Data Analyst-Monitoring and Evaluation

The Data Analyst (M&E) is responsible for developing visually compelling dashboards and data visualizations, utilizing tools such as PowerBI, Miro, and Flourish to communicate findings to both technical and non-technical stakeholders. This role involves selecting and customizing visualization tools, interpreting large datasets using advanced data analysis tools like STATA, Python, and NVivo, and ensuring data pipeline accuracy. The Data Analyst supports cross-functional teams by providing actionable insights, maintaining comprehensive documentation, and participating in team discussions to enhance data visualization and reporting processes.

1. Data Visualization and Communication:

• Develop visually compelling dashboards to communicate complex findings to both technical and non-technical stakeholders.
  
• Utilize PowerBI for proficiency in data visualization.
  
• Use tools like Miro, Flourish, and Whimsical, to develop visual data process flows and communicate effectively with the team.
  
• Develop visualizations for cross-functional coordination and reporting.
  
• Ensure data visualizations are clear, concise, and aligned with project goals.
  
• Ability to automate visualizations to directly update with new data in real-time.
  

• Select and customize data visualization tools tailored to specific research needs and data sources.
  
• Ensure tool design flexibility to accommodate evolving data visualization requirements and diverse datasets.
  

• Utilize advanced data analysis tools (STATA, Smart PLS, NVivo) to interpret and visualize large datasets and extract meaningful insights, applying experience in research design and analysis.
  
• Extract and visualize meaningful insights from in-app analytics and learners’ progress dashboards to share with cross-functional teams.
  
• Analyze and share trends from data especially on learning analytics with a view to improve the quality of TTWF educational programs.
  
• Evaluate and recommend new tools or technologies for improved data analysis processes, demonstrating your ability to work with M& E teams to design pilot tests.
  
• Integrate visualization into reports and reporting processes.
  
• Develop visually compelling presentations for effective reporting to management and external stakeholders.
  

4. Documentation:

• Maintain comprehensive documentation and visualizations of data-fetching processes, analysis methodologies and reporting.
  
• Ensure documentation is accessible and understandable for both technical and non-technical team members.
  
  

5. Collaboration:

• Work with data analysts on extracting key insights and data for visualization and reporting.
  
• Collaborate with interdisciplinary teams to understand data visualization requirements.
  
• Actively participate in team discussions, providing expertise and insights to enhance overall project outcomes.
  
• Collaborate with interdisciplinary teams to integrate feedback and enhance quality of visualizations.
  

6. Data Pipeline Management and Reporting:

• Manage and maintain the data pipeline for TTWF’s monitoring dashboards, ensuring data is up-to-date and accurate.
  
• Oversee the operation of Teach the World’s Monitoring Dashboard on PowerBI, ensuring that it meets the needs of stakeholders.
  
• Assist the Monitoring & Evaluation (M&E) team with data analysis for weekly monitoring reports.
  
• Support the research team by analyzing in-app learner engagement data, providing actionable insights.
  
  

7. Sector-Specific Analysis:

• Apply knowledge of educational metrics, particularly within an NGO or think-tank setting, to ensure that data analysis aligns with sector-specific challenges and opportunities.
  

8. Any Other Task:

• Demonstrate flexibility and readiness to undertake tasks assigned by the line manager, contributing to the overall success of research and data analysis initiatives.
  
• Liaise with content, learning, and operations teams to address their analysis needs.
  
  

Requirements

Knowledge and Experience Requirements

Education:

Bachelor’s degree in Statistics, Mathematics, Data Science, or a related field.

Experience:

3-5 years of experience in data analysis, preferably in M&E context.

Behavioral Competencies:

·        Respect & Dignity

·        Integrity

·        Operational Excellence

·        Passion for change

·        Teamwork

Technical Competencies:  

Data Visualization & Communication:

·        PowerBI Proficiency: Expert in creating visually compelling and interactive dashboards using PowerBI, ensuring clarity and alignment with project goals.

·        Tool Mastery: Proficient in using visualization tools like Miro, Flourish, and Whimsical to develop and communicate complex data process flows effectively

Advanced Data Analytics:

·        Data Interpretation & Analysis: Skilled in utilizing advanced tools (STATA, Smart PLS, NVivo) to analyze large datasets, extract meaningful insights, and interpret trends, particularly in educational programs.

Tool Selection & Customization:

·        Customization & Flexibility: Expertise in selecting and customizing data visualization tools tailored to specific research needs, with the flexibility to adapt to evolving data requirements and diverse datasets.

Reporting & Documentation:

·        Comprehensive Documentation: Ability to maintain and document data-fetching processes, analysis methodologies, and reporting, ensuring accessibility for both technical and non-technical team members.

Collaboration & Cross-functional Coordination:

·        Interdisciplinary Collaboration: Proven ability to work with interdisciplinary teams, understanding data visualization requirements, and integrating feedback to enhance the quality and impact of visualizations.