Navanti provides timely and insightful data and analysis that shapes programming and empowers local voices, bringing their concerns, ideas, and knowledge to a broader audience. Its systems inform high quality interventions in rapidly evolving, conflict affected environments, employing an approach to contextual, nuanced data that uncovers and engages local actors and opportunities in need of support, resources and training – to create sustainable and transformative solutions that impact their communities. Navanti offers near-real time understanding of local dynamics, enabling an anticipatory programmatic capacity that takes advantage of near horizon change.
- The Data Analyst will be integral to the project’s ability to provide reliable, accurate, and timely data to USAID/BHA. the role will support data collection, cleaning, analysis, and visualization, working closely with monitoring teams to ensure findings are actionable and aligned with USAID’s goals of real-time program adjustments, future program designs, and accountability.
- This project plays a critical role in helping USAID/BHA/Nigeria monitor performance, assess contextual factors, and use data to adapt programs in one of the world’s most challenging environments.
Core Responsibilities
- Contribute to the development of quantitative and qualitative data collection instruments in consultation with other partners and stakeholders involved in development and humanitarian programming, including the research company responsible for data collection.
- Collaborate with field monitors, implementing partners, and team members to ensure alignment of data collection tools and methods.
- Support the training of enumerators before third-party monitoring site visits and support the data quality checking process.
- Provide quality oversight and assurance of data collected by third parties to ensure the completeness, accuracy, robustness, and timely production of all data reports.
- Conduct regular data quality assessments to ensure accuracy, completeness, and reliability of data collected from the field.
- Develop and execute data analysis plans for discrete tasks based on NTPMP analytical framework for effective humanitarian assistance.
- Use quantitative software such as Excel, SPSS, STATA, or R, to process raw data and organize the preparation of data set codebooks.
- Develop coding frameworks for qualitative data and use these frameworks to examine the qualitative data collected by the project.
- Recognize, extract, and interpret data trends from large and complex data sets and express those trends in visual graphics and clear, concise prose.
- Draft Monitoring Summary Reports and site visits reports in English expressing trends in visual graphics and clear, concise narrative
- Identify trends, patterns, and insights to inform USAID/BHA program adjustments and recommendations.
- Develop dashboards, reports, and presentations to visualize data findings for decision-making.
- Document and share lessons learned, best practices, and innovative approaches in data management.
Minimum Qualifications
- Nigerian citizen/resident required.
- A Bachelor’s Degree in Statistics, Data Science, Economics, Social Sciences, or a related field. A Master’s Degree is preferred but not required.
- At least 3-5 years of experience working as a Data Analyst, preferably in humanitarian assistance, monitoring and evaluation, or a similar sector.
- Proficiency in data analysis tools such as Excel, SPSS, R, Python, or Power BI.
- Strong experience in data visualization and reporting tools (e.g., Power BI, Tableau).
- Knowledge of USAID/BHA monitoring frameworks and methodologies is a plus.
- Excellent problem-solving, critical-thinking, and communication skills.
- Ability to work in multidisciplinary teams and in an environment in which there may be team members with varying backgrounds and skill levels.
- Proficiency and experience with one or more mobile data collection platforms is required
- Fluency in English, written and spoken.
- Experience working in Nigeria in the northeastern states of Borno, Adamawa, and Yobe is an advantage.
Method of Application
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