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Temporary Target Data Analyst Jobs in Chicago, IL

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/yr

The Senior Data Analyst plays a crucial role in supporting data-driven decision-making at Chicago ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

Build target lists, market maps, competitive scans, and opportunity pipelines. * Analyze data ... documents, websites, interviews, and public information to form concise recommendations. * Support ...

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

The Senior Data Analyst plays a crucial role in supporting data-driven decision-making at Chicago ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

Business Data Analyst

Naperville, IL · On-site +1

$55K - $120K/yr

Translate business needs into clear functional specifications, source-to-target mappings, and user stories for data and reporting solutions. * Profile, validate, and analyze data by writing SQL ...

Senior GTM Data Analyst

Chicago, IL · Hybrid

$168K - $200K/yr

As part of the GTM Analytics team, you will be the data partner for Fin's Mindshare function - the ... target buyers. This role focuses on the top of the funnel: understanding how brand marketing ...

Senior GTM Data Analyst

Chicago, IL · On-site

$168.10 - $200.81/hr

As part of the GTM Analytics team, you will be the data partner for Intercom's Mindshare function ... target buyers. This role focuses on the top of the funnel: understanding how brand marketing ...

Senior GTM Data Analyst

Chicago, IL · On-site

$168K - $200K/yr

As part of the GTM Analytics team, you will be the data partner for Fin's Mindshare function - the ... target buyers. This role focuses on the top of the funnel: understanding how brand marketing ...

Showing results 21-40

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$56.50 - $73.25/hr

Full-time

Re-posted 3 days ago


Job description

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).