Hi,

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Please review below requirement and please forward me your consultant
profile and contact details to *[email protected]*****

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*Job Title: Data Analyst / Data Modler*

*Job Location: NYC*

*Duration: 6 Months+*

*Interview Type: Telephonic + Face to Face Interview*

* *

*Job Description: *

The Data Analyst/Modeler is responsible for develop and maintain domain
logical data model artifacts. It includes Data Dictionaries, Data
Properties, Data Classification and Data format specifications. The role
will work with the other cross functional teams to create and maintain the
Logical Data Model, Physical Data Model, Model Release Documentation, Data
Harmonization, Mappings and User Guides for all the applications within the
company.****

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*Duties and Responsibilities:*****

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• Data analysis of source data
• Classify data into different categories based on Security and Compliances
Polices.
• Create and maintain the metadata repository.
• Perform source system data profiling including structure, data, and
relationship discovery
• Design conceptual, logical, and physical models to meet project
requirements
• Evolve existing models to meet new and changing business requirements
• Design new tables, and integrate new tables into existing schema
• Consolidate and deliver data centric project artifacts including data
profile findings, data quality requirements, business metadata
(table/column), operational requirements (data retention, archiving, and
purge), etc.
• Generate data dictionary reports, ER Diagram and other artifacts.
• Conduct model reviews with DBA's and project team members
• Install and maintenance the Data Modeling Tools****

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*Supervisory Responsibilities:*****

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• No supervisory responsibilities.

*Minimum Qualifications: *****

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• Bachelor’s degree in Computer Science preferred. A combination of
education, technical training/certification, and relevant experience that
is equivalent to 10 years overall working experience will be considered in
lieu of an undergraduate degree.
• Minimum 5 years experience in Data Modeler and Data Analyst role in
Oracle Databases.****

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*Requirements and General Skills:*****

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*Technical Skills*****

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• 5 years of hands-on experience on developing and maintaining data
structures as well as the development of strategies for data acquisitions,
archive recovery and associated data policies.
• 5 years of hands-on data modeling expertise for relational databases both
for logical and physical data models.
• Experience in modeling large-scale (100+ entities) relational data models.
• 5 years of ERWIN or DataStage.
• Familiarity with Oracle 10g/11g database object types.
• Thorough understanding of data integration, data virtualization, data
federation and database design techniques.
• Thorough understanding of dimensional modeling, modeling for reporting
applications, normalization techniques, forward-engineering and
reverse-engineering techniques.
• In-depth understanding and practical expertise with regards to structured
system development methodologies.
• Familiarity with various process modeling techniques (activity hierarchy
diagrams, data flow diagrams, sequence diagrams, workflow diagrams, system
interface diagrams).
• Experience in designing and developing Databases, Data Warehouses and
Multidimensional Databases.
• Knowledge of the Oracle BRM data model is a plus.****

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*Functional/Management Skills*****


• Strong commitment to following SDLC/Change-Management principles
• Candidate must be a self-starter and have excellent written and oral
communication skills
• Candidate must be able to perform work with minimal supervisory direction
• Knowledge of data quality, data management and data testing strategies
and practices
• Anticipate and handle critical situations.
• Ability to thrive in change. Fast, flexible, cooperative work style.****

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*Thanks & Regards*

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*Venkat* | Technical Recruiter****

MSR Cosmos | *Mail Id:* [email protected]****

*Mobile:* 925-218-0722 | *Fax:* 925-218-0934****

*Yim:* venkatram.kyadari | *Gtalk:* venkat558.recruiter****

*Website:* www.msrcosmos.com****

*P*Please consider the environment before printing this e-mail!****

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