Data Analyst

Role: Data Analyst Location: Remote, Canada Duration: 6 Months contract with possible extension Role Overview We are seeking a Data Analyst with strong understanding of data concepts, data modeling, and data lifecycle management. The role focuses on translating business needs into clear technical and data requirements and supporting data-driven solution design. Key Responsibilities Partner with business and technology teams to gather and translate business needs into technical and data requirements. Document requirements including data definitions, process flows, use cases, and functional specifications. Conduct data and process analysis to identify gaps, data quality issues, and improvement opportunities. Support delivery and implementation planning through impact analysis and requirement clarity assessments. Required Skills & Experience Strong understanding of data concepts including entities, relationships, keys, and domains. Experience with data modeling patterns including relational, dimensional, and lakehouse. Understanding of data lifecycle across environments. Experience interpreting and specifying data flows, data contracts, and interface requirements between systems. Proficiency in requirements lifecycle management including elicitation, documentation, validation, and traceability. Strong analytical skills to translate business needs into technical specifications. Experience facilitating stakeholder sessions and collaborating with business and technical teams. Strong communication skills (verbal and written) for cross-functional collaboration and presentations. Ability to define and validate data requirements, transformation rules, and data quality checks. Understanding of data governance, metadata management, and data lineage principles. Python (>7 years) Nice to Have Experience in insurance or financial services, especially back-office or product systems.

The Data Analyst will partner with business and technology teams to gather and translate business needs into technical and data requirements. They will also conduct data and process analysis to identify gaps and improvement opportunities.

Candidates should have a strong understanding of data concepts and experience with data modeling patterns. Proficiency in requirements lifecycle management and strong analytical skills are also essential.

Identified from the job description. Confirm important requirements above.

• Data Concepts
• Data Modeling
• Data Lifecycle Management
• Data Analysis
• Data Quality
• Stakeholder Engagement
• Communication Skills
• Data Governance
• Metadata Management
• Data Lineage
• Python
• Requirements Management
• Process Flows
• Use Cases
• Functional Specifications
• Analytical Skills

Minimum experience

5+ years