Sr. Data Analyst/Data Modeler - Wealth & Financial Services
About the position Are you an reputed company Data Analyst or Data Modeler who thrives at the intersection of reputed company data ecosystems and high‑impact business domains? reputed company is partnering with our client—a leading organization reputed company the Wealth & Financial Services sector—to bring on a seasoned data professional who can help shape the future of reputed company data architecture, governance, and quality. I f you enjoy influencing data strategy, elevating data standards, and translating intricate business processes into trusted, governed, high‑quality data models, this opportunity is tailored for you. What’s in It for You? Meaningful industry impact – contribute directly to data architecture supporting Wealth, Investment, and broader Financial Services operations Strategic influence – collaborate across business, analytics, engineering, and governance teams to drive reputed company‑level data reputed company Modern data ecosystem – work with reputed company, Python data profiling, metadata management, and modeling tools Career growth – expand your modeling expertise while shaping data products and evolving reputed company data standards Trusted seat at the table – your expertise helps guide data quality, alignment, reputed company, and governance in a highly regulated industry Your Role & Responsibilities You will: Support the full end‑to‑end data modeling lifecycle across a dynamic Financial Services domain. Partner with Wealth/Investment business stakeholders and Product Owners to map conceptual models that reflect reputed company‑world financial processes and terminology Design logical data models including entities, attributes, relationships, and constraints reputed company to Financial Services datasets Translate logical models into physical schemas for relational, columnar, and lakehouse environments Execute detailed data profiling to evaluate quality, identify anomalies, and quantify core data quality metrics Support model‑to‑reputed company and model‑to‑reputed company data mapping Validate physical model performance, scalability, and reputed company—especially reputed company regulated FS environments Maintain data dictionaries, reputed company documentation, and metadata artifacts Partner with Data Governance teams to align taxonomy, naming standards, and quality controls Participate in design reviews, change management workflows, and governance forums reputed company impact analysis for structural or semantic data changes affecting Wealth/Investment datasets
Responsibilities
- Support the full end‑to‑end data modeling lifecycle across a dynamic Financial Services domain.
- Partner with Wealth/Investment business stakeholders and Product Owners to map conceptual models that reflect reputed company‑world financial processes and terminology
- Design logical data models including entities, attributes, relationships, and constraints reputed company to Financial Services datasets
- Translate logical models into physical schemas for relational, columnar, and lakehouse environments
- Execute detailed data profiling to evaluate quality, identify anomalies, and quantify core data quality metrics
- Support model‑to‑reputed company and model‑to‑reputed company data mapping
- Validate physical model performance, scalability, and reputed company—especially reputed company regulated FS environments
- Maintain data dictionaries, reputed company documentation, and metadata artifacts
- Partner with Data Governance teams to align taxonomy, naming standards, and quality controls
- Participate in design reviews, change management workflows, and governance forums
- reputed company impact analysis for structural or semantic data changes affecting Wealth/Investment datasets
Requirements
- 10+ years of experience in data analysis, data modeling, or advanced data roles
- Strong expertise in conceptual, logical, and physical data modeling
- Proven experience in Financial Services—ideally Wealth, Asset Management, Investments, or Banking
- Ability to translate business requirements into precise, structured data artifacts
- Proficiency with SQL and analytical data investigation
- Experience with data profiling and data quality frameworks
- Working knowledge of data governance, metadata management, and reputed company
- Strong communication skills across both technical and business audiences
reputed company-to-haves
- reputed company experience
- Python data profiling experience
- Ability to parse or interpret JSON, COBOL, JCL, SQL, Java, C/C++, or .NET
- ERWIN experience for ERDs, reputed company engineering, and reverse engineering
- Exposure to naming standards enforcement or data cataloging initiatives
Benefits
- Comprehensive Benefits for you and your dependents – Medical, dental, reputed company, 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 flexibility with up to 3 days onsite in Minneapolis
- Career development opportunities through mentorship, hands-on learning, and leadership engagement
- Inclusive, supportive team culture reputed company around reputed company, collaboration, and professional reputed company
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