
Data Analyst (M&E & Data Visualization) – Remote/Project-Based
Posted 1 week ago by ProLeap Development Group on Linkedin
Negotiable
Undetermined
Remote
United Kingdom
Summary: The Data Analyst role at ProLeap Development Group focuses on Monitoring & Evaluation (M&E) and Data Visualization, supporting data-driven decision-making for research and evaluation projects. This remote, project-based position involves collaboration with research and project teams to provide actionable insights through data analytics. The successful candidate will contribute to developing methodologies, conducting data analysis, and synthesizing findings into reports. The role offers opportunities for professional growth and involvement in impactful projects within the international development sector.
Key Responsibilities:
- Develop and refine data collection methodologies, surveys, and research frameworks.
- Conduct secondary research, sectoral mapping, and literature reviews.
- Manage primary data collection, including structured interviews, focus groups, and online surveys.
- Ensure data quality, integrity, and validation processes align with best practices.
- Perform data cleaning, structuring, and statistical analysis using Excel, Power BI, Tableau, Python, or R.
- Develop interactive dashboards, infographics, and reports to communicate findings effectively.
- Utilize statistical techniques to analyze trends, patterns, and correlations within datasets.
- Assist in predictive modeling and impact measurement for M&E projects.
- Maintain and organize ProLeap’s research and data repositories.
- Synthesize complex data findings into concise reports, policy briefs, and knowledge products.
- Support in developing lessons learned, strategic recommendations, and best practices based on research insights.
Key Skills:
- Master’s degree in Data Science, Statistics, Social Sciences, Economics, Development Studies, or a related field.
- 5-7 years of experience in data analysis, M&E, or research within humanitarian, development, or consulting sectors.
- Proficiency in Excel, Power BI, Tableau, SQL, Python, or R for data visualization and analysis.
- Experience with statistical modeling, predictive analytics, and impact evaluation frameworks.
- Excellent verbal and written communication skills in English (Arabic and French are a plus).
- Ability to work remotely, independently, and meet deadlines in a project-driven environment.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other