Job Title: Data Analyst w/ Erwin (010614-KANRIN-IO32-E-RAJ)
Location: Cincinnati, OH
Must be a Green card, EAD or Citizen, as this is a potential Contract to Hire after 12 months
All interviews must be Face-to Face so local is preferred

 

 

Job Description:
iORMYX Inc is currently recruiting a Data Analyst on a contract-to-hire basis to help our largest retail client in the Greater Cincinnati area.

 

 

Minimum Position Qualifications:
Experience with SQL, DB design (object oriented), Data Analysis, Data Profiling (Validation/Quality) & related tools
Experience with ERwin data modeling, SSIS, and/or Informatica toolset is a plus
Excellent verbal and written communication skills are a MUST
Hands-on experience in database design
Experience in Profiling/Validation/Quality and related tools
Hands-on experience with SQL Server SSIS and SSRS

 

 

Essential Job Functions:
Coordinates existing data and analysis from multiple sources into a single document suitable for presentation to outside bodies Includes data management (data acquisition, mining, analysis, data integrity management, metrics management and reporting)
Applies knowledge and skills to a wide range of standard and non-standard situations
Works independently with minimal guidance
Develop and deliver long-term goals for data modeling and standards in conjunction with data users, department managers, clients, and other stakeholders
Identify problematic areas and conduct research to determine the best course of action to correct the data
Analyze and recommend solutions for issues with current and planned systems as they relate to the integration and management of the data domain.
Identify, analyze, and interpret trends or patterns in complex data sets
In collaboration with others, develop and maintain databases and data systems necessary for projects and department functions
Acquire and abstract primary or secondary data from existing internal and external data sources
In collaboration with others, develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality Identifying data trends and data abnormalities

 

 

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