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)
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