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Research Analyst (Data)

Remote · Kenya Full-time

The Position

Data Research Analysts will be responsible for work in the following pillars:

  • Performing desk research on specific topics across a variety of fields by leveraging Google Scholar, Google Search, and third party, specialized websites
  • Assisting and establishing processes in data collection
  • Identifying trends in data, performing statistical analysis and communicating findings to project leaders and other stakeholders
  • Finding, analyzing synthesizing relevant research across various fields, distilling them for both internal and external consumption (in the company and for clients)
  • Creating and editing documents to present the uncovered research findings
  • Very good knowledge of English, with an emphasis on summarizing information with clarity
  • Assisting with client or stakeholder campaigns, interviews, and coordination
  • Mastery of Google Slides, Google Docs, Google Sheets, and a good eye for design
  • Prior experience working with other digital marketing tools such as Hubspot is a requirement
  • Scheduling - sending calendar invites and setting up virtual meetings
  • Communicating via Slack to communicate work progress, ask questions and refine work
  • Previous experience with data analysis preferred
  • UNdergraduate degree

A little bit about us

The Decision Lab is a socially-conscious applied research firm dedicated to creating social good by helping individuals, organizations and governments make better decisions. With over 1,500,000 online engagements per year, 20,000 newsletter subscribers, and over 60 contributors and staff writers, our audience is composed of thought leaders from a variety of industries. We provide consulting services to some of the largest organizations in the world, carry out research in priority areas and run one of the largest publications in applied behavioral science. In the past, we have helped organizations such as the Gates Foundation, Capital One and the World Bank solve some of their thorniest problems using scientific thinking.

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