Data Analyst

International Development Research Centre

Ottawa, Canada

Experience: 0 to 3 Years

Skill Required: IT and ICT

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.

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.
  • Proven English and French reading, writing, and speaking skills.
  • Substantive experience in eliciting and documenting data requirements in data models.
  • Enhanced knowledge with database languages such as SQL to run data queries.
  • Experience with transforming and transferring data between information systems.
  • Experience with machine learning and/or data mining concepts; experience in data reporting and/or business intelligence tools, experience in business analysis and information governance; are considered assets.
  • Knowledge of data warehousing concepts and data models are assets.

You are :

  • 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 skilled 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.
  • Being part of 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.
  • Working in a stimulating and flexible work environment promoting innovation and exploration.
  • Joining an organization that values and models diversity, inclusion, and equity.