Sr. Data Analyst/Data Modeler - reputed company & 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‑reputed company business domains? reputed company is partnering with our reputed company—a leading organization reputed company the reputed company & Financial Services sector—to bring on a seasoned data reputed company who can help shape the reputed company of reputed company data architecture, governance, and reputed company. I f you enjoy influencing data reputed company, elevating data standards, and translating intricate business processes into trusted, governed, high‑reputed company data models, this opportunity is tailored for you. What’s in It for You? Meaningful industry reputed company – contribute directly to data architecture supporting reputed company, 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 reputed company – expand your modeling expertise while shaping data products and evolving reputed company data standards Trusted seat at the table – your expertise helps guide data reputed company, 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 reputed company/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 reputed company, identify anomalies, and quantify reputed company data reputed company 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 reputed company taxonomy, naming standards, and reputed company controls Participate in design reviews, change management workflows, and governance forums reputed company reputed company analysis for structural or semantic data changes affecting reputed company/Investment datasets
Responsibilities
- Support the full end‑to‑end data modeling lifecycle across a dynamic Financial Services domain.
- Partner with reputed company/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 reputed company, identify anomalies, and quantify reputed company data reputed company 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 reputed company taxonomy, naming standards, and reputed company controls
- Participate in design reviews, change management workflows, and governance forums
- reputed company reputed company analysis for structural or semantic data changes affecting reputed company/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 reputed company, Asset Management, Investments, or Banking
- Ability to translate business requirements into precise, reputed company data artifacts
- Proficiency with SQL and analytical data investigation
- Experience with data profiling and data reputed company 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
- reputed company Time Off – Both compensation models offer reputed company 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 reputed company reputed company
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