Research / Data Analyst – Drug Revolving Fund Activity Evaluation at Navanti Group (4 Openings)

JOB TITLE: Research / Data Analyst – Drug Revolving Fund Activity Evaluation

JOB LOCATIONS: Zamfara, Bauchi, Nasarawa and Sokoto

JOB DETAILS:

• Navanti supports a Monitoring, Evaluation, and Learning (MEL) Support Activity program that assists USAID/Nigeria in advancing its broader organizational learning and development efforts.
• This program strengthens the Mission’s capacity and performance in programmatic monitoring, evaluation, learning, collaborating, and adapting.
• The MEL Support Activity closely aligns with USAID/Nigeria’s Country Development Cooperation Strategy (CDCS).
• It provides a broad range of specialized technical assistance, training, data gathering and analysis, field-based monitoring, evaluations and assessments, facilitation of organizational learning and adaptation initiatives, and short-term technical assistance.

Overview and Evaluation Purpose

• USAID/Nigeria has engaged the MEL Support Activity to evaluate the Drug Revolving Fund (DRF) Activity to determine whether it meets its stated objectives.
• The evaluation will ascertain if the assistance provided by USAID/Nigeria through the Global Health Supply Chain Program-Procurement and Supply Management (GHSC-PSM) project on DRF Activity achieved the stated development objectives (DO).
• The evaluation also seeks to understand the lessons from this Activity in Nigeria.
• The purpose is to evaluate the effectiveness, promote accountability, inform decision-making, ensure the program’s sustainability and impact on improving access to essential medicines and healthcare services, and inform USAID/Nigeria’s potential future support for drug revolving funds.
• The study will provide specific insights into the following proposed states:
  • North-West: Zamfara, Sokoto
  • North-East: Bauchi
  • North-Central: Nasarawa

About Drug Revolving Fund (DRF)

• The drug revolving fund (DRF) is a financing mechanism used in healthcare to improve access to essential drugs and medicines.
• The primary goal of a DRF is to ensure a steady supply of quality medications and to prevent stockouts or shortages in public health facilities, such as hospitals and health centers.

The purpose of the DRF is as follows:

• Ensure the availability and sustainability of quality health commodities.
• Ensure accessibility and affordability of health commodities.
• Contribute to the attainment of universal health coverage.
• Support health care for the vulnerable.

USAID expected the DRF support to achieve the following high-level results:

• Improved access to essential medicines particularly in underserved areas at an affordable rate
• Strengthened health systems through improved capacity, governance, and coordination of supply chain management, procurement processes, and monitoring systems.
• Curtail dependence on external funding.
• Streamline the procurement and distribution of medicines, leading to more efficient health service delivery. This can result in shorter waiting times, improved patient satisfaction, and improved overall quality of care in health facilities.
• Improve revenue generation and sustainability through revolving/recycling funds from the sale of medicines and pharmaceutical products.
• The primary users of the evaluation findings will be the USAID Health Population and Nutrition (HPN) Office, other U.S. Government (USG) officials, non-USG donor organizations, GON, and private sector firms, all of whom can use the findings to improve and build knowledge.
• The result of this evaluation will be used by the Mission, GON, implementing partners, and other stakeholders to enhance accountability and learning and to inform decisions on further investment and whether or not the DRF is being re-capitalized.
• The estimated start date will be November 11, 2024. The evaluation is expected to last until May 2025.

Position Description

• Navanti is seeking a research/data analyst responsible for supporting the team lead in developing context-specific tools for engaging various stakeholders for this evaluation.
• S/he will be responsible for analyzing the quantitative and qualitative data and conducting multi-level bivariate and multivariate analyses of the data.
• The Research/Data Analyst will work with the team leader to conduct interviews, analyze the data, and develop the evaluation report
• Under the guidance of the MEL Support Activity, the research/data analyst is expected to work closely with the USAID/Nigeria-HPN team.
• The team will use a combination of literature review, secondary analysis of population-based surveys, and quantitative/qualitative data collection through focus group discussions and in-depth interviews to gather insights to answer the study questions, with a special focus on data from the four states listed above.
• The team is also expected to propose based evaluation methodology/approach as required.

Responsibilities

• The health data/evaluation specialist will be responsible for developing comprehensive data collection tools, analyzing data, and providing insights into data collected by the evaluation team.

The health data/evaluation specialist will:

• Participate in the evaluation kick-off session with USAID/Nigeria.
• Develop quantitative tools resulting from desk review
• Provides substantive technical input into the development of data collection tools, including survey and interview tools, and methodology for covering target states
• Support the data collection process, including conducting several KIIs and FGDs with stakeholders including women, health care providers, etc
• Analyse data and present findings.
• Support in the presentation of preliminary findings on data collected from stakeholders’ engagement and desk review
• Coordinates closely with other evaluation teams to ensure quality evaluation
• Support the team lead in writing the draft evaluation report with support from the team members, taking into consideration feedback from the Out-brief presentation.
• Respond to USAID comments on the draft report, incorporate USAID/Nigeria staff comments into the final version of the report, and finalize the report.
• Work collaboratively with team members throughout design, implementation, analysis, and report writing to complement each other’s areas of expertise.

Qualifications
The candidate is expected to have the following qualifications:

• Education: A Bachelor’s Degree in Statistics, Mathematics, Computer Science, Economics, Business Administration, or a related field is preferable. A master’s degree or certification in data analysis, supply chain management, public health, or biostatistics will be advantageous.
• Working experience: Minimum of five years of progressive working experience in data analysis and research in the public health/healthcare domain.
• Analytical Skills: Proficiency in statistical methods and data analysis tools for both quantitative and qualitative data (e.g., SPSS, SAS, R, Python, NVivo, Dedoose, ATLAS.ti) to interpret complex data sets and identify trends within the supply chain drug revolving fund system.
• Supply Chain Management Knowledge: Understanding of supply chain principles and inventory management practices within the pharmaceutical space to effectively evaluate the performance of the drug revolving fund.
• Research Experience: Ability to design, conduct, and analyze research/studies related to healthcare logistics and pharmaceutical supply chains with a focus on cost-effectiveness, inventory control methods, demand forecasting, etc.
• Data Visualization: Proficiency in using visualization tools (e.g., Excel, Tableau, Power BI) to present findings through graphs and charts for easy comprehension by stakeholders.
• Communication Skills: Strong written and verbal communication skills are essential for conveying research findings effectively to diverse audiences including policymakers and healthcare professionals.
• Problem-Solving Abilities: Capacity to identify inefficiencies within the drug revolving fund system through data analysis and propose improvement solutions.
• Attention to Detail: Thoroughness in analyzing datasets containing complex information related to procurement patterns, stock levels, distribution networks as well as financial aspects such as repayment rates or interest charges on loans from the fund.
• Teamwork Collaboration Skills: Capability of working collaboratively with multidisciplinary teams including pharmacists, finance managers, and public health specialists alongside other stakeholders involved in managing the drug revolving fund evaluation.

HOW TO APPLY
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