Pi-Square Technologies
Pi-Square Technologies

Data Modeler

Minneapolis, MN, US • Posted 10 days ago • Updated 11 hours ago
Full Time
On-site
USD $50.00 - 60.00 per hour
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Risk Management
  • Customer Analysis
  • Finance
  • Data Modeling
  • Financial Services
  • Physical Data Model
  • Dimensional Modeling
  • Star Schema
  • ERwin
  • ER/Studio
  • PowerDesigner
  • SQL
  • Data Warehouse
  • Data Governance
  • Meta-data Management
  • Microsoft Azure
  • Databricks
  • Snow Flake Schema
  • Cloud Computing
  • Payments
  • AML
  • Regulatory Reporting
  • Analytics
  • Regulatory Compliance
  • Reporting
  • Data Quality
  • Banking

Summary

Data Modeler
Job Description

We are seeking an experienced Data Modeler with a strong Banking domain background to design and maintain enterprise-wide data models that support regulatory reporting, risk management, customer analytics, lending, payments, and financial data platforms. The ideal candidate will have expertise in conceptual, logical, and physical data modeling, along with strong SQL and data warehousing experience.
Required Skills
  • 8+ years of experience in Data Modeling
  • Strong experience in Banking/Financial Services domain
  • Expertise in Conceptual, Logical, and Physical Data Modeling
  • Strong knowledge of Dimensional Modeling (Star Schema, Snowflake Schema)
  • Hands-on experience with ERwin, ER/Studio, PowerDesigner, or similar tools
  • Strong SQL and Data Warehousing experience
  • Experience with Data Governance, Data Lineage, and Metadata Management
  • Experience working with Azure, Databricks, Snowflake, or Cloud Data Platforms
  • Understanding of banking data domains such as Customer, Accounts, Loans, Payments, Transactions, Risk, AML, and Regulatory Reporting
Responsibilities
  • Design and maintain enterprise data models for banking applications and analytics platforms.
  • Develop conceptual, logical, and physical data models based on business requirements.
  • Work closely with Data Architects, Business Analysts, and Data Engineers.
  • Define data standards, naming conventions, and best practices.
  • Support regulatory, risk, compliance, and reporting initiatives.
  • Ensure data quality, consistency, and governance across banking data assets.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90933573
  • Position Id: 92509eb15728c2dc74f53595f969b060
  • Posted 10 days ago
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