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Vacancy: Data Analyst Retainer Position at Dikoda

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Kristie Smith

Program Manager / Dikoda

Normal user

6 Mar 2024, 13:09

Data Analyst with GIS Expertise (Retainer Position)

Dikoda’s vision is to support better health and nutrition among children, adolescent girls and women through innovative research and solutions for impact. As a growing organization, our ambition is to continue expanding our reach and impact, by delivering high-quality research and innovative solutions that address complex challenges related to food and nutrition in the Asia-Pacific region. We aim to establish new partnerships and collaborations, and to leverage emerging technologies and data-driven approaches to inform our work and deliver more effective and sustainable solutions for our clients and partners.

We are seeking a skilled Data Analyst with expertise in Geographic Information Systems (GIS) for a retainer position. This role offers flexibility in engagement, allowing you to contribute your data analysis and GIS expertise to various projects based on our evolving needs.


  • Data Collection, Cleaning, and Management:
    • Gather and organize spatial and statistical data from various sources.
    • Perform data cleaning and preprocessing using Python, R, or Stata for both GIS and quantitative data sets.
    • Maintain necessary structures for GIS data storage and comprehensive geospatial documentation for reference purposes.
  • Advanced Spatial and Statistical Analysis:
    • Conduct complex spatial analyses using GIS software and statistical analyses using Stata, R, or Python.
    • Apply machine learning algorithms for pattern recognition and predictive modeling.
  • Mapping, Visualization, and Reporting:
    • Create advanced maps, charts, and visualizations using GIS and visualization tools in Python or R.
    • Develop interactive dashboards and detailed reports to communicate findings using PowerBi or Tableau.
  • Quantitative Research and Modeling:
    • Design and execute quantitative research studies with spatial components.
    • Utilize statistical techniques and GIS models for comprehensive analysis.
  • Collaboration:
    • Collaborate with cross-functional teams to understand data needs and provide technical support.
    • Present complex data analyses to technical and non-technical stakeholders.

Combined Skills:

  • Technical Expertise:
    • Proficiency in GIS software and statistical tools like Stata, R, or Python.
    • Skilled in data manipulation, statistical modeling, and GIS modeling.
  • Analytical and Problem-Solving Skills:
    • Strong analytical skills with the ability to interpret complex data sets.
    • Innovative problem-solving abilities in handling diverse data challenges.
  • Data Visualization and Communication:
    • Expertise in creating insightful visualizations and interactive dashboards.
    • Clear and effective communication of complex data insights.
  • Programming and Machine Learning:
    • Programming skills in Python, R, or other relevant languages for data analysis.
    • Knowledge of machine learning algorithms and their application in spatial and quantitative data analysis.
  • Research and Critical Thinking:
    • Ability to design and conduct rigorous quantitative and spatial research.
    • Critical thinking skills for effective interpretation and application of research findings.
  • Project Management and Collaboration:
    • Strong organizational skills to manage multiple data projects.
    • Collaborative mindset to work effectively in team environments and with diverse stakeholders.


  • University degree within the field of geography, computer science, environmental science, epidemiology, or another related field.
  • At least 3 years of experience acquired in positions relevant to the job description.
  • Demonstrated expertise in designing and executing spatial analysis methodologies, integrating both qualitative and quantitative spatial data.
  • Strong written and verbal communication skills, adept at translating complex GIS findings into clear and understandable insights for diverse audiences.
  • Track record of contributing to research projects with evidence of impactful results and contributions to research publications.
  • Knowledge in nutrition, public health, or food security is desirable and would be advantageous for understanding and contextualizing GIS analyses within these domains.

How to apply:

Please submit your cover letter and CV to

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