Senior Data Analyst
About The Position
Join Trissential and help shape the future of credit and lending data for a large, complex financial services organization. As a Senior Data Modeler, you’ll play a crucial role in transforming how the business structures, governs, and leverages credit and lending data across consumer and commercial products. If you’re energized by designing modern, scalable data models and enjoy working closely with technical and business partners, this is your opportunity to make a measurable impact within a multi‑year strategic transformation. What’s in It for You? Design and influence enterprise-scale data models that power credit and lending decision-making Work directly with data engineers, SMEs, and analytics leaders across a complex financial ecosystem Build models that support regulatory reporting, analytics, forecasting, and operational decision-making Contribute to the evolution of a modern Snowflake and medallion‑layered architecture Be part of a collaborative team that values high-quality modeling, consistent standards, and strong documentation Expand your expertise in lending, data governance, and modeling best practices within a high‑visibility domain
Requirements
- 5+ years in enterprise data modeling, ideally within 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)
- Strong experience with dimensional modeling, 3NF, and/or data vault
- Ability to interpret and reconcile complex financial data definitions across systems
- Experience working with Snowflake, AWS, or other cloud data platforms
- Strong collaboration and communication skills, with a disciplined documentation style
Nice To Haves
- Experience working with lakehouse or medallion (bronze/silver/gold) architecture
- Exposure to governance or metadata platforms (e.g., Collibra)
- Hands‑on experience in regulated financial institutions with large lending portfolios
- Understanding of broader financial instruments and products
- Advanced ERwin proficiency
- Experience translating business rules into consistent, well‑structured data assets
Responsibilities
- Design, build, and maintain logical and physical data models across credit and lending domains, including customers, accounts, loans, balances, collateral, and payment structures
- Convert business requirements into scalable architectures using dimensional, domain‑driven, and normalized modeling techniques
- Partner with data engineers, analysts, and business SMEs to standardize definitions and ensure alignment with governance frameworks
- Develop documentation including mappings, data dictionaries, and lineage artifacts
- Optimize data models to support dashboards, regulatory reporting, analytics, and downstream consumption
- Support the integration of new or evolving credit products such as mortgages, credit cards, secured lending, and revolving products
- Validate model performance, scalability, and usability within Snowflake environments
- Contribute to medallion‑layered architecture (bronze/silver/gold), ensuring traceability from source systems through curated layers
Benefits
- Comprehensive Benefits for you and your dependents – Medical, dental, vision, free tele‑health, HSA with company contribution, life and disability insurance, and 401k with matching
- Paid Time Off – Both compensation models offer paid time away from work
- Hybrid Work Model – Collaborate onsite in Minneapolis for alignment with engineering and business partners
- Career Development – Expand your skillset in credit data modeling, Snowflake, metadata management, and enterprise data architecture
- Supportive, Structured Culture – Join a team that values clarity, governance, and consistent modeling practices
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What This Job Offers
Career Level
Mid Level
