medroxyprogesterone acetate (DMPA-SC). DISC’s planned interventions will focus on raising awareness about self-injection, while helping to overcome key barriers along the consumer journey. DISC is currently collecting survey data using client exit interviews (prospective cohort study), online surveys, secondary analysis of a population-based survey as part of its evidence plan to understand the IS user journey among women starting to use DMPA-SC. Additionally, the project uses routine service statistics to observe changes in the use of self-injectable contraceptives in intervention facilities after the implementation of various interventions. The data will allow the project to better understand the client’s experience over time and the performance of the DISC project interventions. , allowing for course correction as needed throughout the life of the project.


A360 and DISC use a data- and information-driven adaptive implementation approach to its programming. It involves rapid cycle study design, data collection, analysis, and synthesis that informs iterative programmatic course corrections. To ensure that insights from collected data are quickly used to guide decision-making, A360 & DISC is seeking the support of three quantitative data analysis consultants to assist in the execution of quantitative data analysis. These consultants will be engaged on specific tasks as needed during 2022, 2023 and likely thereafter. Each task will be clearly defined with a specific scope of work (SOW) with specific activities and timeline. The SOW will be developed in consultation with the researchers, the program team and the consultant.

We are looking for someone who

  • Live: Minimum of five years of experience in data analysis in Stata and R, including experience with various datasets. Documented experience creating reproducible analyzes in Stata and R, including annotated .do files.
  • Communication skills: Strong communication skills, including clear and concise technical writing and the ability to communicate key findings of analysis in plain language. Articles published in peer-reviewed scientific journals
  • Identifiers: Bachelor’s degree in public health, economics, statistics or a related field. A master’s degree is preferred.
  • Language: Fluency in written and spoken English.
  • Experience with advanced methods: Knowledge of descriptive and inferential analysis for different research designs such as difference-in-difference assessment, interrupted time series, staircase design, experience in analyzing complex population-based survey data such as DHS, including application of survey weights and analysis of cohort data.
  • Public health experience: Demonstrated experience working on data from various public health issues, including sexual and reproductive health, family planning, malaria or HIV.
  • Data visualization experience
  • Must be authorized to work in Kenya. NB PSI will not consider work visa sponsorship for this position.


Data analysis consultants will prepare data for analysis, develop a data analysis plan, execute the analysis and document the process of the surveys conducted in Kenya, Nigeria, Uganda and Ethiopia. Consultants will work with research and program teams to develop a data analysis plan, clean existing and new data from multiple survey data sets, code to generate new variables, and run the analysis in Stata or R. This will include creating detailed tables of study results, revising the analysis plan as needed based on researcher feedback, creating do.files for analysis reproducibility, and documenting the final analysis.


  • Examine data from Ms Excel, clean it and import it into Stata or R
  • Review existing datasets and Stata and R code in the context of study designs
  • Collaboratively generate analysis plans for various studies, as requested
  • Quickly perform recommended analysis coding in Stata or R to complete the analysis plan
  • Discuss preliminary results, incorporate researcher comments and revise as necessary
  • Carefully document analyzes to ensure data analysis is reproducible

How to register

Submission Instructions

Bidders should submit a technical and financial proposal as a PDF attachment clearly marked “Data Analytics Consultants” and emailed to: [email protected]

Submission deadline:

The deadline for submission of full applications is June 24, 2022 at 5:00 p.m. East Africa Time.