Fractional Media & Web Analytics Manager driving data - driven insights for clients' digital marketing efforts. Leading analytics, tracking, and optimization strategies across various media channels.
About the role
- Senior Data Analyst shaping credit and lending data models for a financial services organization. Collaborating with engineers and business teams in a hybrid role in Toronto.
Responsibilities
- Design, build, and maintain logical and physical data models in the credit and lending domains, including customers, accounts, loans, balances, collateral, and payment structures
- Translate business requirements into scalable architectures using dimensional, domain-focused, and normalized modeling techniques
- Collaborate with data engineers, analysts, and enterprise SMEs to standardize definitions and ensure alignment with governance frameworks
- Produce documentation, including data mappings, data dictionaries, and lineage artifacts
- Optimize data models to support dashboards, regulatory reporting, analytics, and downstream consumption
- Support the integration of new credit products or renewable products such as mortgages, credit cards, secured loans, and revolving products
- Validate the performance, scalability, and usability of models in Snowflake environments
- Contribute to a medallion layered architecture (bronze/silver/gold), ensuring traceability from source systems to curated layers
Requirements
- 5+ years of enterprise data modeling experience, ideally in financial services, banking, or lending
- Strong understanding of credit and lending concepts (interest, balances, payments, loan lifecycle, customer/account relationships)
- Hands-on experience with ERwin Data Modeler (required)
- Solid experience in dimensional modeling, 3NF, and/or Data Vault
- Ability to interpret and reconcile complex financial data definitions across systems
- Experience with Snowflake, AWS, or other cloud data platforms
- Strong collaboration and communication skills, with a disciplined documentation style
- Bachelor’s degree in Data Science, Computer Science, Information Systems, Business Analytics, or a related field
Benefits
- Competitive compensation – choose the model that suits you best; both include company‑sponsored benefits
- Expanded health and dental coverage
- Vision care
- Telemedicine services
- Life and disability insurance
- Group RRSP with employer match
- Paid time off – both compensation models provide paid time away from work
- Career development – grow your skills in credit data modeling, Snowflake, metadata management, and enterprise data architecture
- Hybrid work model – collaborate on-site in Toronto to align with engineering and business partners
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