Data Analyst

International Development Research Centre

Ottawa, Canada

IDRC is home to people who share a passion for international development research. We look for employees who believe that knowledge and innovation can help solve the world’s most critical challenges. 

Take a minute to see if your profile fits IDRC: 

You have : 

  • A University degree in computer science, data science, information science, business or other relevant degree, or an acceptable combination of education, experience, and training. Data analysis certification is an asset.
  • Proficiency in French and English (reading writing and speaking).
  • A minimum of two (2) years of experience in eliciting and documenting data requirements in data models.
  • Experience with transforming and transferring data between information systems.
  • Experience in data reporting and/or business intelligence tools, experience in business analysis, experience in information governance and knowledge management frameworks; are considered assets.
  • Enhanced knowledge with database languages such as SQL to run data queries.
  • An in-depth understanding of data warehousing, data modeling, and machine learning concepts are assets.

You are : 

  • Aligned with the IDRC’s culture and value statements:  At IDRC we are respectful, intentional, and accountable.
  • Someone who enjoys working with diverse teams to model their data lifecycle and challenges, as part of gaining an overall understanding of organizational information flow.  
  • Passionate about data flows and architecture, and you stay informed of best practices and innovations in the field of data analytics.
  • Interested in exploring various aspects of AI, ML, NLP, etc., to unlock insight from key unstructured information, and in support of streamlined analysis, visualization, and reporting.
  • A strong communicator with great interpersonal skills.  

You are interested in: 

  • Helping IDRC to leverage its data and information assets to enable evidence-based decision-making, as a strategic priority, by modeling and merging data from different sources, performing data transformation, as well as investigating and making recommendations about technological solutions.
  • Joining a dynamic team - Digital Analytics and Governance - and working in collaborative and creative ways across the Centre to solve complex data problems, in support of real and sustainable change in our world.
  • A stimulating and flexible work environment promoting innovation and exploration.
  • Joining an organization that values and models diversity, inclusion, and equity.