Seemless Integration, Exceptional Results

Dashboard App scripts Analyst

UNOPS

About the job

Application period 05-Aug-2025 to 19-Aug-2025

Functional Responsibilities:

The Dashboard App scripts Analyst shall work with the RBM Data Team to integrate, triangulate and clean existing data sources within the Google sheets environment. In addition, the role will support the Data Manager in data analysis and dashboards development.

The specific tasks include (but are not limited to) the following:

  • Collaborate with multiple internal and external stakeholders to discuss the specifics of the data sources and understand the design, and functionality of the dashboard website to support its data interface
  • Contribute to the development of AppScripts workflow for data standardization, cleaning and triangulation. Develop and maintain RESTful JSON apis (FastAPI) and consume RESTful APIs
  • Maintain up-to-date knowledge of Google sheets trends and advancements
  • Develop standard code that can serve as the foundation of future projects
  • Perform tasks accurately to meet our brand guidelines and quality standards
  • Optimise systems to improve performance and efficiency
  • Author technical documentation
  • Participate in the selection and design of the visualizations and basic interactions in the platform (drill in, hover, click, etc)
  • Connect the different data sources (spreadsheets, API, etc) to the visualizations
  • Contribute to the development of AppScripts workflow for data standardization, cleaning and triangulation. Develop and maintain RESTful JSON apis (FastAPI) and consume RESTful APIs
  • Lead in Investigating and/or support in developing and recommending appropriate tools and libraries for the different visuals integrated in the Dashboard.
  • Document created workflows and code and prepare the overall report of the best practices, challenges and recommendations.
  • Develop ad-hoc analysis (including using AI/machine learning tools)

Key deliverables

  • Links between data sources and visuals developed
  • Data cleaning/triangulations workflows developed
  • Report that includes best practices, challenges and recommendations prepared.

Education/Experience/Language requirements:

Education

  • A Master’s degree, preferably in Mathematics, Engineering or Computer Science is required. A Bachelor’s degree in a relevant field with 2 additional years of experience may be considered in lieu.

Experience

Required:

  • A minimum of two years experience in developing Appscripts within the Google suite environment and developing Python code.
  • Advance knowledge of Google spreadsheets
  • Strong understanding of Google Apps SCRIPTs and ability to troubleshoot and create new SCRIPTS as required
  • Good knowledge of the Google suite, such as Google Docs, Google Sheets and Google Slides (and their non-cloud equivalents)

Desirable:

  • Demonstrated experience working on data cleaning/triangulation
  • Experience with writing clean, efficient, and maintainable code
  • Demonstrated experience in designing/developing dashboards
  • Familiar with AI and machine learning methods
  • Good understanding of malaria key indicators and supply chain terminology

Language

  • Full working knowledge of English is essential.
  • Working knowledge of French, Spanish or another official UNOPS language is an asset.

Think big. Meet challenges head-on. Help people build better lives.
UNOPS embraces diversity and is committed to equal employment opportunities. Our workforce is made up of people from varied nationalities, cultures and races. They speak a range of languages and have different gender identities, sexual orientations, and abilities.
We encourage women and candidates from underrepresented groups in UNOPS to apply. These include candidates from racialized and/or indigenous groups, members of minority gender identities and sexual orientations, and people with disabilities. Click apply and join us!

Remarks: Please note that only shortlisted candidates will be contacted and advance to the next stage of the selection process.

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