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Data Modeler

Chicago, IL, US • Posted 5 hours ago • Updated 5 hours ago

Full Time

On-site

Fitment

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Job Details

Skills

JD
Data Analysis
Management
Data Cleansing
Data Security
Agile
Continuous Improvement
Data Integrity
Reporting
Analytics
Data Dictionary
Collaboration
RDBMS
ODS
Data Marts
Performance Tuning
Modeling
Dimensional Modeling
Data Modeling
ERwin
PowerDesigner
Oracle Designer
Finance
Insurance
Informatica
IBM
Data Lake
Data Warehouse
Data Mapping
Data Flow
Data Structure
Data Governance
Data Management
Meta-data Management
Taxonomy
Semantics
W3C
Ontologies
JSON
XML
Resource Description Framework
OWL

JD
Data Analysis
Management
Data Cleansing
Data Security
Agile
Continuous Improvement
Data Integrity
Reporting
Analytics
Data Dictionary
Collaboration
RDBMS
ODS
Data Marts
Performance Tuning
Modeling
Dimensional Modeling
Data Modeling
ERwin
PowerDesigner
Oracle Designer
Finance
Insurance
Informatica
IBM
Data Lake
Data Warehouse
Data Mapping
Data Flow
Data Structure
Data Governance
Data Management
Meta-data Management
Taxonomy
Semantics
W3C
Ontologies
JSON
XML
Resource Description Framework
OWL

Summary

JD:

Design and develop data models that effectively support the financial firm's data management, analytics, and reporting goals.
Collaborate with data architects, data analysts, and business units to understand data requirements and translate them into data models.
Perform rigorous data analysis to understand the data nuances and apply learnings to data models and data designs.
Work with the business team to design conceptual and logical data models, data flows, data designs and source-to-target data mapping.
Collaborate with Business teams and Data Stewards to determine and manage data cleaning requirements, data security needs and implement security solutions as part of the data designs.
Develop data model designs iteratively in an agile fashion incorporating collaboration, iteration, feedback, and continuous improvement throughout the data modeling lifecycle.
Ensure that data models comply with financial regulations, data governance policies, and industry standards.
Validate data models for data integrity, accuracy, and consistency.
Assist in the selection and implementation of data modeling tools and methodologies.
Assist in defining and implementing data standards for systems and applications including data object naming conventions, data standardization, data integrity, and data usage.
Work closely with the Data Modeling Lead to align data models with the overall data strategy of the company
Facilitate integration of data models into data warehousing, reporting, and analytics solutions
Assist in defining data dictionary and business glossary to ensure consistent terminology and information across the organization.
Collaborate with data governance teams and data stewards to document data models including data dictionaries, data lineage, and metadata.
Provide input to data governance teams to ensure that data models align with data governance policies and standards.
Responsible for the development of the conceptual, logical, and physical data models
Implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms
Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
Hands-on modeling, design, configuration, installation, performance tuning,
Solid experience in Data Vault modeling approach.
Solid experience in dimensional modeling with a proven track record of designing conformed dimensions that are applicable across various Business Units.
Solid experience in data modeling tools such as Erwin, PowerDesigner, IBM Data Architect, or Oracle Designer.
Strong Financial and Insurance industry domain knowledge.
Experience in data governance and data management and using tools such as Alation, Collibra, Informatica, Atlan, IBM IGC.
Strong experience working in data lake, data lake house, data warehouse, data mesh, and operational data stores.
Experience designing models to be leveraged for data as a product and data marketplace.
Proficiency in developing data designs, data mapping and data flow logic to support the implementation of data structures designed.
Strong experience in data governance and data management.
Experience in a metadata field of work (ontology, taxonomy, or semantics).
Knowledge of W3C standards including linked and canonical data and ontologies (JSON, XML, RDF, RDFS, OWL, and SKOS).

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: 80183517
Position Id: 4070edfd55305dda9078316400aee1d3
Posted 5 hours ago

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