Montreal /Levis, Canada | Posted on 10/09/2026
Assigned Recruiter(s) Madhumitha Mulakaluri
Job Opening ID 11699
City Montreal /Levis
Country Canada
Number of Positions 1
Work Experience 10+ Years
Job Description The CDAC project integratesdata from several wealth management systems and the new group insurance systeminto an Azure cloud environment, then makes it available to business unitsthrough a Power BI data mart. The role sits between business experts, the dataarchitect and developers: understanding source data, specifying the rules toapply, profiling, classifying and documenting. It also carries two supportcomponents, one toward the developer (ETL, data mart configuration), the othertoward the QA analyst (test cases, validation scripts, execution). The clientemphasizes a deadline-driven team culture, reflected in the competencieschecked: action and results orientation, managing complexity, analysis andsynthesis. This is a replacement, which implies quickly taking over a projectalready underway.

Candidatesought: a data analyst who has already documented rules and functionalspecifications on a large-scale data warehouse,



data lake or data mart project,with hands-on modelling and ETL practice in the Azure ecosystem. They knowPower BI on the platform side (Service, gateway), not only on the report side,and can support both the developer and the QA analyst from day one.

REQUIRED Teamwork with solution architects, development teams, POsand business experts

Knowledge of operational analytics

Knowledge of data modelling

Familiarity with data modelling tools

Knowledge of ETL

Requirements DESIRED Valuable knowledge of the sector (competency checked by theclient)

Profiles to Exclude: Profile mentioning Power BI only for building reports anddashboards, without data profiling, modelling or rule documentation.

Data engineer or ETL developer profile without demonstratedwriting of functional specifications.

Business analyst profile mentioning data without modellingor ETL on the resume.

Profile whose Azure knowledge rests on training orcertifications, without a named project on Data Lake, Data Factory, Azure SQLor Synapse.

Profile limited to one-off or departmental data projects,without an identifiable large-scale project on the resume.

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