100% Remote
Strong understanding of data concepts (entities, relationships, keys, domains), data modeling patterns (relational, dimensional, lakehouse), and data lifecycle across environments.
Practical experience interpreting and specifying data flows, data contracts, and interface requirements between systems and platforms.
Partner with business and technology teams to gather and translate business needs into clear technical and data requirements.
Document requirements, including data definitions, process flows, use cases, and functional specifications to support solution design.
Conduct data and process analysis to identify gaps, data-quality issues, and opportunities for improvement.
Support delivery and implementation planning by performing impact analysis and requirement clarity assessments.
Proficiency in requirements lifecycle management, including elicitation, documentation, validation, and traceability.
Strong analytical mindset, with the ability to translate complex business needs into technical specifications.
Experience facilitating stakeholder sessions and collaborating with large business and tech teams.
Effective communication skills—both verbal and written—to work cross-functionally and present to diverse audiences.
Competence in defining and validating data requirements, transformation rules, and data quality checks.
Understanding of data governance, metadata management, and data lineage principles.
Previous experience in insurance or financial services, especially with back-office or product systems.
Data Analyst – Product Systems & Data Integration (Banking/Insurance) • Mississauga, ON, ca
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