Data Valuation Analyst
Maarut Montreal, Quebec, Canada
Software Development · 11-50 employees
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About the role
The analyst will document data rules, profile data, and support ETL processes and data mart configuration within a wealth management modernization project. They will collaborate closely with architects, developers, and business experts to ensure data quality and functional alignment.
What they look for
Requirements
Candidates must have extensive experience writing functional specifications for large-scale data projects and possess strong technical skills in Azure data environments. Proficiency in data modeling and advanced Power BI usage is mandatory for this role.
Full description
Mandate Overview:
- 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:
- Writing functional specification documents
- 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
- Azure data storage environments (Data Storage, Data Lake,
Blob Storage, Azure Data Factory, Azure SQL Database, Synapse Analytics)
- 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).
