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Data Valuation Analyst

@ Maarut

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Montréal, Québec

Contrat
Postuler
SIGNAUX

En bref

Maarut is hiring a contract Data Valuation Analyst for the CDAC project, which integrates wealth management and group insurance data into an Azure cloud environment and delivers it through a Power BI data mart. The role covers understanding source data, specifying rules, profiling, classifying, documenting, and supporting both the developer and the QA analyst. The posting describes a replacement role that requires quickly taking over an ongoing project.

Responsabilités :

  • Understand source data and specify rules to apply
  • Profile, classify and document data
  • Support the developer on ETL and data mart configuration
  • Support the QA analyst with test cases and validation scripts

Résumé des exigences :

  • Documented functional specifications on a large-scale data project
  • Hands-on data modelling and ETL in Azure
  • Power BI platform knowledge (Service, gateway)
  • Good knowledge of the wealth or insurance sector

Outils et compétences

Azure Data FactoryAzure SQL DatabaseAzure Synapse AnalyticsAzure Data LakeBlob StoragePower BIPower BI gateway
Source et dates

Type de source non vérifié · zoho

Date publiée par l’employeur
2026-10-08
Première détection par notre source
2026-10-09
Mise à jour du dossier source
2026-10-16

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauIntermédiaire
DomaineDonnées et analytique
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler
ChampValeur
Offres sur Jobsy64
Description

The CDAC project integrates data from several wealth management systems and the new group insurance system into an Azure cloud environment, then makes it available to business units through a Power BI data mart. The role sits between business experts, the data architect and developers: understanding source data, specifying the rules to apply, profiling, classifying and documenting. It also carries two support components, one toward the developer (ETL, data mart configuration), the other toward the QA analyst (test cases, validation scripts, execution). The client emphasizes a deadline-driven team culture, reflected in the competencies checked: action and results orientation, managing complexity, analysis and synthesis. This is a replacement, which implies quickly taking over a project already underway.

Candidate sought: a data analyst who has already documented rules and functional specifications on a large-scale data warehouse, data lake or data mart project, with hands-on modelling and ETL practice in the Azure ecosystem. They know Power 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

  • Writing functional specification documents
  • Teamwork with solution architects, development teams, POs and business experts
  • Knowledge of operational analytics
  • Knowledge of data modelling
  • Familiarity with data modelling tools
  • Knowledge of ETL
  • Azure data storage environments (DataStorage, Data Lake, Blob Storage, Azure Data Factory, Azure SQL Database, Synapse Analytics)
  • Power BI (Desktop, Service, components, gateway)


Requirements

DESIRED

  • Good knowledge of the sector (competency checked by the client)

Profiles to Exclude:

  • Profile mentioning Power BI only for building reports and dashboards, without data profiling, modelling or rule documentation.
  • Data engineer or ETL developer profile without demonstrated writing of functional specifications.
  • Business analyst profile mentioning data without modelling or ETL on the resume.
  • Profile whose Azure knowledge rests on training or certifications, without a named project on Data Lake, Data Factory, Azure SQL or Synapse.
  • Profile limited to one-off or departmental data projects, without an identifiable large-scale project on the resume.

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