Data Valuation Analyst

Maarut

Montreal

On-site

CAD 70,000 - 100,000

Full time

14 days+

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Job summary

Maarut in Montreal is seeking a senior data analyst to join the Wealth Management GPAP modernization delivery team. You will work on understanding and improving source system data, supporting QA, and collaborating with architects.

The role requires writing functional specifications for large-scale data projects, performing ETL and data modeling in Azure (Data Factory, Data Lake, Synapse or Azure SQL), and using Power BI beyond dashboards.

Qualifications

  • Written functional specifications on large-scale data projects.
  • Experience with ETL and data modeling in an Azure environment.
  • Daily collaboration with architects, developers, POs and business experts.
  • Power BI expertise beyond report creation (Service and gateway).
  • Familiarity with data modeling tools and Azure storage/integration components.

Responsibilities

  • Understand and enhance source system data for the GPAP project.
  • Support QA and data governance tasks within the delivery team.
  • Assist architects in design work and data-mart configuration.
  • Document data rules and profile data for governance.
  • Participate in ETL activities and coordinate with developers.

Skills

Team collaboration
Operational analytics
Data modeling
ETL concepts
Functional specification writing

Tools

Power BI
Azure Data Factory
Azure Data Lake
Azure Synapse
Azure SQL

Job description

  • The client is looking for a senior data analyst within the delivery team of the GPAP modernization project in Wealth Management. The role spans three fronts: understanding and enhancing source system data, supporting quality assurance, and supporting design work with the architects. This person documents the rules to apply, profiles data, participates in ETL work and supports the developer in configuring the data mart, without owning core development or model design. The requirements point to a profile bridging functional and technical work: functional specifications, data modeling, ETL, Azure storage and Power BI. QA and data governance tasks appear in the responsibilities but are not listed among the requirements.
  • Candidate sought: a senior data analyst who has written functional specifications on large-scale data projects and has taken part in ETL and data modeling work in an Azure environment (Data Factory, Data Lake, Synapse or Azure SQL). This person works daily with architects, developers, POs and business experts, and knows Power BI beyond report creation (Service, gateway).
Requirements

Required:

  • Teamwork with solution architects, development teams, POs and business experts
  • Knowledge of operational analytics
  • Knowledge of data modeling
  • Familiarity with data modeling tools
  • Knowledge of ETL
  • Power BI (Desktop, Service and components, e.g. gateway)

Profiles to Exclude:

  • Profile whose data experience is limited to building Power BI reports and dashboards, with no data modeling or ETL work on the resume.
  • Data engineer or ETL developer profile with no demonstrated functional specification writing.
  • Business analyst profile with no data modeling or ETL work tied to projects.
  • Profile with no Azure storage or integration component named on the resume (data experience exclusively on other platforms).
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