{"id":"55f5c981-5369-49f1-9216-b609f9f47e63","title":"Analyste principal(e)*, Ingénierie de données","company":{"id":"d1b378c6-7ba5-494c-aa27-4efb11d4e587","name":"Caisse de dépôt et placement du Québec","website":null,"url":"https://yesjob-web.pages.dev/companies/d1b378c6-7ba5-494c-aa27-4efb11d4e587"},"url":"https://yesjob-web.pages.dev/jobs/55f5c981-5369-49f1-9216-b609f9f47e63","apply_url":"https://cdpq.wd10.myworkdayjobs.com/CDPQ/job/Montral/Analyste-principal-e----Ingnierie-de-donnes_R05195","status":"open","location":"Montréal","locations":[{"city":"Montreal","region":null,"country":"CA"}],"workplace":"hybrid","remote_eligible_countries":[],"employment_types":[],"work_auth_required":"unspecified","term":null,"salary_cad_per_year":null,"languages_required":[],"seniority":"senior","first_seen_at":"2026-11-04T22:40:59.038Z","last_seen_at":"2026-11-09T21:59:14.044Z","salary_text":null,"summary":"- Senior data analyst role in the Technologies de données team at La Caisse, Montréal, building datasets, indicators and analyses in SQL, Python, Databricks, Snowflake and Power BI.\n- Hybrid model: four days per week in the office, plus an annual bank of flexible telework days (including work outside Canada).\n- Requires a bachelor's or master's in a related field (or equivalent experience), at least 4 years of data analysis experience, and strong SQL and Python skills.\n- Salary is not stated; employment type and term are not specified in the posting.","sources":["https://cdpq.wd10.myworkdayjobs.com/CDPQ/job/Montral/Analyste-principal-e----Ingnierie-de-donnes_R05195"]}