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Raising The Village

Not-for-profit boosts rural agricultural incomes

Data Analyst

Data AnalysisConfirmed live in the last 24 hours
Full-timeBukoba, TanzaniaNo salary listedIn-person

About the Job

Requirements

  • At least 3 years of experience in data management, analytics, monitoring and evaluation, research, or related fields.
  • Proficiency in R, Python, and/or advanced STATA or Microsoft Excel.
  • Experience with data visualization tools such as Power BI, Tableau, Looker Studio, or Shiny.
  • Strong understanding of data management, data quality assurance, and analytical workflows.
  • Familiarity with experimental and quasi-experimental evaluation methods.
  • Ability to synthesize quantitative and qualitative evidence into actionable insights.

Responsibilities

  • Analyze and interpret data to generate actionable insights that support program performance and strategic decision-making.
  • Identify trends, patterns, and key drivers of performance through quantitative and qualitative analysis.
  • Translate analytical findings into clear recommendations for technical and non-technical stakeholders.
  • Contribute to organizational learning by synthesizing evidence and supporting data-driven decision-making.
  • Support the design and implementation of evaluations, assessments, surveys, and research activities.
  • Contribute to the development of evaluation methodologies, sampling approaches, and analytical frameworks.
  • Support the measurement of program outcomes and impact through rigorous analytical approaches.
  • Summarize and communicate research findings to inform program improvement and learning.
  • Develop and maintain dashboards, visualizations, and reporting products for internal and external stakeholders.
  • Prepare analytical reports, presentations, and data summaries.
  • Transform complex data into clear, compelling, and actionable insights.
  • Promote the effective use of data for performance monitoring and decision-making.
  • Support the design and implementation of data collection methodologies aligned with program objectives and monitoring and evaluation frameworks.
  • Develop and refine data collection instruments and performance measurement tools.
  • Support the development of data management guidelines, training materials, and standard operating procedures.
  • Continuously improve data collection processes to enhance data quality and usability.
  • Manage the data lifecycle, including cleaning, validation, storage, analysis, and reporting.
  • Implement data quality assurance processes to ensure accuracy, completeness, consistency, and reliability of data.
  • Support data governance and compliance with organizational data management standards.
  • Identify and resolve data quality issues to ensure the availability of high-quality data for decision-making.

About the Company

Raising The Village

Not-for-profit boosts rural agricultural incomes

Raising The Village partners with ultra-poor, last-mile communities to raise household income and production from under $1/day to over $2/day by boosting farming income, expanding diverse income sources, building productive assets, and removing barriers to economic participation. Its programs combine community collaboration with hands-on farming, income diversification, and asset development, guided by real-time data analytics that monitor conditions and outcomes to adjust interventions quickly. The organization relies on live data to target support where it is needed, enabling precise, measurable impact as a not-for-profit. The goal is to lift the poorest households’ income and production in a sustainable way through data-informed, household-level assistance.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Toronto, Canada
Founded
2006

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