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Live In Data Modeling Jobs in Illinois (NOW HIRING)

Data Modeler

Chicago, IL · On-site

$56.50 - $73.25/hr

Should have strong data modeling skills in data analytics space and experience in working with business areas, done conceptual and logical models. Experience of designing how data should be loaded ...

Manager, Ontology & Data Modeling

Chicago, IL · On-site

$56.50 - $73.25/hr

Manager, Ontology & Data Modeling The role of the Manager of Ontology and Data Modeling is to ... Utilize balanced judgment in decisions about risks of both actions taken and not taken while ...

Caregiver Live In

IL · On-site

$220/day

Our care model incorporates Age-Friendly Care , focusing on: * What Matters to each client ... Legal Shield, Data & ID Theft Protection * Pet Insurance * Health Discount Program Job ...

IL · On-site

$220/day

Our care model incorporates Age-Friendly Care , focusing on: * What Matters to each client ... Legal Shield, Data & ID Theft Protection * Pet Insurance * Health Discount Program Job ...

Data architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Expertise in data modeling and design * Knowledge of data warehousing concepts and methodologies * Experience with cloud-based data solutions (AWS) * Familiarity with big data technologies

Data Modeler

Chicago, IL · On-site

$56.50 - $73.25/hr

Experience in Insurance Industry, preferably in Property and Casualty Insurance * Deep understanding of data modeling principles and architecture concepts * Knowledge of different database platforms ...

Data architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Detailed • 10+ years of Experiences in Architecture Design: Lead the end-to-end design of enterprise-scale data solutions using Data Vault 2.0 methodology. • Data Modeling: Develop and maintain ...

Data Modeler

Peoria, IL · On-site

$53.75 - $69.75/hr

... models in and out of Model Repository, and documents data model translation decisions. -Logical Design - Demonstrated experience with large scale, multiple business solutions across divisions or ...

MUST HAVE: * 5+ years experience in Data Analysis * 3+ years experience with Hadoop * 3+ years experience Data modeling * 3+ years data warehousing * 3+ years Business Analyst experience * In-depth ...

MUST HAVE: * 5+ years experience in Data Analysis * 3+ years experience with Hadoop * 3+ years experience Data modeling * 3+ years data warehousing * 3+ years Business Analyst experience * In-depth ...

Data Architect

Chicago, IL · On-site

$167K - $196K/yr

Expertise in data modeling, ETL processes, and data pipeline development. * Extensive experience with modern data platforms: Databricks and/or Snowflake preferred * Experience with data modeling and ...

Data Engineers

Chicago, IL · On-site

$118K - $141K/yr

Participate in data and information model design across multiple stakeholders. * Technical environment: Implementation of data security standards in line with HIPAA requirements, SQL, SQL server ...

Data Engineers

Chicago, IL

$118K - $141K/yr

Participate in data and information model design across multiple stakeholders. * Technical environment: Implementation of data security standards in line with HIPAA requirements, SQL, SQL server ...

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Live In Data Modeling information

What is the difference between Live In Data Modeling vs Data Analyst?

AspectLive In Data ModelingData Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; certifications like CDMPBachelor's in Statistics, Data Science, or related; certifications like CAP or Microsoft Data Analyst
Work EnvironmentCollaborative, often on-site, working closely with data teams and stakeholdersOffice or remote, analyzing data sets, creating reports, and visualizations
Industry UsageUsed in industries requiring detailed data modeling for live systems, such as finance or techCommon across various industries for interpreting data and supporting decision-making
Search & Comparison IntentPeople comparing roles involving live data modeling tasks with data analysis

Live In Data Modeling focuses on designing and maintaining data structures for live systems, requiring technical modeling skills. Data Analysts interpret data through reports and visualizations. While related, Live In Data Modeling emphasizes data architecture, whereas Data Analysts focus on data interpretation and insights.

What are the most commonly searched types of Data Modeling jobs in Illinois? The most popular types of Data Modeling jobs in Illinois are:
What cities in Illinois are hiring for Live In Data Modeling jobs? Cities in Illinois with the most Live In Data Modeling job openings:

$56.50 - $73.25/hr

Other

Posted 13 days ago


Job description

Data Modeling Specialist

Design and develop data models that effectively support the financial firm's data management, analytics, and reporting goals. Should have strong data modeling skills in data analytics space and experience in working with business areas, done conceptual and logical models. Experience of designing how data should be loaded into the model designed. Experience in various modeling patterns data vault, dimensional, 3NF. 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).