Thedecisionlab
Research Analyst (Data)
Montréal, QC, Canada
Sponsorship not specifiedDetected 1524 days ago
Data AnalysisStatisticsHubSpotResearch
About the role
- Data Research Analysts will be responsible for work in the following pillars:
Responsibilities
- Mastery of Google Slides, Google Docs, Google Sheets, and a good eye for design
Nice to have
- 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)
- Very good knowledge of English, with an emphasis on summarizing information with clarity
- Assisting with client or stakeholder campaigns, interviews, and coordination
- Scheduling - sending calendar invites and setting up virtual meetings
- Communicating via Slack to communicate work progress, ask questions and refine work
Skills
- Prior experience working with other digital marketing tools such as Hubspot is a requirement
Compensation
- 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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