Learning Data Analyst

5 days ago

Karachi, Sindh, Pakistan Teach The World Foundation Full time 900,000 - 1,200,000 per year

About Teach the World Foundation:

Teach the World Foundation (TTWF) is a non-profit organization committed to eradicating illiteracy by leveraging digital technology to deliver quality education.

Key Responsibilities:

1. Dashboard Management

  • Operate and maintain the Learning Dashboard, which merges backend data from TTWF and in-app platforms
  • Support the implementation of predictive models for student progress, attendance, and learning risk levels.
  • Generate weekly insight reports for internal teams to identify schools or students needing intervention.

2. App-Specific Analytics Monitoring

  • Independently access and interpret metrics from in-app dashboards to assess real-time student engagement and learning trajectories.
  • Reconcile in-app data with internal assessment and attendance records to validate learning trends.

3. School Health Index (SHI) Analytics

  • Support the generation and refinement of the School Health Index (SHI), a dynamic bench-marking tool that compares school- and region-level performance.
  • Help ensure SHI accuracy through validation with field data and stakeholder input.

4. Predictive Modeling & Advanced Analysis

  • Analyze outputs from machine learning models built in collaboration between TTWF and MIT (using Python-based tools).
  • Surface trends and generate flags for high-performing, at-risk, or stagnant learners and schools.
  • Identify opportunities for content enhancement or field follow-up based on learning and engagement patterns.

5. Data Pipeline Development & Automation

  • Manage and improve backend workflows including automated data scraping, cleaning, and structuring.
  • Support or co-develop a centralized data warehouse to ensure seamless integration across learning, operational, and assessment datasets.

6. Cross-Departmental Collaboration

  • Work cross-functionally to integrate findings into strategic decisions.
  • Share insights and recommendations in a clear, visual, and non-technical format for diverse internal audiences.

7. Documentation & Reporting

  • Document analytical processes, data flow diagrams, and methodologies for continuity and replication.
  • Assist in the preparation of visual dashboards and insight summaries for external stakeholders and donors.

Requirements:

Required Qualification: Bachelor's degree in Data Science, Statistics, Computer Science, Quantitative Economics, or a related field; Master's degree preferred.

Years of Employment Experience:

  • 1–2 years of relevant experience in analytics, preferably in education, nonprofit, or impact-driven sectors.

Travel or Location-Specific Requirements:

  • Some travel to areas from head office

Preferred Experience, Background, or Skillset

Technical Skills

  • Strong proficiency in Python for data extraction, modeling, and visualization (e.g., Pandas, Scikit-learn, Matplotlib).
  • Experience with web scraping tools (e.g., BeautifulSoup, Selenium) and data integration from APIs or Google Sheets.
  • Familiarity with data visualization platforms such as PowerBI, Tableau, or open-source dashboards (Streamlit/Dash).
  • Understanding of machine learning model outputs, validation methods, and statistical testing.

Soft Skills

  • Strong analytical thinking and ability to translate data into practical insights.
  • Excellent organizational skills and attention to detail.
  • Effective communicator with the ability to simplify technical findings for cross-functional teams.

Job Type: Full-time

Work Location: In person

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