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About the role

  • Senior Data Analyst joining a leading data delivery team at a design services company. Engaging in building trusted data models and solving complex data problems within Azure and Databricks.

Responsibilities

  • Lead the design of conceptual, logical, and physical data models
  • Map and validate data lineage and source‑to‑target flows
  • Define transformation logic and create ETL specifications
  • Work hands‑on within the Azure + Databricks ecosystem
  • Translate business requirements into clear technical user stories
  • Identify data gaps and quality issues, and help drive solutions
  • Support data governance through standards, metadata, and documentation
  • Facilitate workshops and alignment sessions with business and technical partners
  • Communicate complex data concepts in simple, clear language
  • Produce high‑quality documentation that supports delivery and sign‑off

Requirements

  • Bachelor’s degree
  • 7+ years as a Data Analyst
  • Experience in at least one domain: Risk, Finance, or CRM
  • 2+ years with one of: Moody’s CreditLens, an ERP platform, or Salesforce
  • 2+ years of hands‑on Databricks experience (Mandatory)
  • Strong data modelling skills (conceptual, logical, physical)
  • Deep understanding of data lineage and source‑to‑target mapping
  • Advanced SQL
  • Experience with ETL design and data pipelines
  • Azure Data Platform (ADF, Synapse, SQL, storage patterns)

Benefits

  • Equal Opportunity Employer
  • Accessible recruitment process

Job title

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

AzureERPETLSQL

Location requirements

RemoteCanada

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