Urgent role || Data Modeler || New York


 

Job Title :  Data Modeler

Location : New York

Duration :  Long Term Contract

Skype Hire

 

Job Description:


  • Maintain logical and physical data models along with accurate metadata.
  • Develop, implement, and support the usage of data visualization toolkit, configuration, deployment, and usage.
  • Create conceptual data model to identify key business entities and visualize their relationships.
  • Support teams through all project phases including knowledge transition phase.
  • Present and communicate modeling results and recommendations to internal stakeholders.
  • Ensure and enforce a governance process to oversee implementation activities and ensure alignment to the defined architecture.
  • Extract key insights for an executive audience, conveying them in clear, concise written and visual summaries, employing data-driven charts, maps and graphics where appropriate.
  • Perform data profiling/analysis activities that helps to establish, modify, and maintain data model.
  • Communicate physical database designs and dba and explains features that may affect the physical data model.
  • Regularly engage and consult stakeholders on solving business problems through data, guiding the conversation rather than following orders.
  • Analyze data-related system integration challenges and propose appropriate solutions with strategic approach.

Skills:

  • Strong experience data modeling:
  • Strong understanding of Logical, Physical, Conceptual, Hierarchical, Network and Relational data models
  • Strong understanding data modeling methodologies (Bill Inmon, Ralph Kimball etc.)
  • Experience of using at least one data modeling tool like Erwin etc.
  •  
  • Experience in Azure is must.
  • Good knowledge of data modeling tools like Erwin, Toad etc.
  • Prior experience towards working as a data modeler and designed data models for given KPIs / use cases from scratch.
  • PnC Domain knowledge will be an added advantage.
  • Knowledge of Agile framework
  • Ability to work well within a multi-disciplinary team structure, but also independently.
  • Ability to manage multiple tasks with shifting priorities.
  • Ability to build and maintain strong working relationships across client teams.
  • Demonstrates analytical and systematic approach to problem solving.

Able to absorb on going new technical information, business acumen, and apply it effectively.

 

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