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Hays
Candidates need a quantitative degree or equivalent experience, strong hands-on data science and predictive modelling skills, and proficiency in Python and SQL. Experience with cloud platforms such as Snowflake, AWS or Azure and the ability to communicate findings to non-technical audiences are also required.
Snowflake, Snowflake Cortex, Python, SQL, AWS, Azure
Reitmans (Canada) Ltée/Ltd
10+ ans3+ gestionCandidates need 10+ years in advanced analytics or data science, at least 3 in leadership, preferably in retail. They need a bachelor's degree in a quantitative field, strong SQL, Google Analytics and visualization tool skills, and the ability to communicate insights.
SQL, Google Analytics, Tableau, MicroStrategy, Power BI, Python
TSX Inc.
12+ ansCandidates need 12+ years of progressive finance experience, a professional accounting credential (CPA preferred), and a track record as business lead on major finance transformations. They also need leadership of data or analytics teams, technical literacy in SQL, data modeling and cloud platforms, and deep knowledge of ICFR and internal controls.
Workday Financials, Workday Adaptive Planning, Snowflake, Amazon QuickSight
Level Access: Level Access is the market-leading digital accessibility platform and service provider, helping organizations create high-performing, inclusive, and…
5+ ansCandidates need at least 5 years of production data modeling, including 3 years with dbt, strong SQL, and Salesforce data model knowledge. They must be able to define SaaS revenue metrics such as ARR, churn and retention, and communicate clearly with non-technical stakeholders.
dbt, Databricks, Delta Lake, Unity Catalog, Salesforce, Git
Clera
6+ ansClera needs candidates with at least 6 years of software or ML engineering experience, including shipping ML or LLM systems to production. Strong Python skills, experience with conversational AI or real-time voice systems, and comfort owning work from problem definition through production are expected.
Python, Ray Serve, Dagster, LiveKit, Vertex AI, GCP
Randstad Canada
8+ ansRandstad Canada asks for 8+ years as a business analyst, data analyst or analytics consultant, with 3+ years in banking or credit cards. Candidates need hands-on SQL and SAS experience, including building SAS macros, plus statistical modeling, Python and Agile/Scrum experience.
SQL, SAS, Python, R, Tableau, Power BI
Randstad Canada
5+ ansCandidates need at least 5 years of technology experience, ideally in financial services, and a computer science or engineering degree or equivalent experience. They need team leadership experience, strong communication skills, and hands-on knowledge of Informatica IICS, Snowflake, Oracle, AWS, data warehousing and data engineering.
Snowflake, Informatica IICS, Oracle, AWS
Scotiabank
8+ ansCandidates need a quantitative bachelor's degree and 8+ years of progressive analytics experience, with proven marketing measurement and team leadership. Banking experience is preferred, along with experience with BI tools such as Power BI and cloud data platforms.
Power BI, AWS, Azure, GCP
Bank of Canada
4+ ansCandidates need a master's degree or higher in economics, statistics, mathematics or a related quantitative field, plus four years of applied modelling experience. Hands-on skill with Python, R or MATLAB and modern analytics platforms such as Azure or Databricks is required, along with clear communication skills.
Python, R, MATLAB, Azure, Databricks
EXL Talent Acquisition Team
12+ ans5+ gestionCandidates need 12-18 years of experience in analytics, data, AI or transformation consulting, including at least five years of client-facing leadership. A bachelor's degree is required, a master's preferred, along with strong executive communication and commercial skills.
Azure, AWS, GCP, Databricks, Snowflake, Microsoft Fabric
Upshop
5+ ans2+ gestionCandidates need 5-7+ years of SaaS or enterprise software product management, including 2+ years managing product managers and owning multiple products. They also need agile experience, knowledge of enterprise architecture and APIs, and hands-on familiarity with AI-enabled tools.
22 entreprises