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Company Overview

Randstad US is a wholly owned subsidiary of Randstad Holding nv, an $18.8 billion global provider of HR services and the second largest staffing organization in the world. We play a pivotal role in shaping the world of work, leveraging the true value of human capital for the benefit of our clients, candidates, employees and investors.

Randstad offers a comprehensive range of HR services to our clients. We provide temporary, temporary to hire, direct hire and outsourced placement services for local and global customers and fulfill all aspects of commercial and professional staffing within Accounting & Finance, Office & Administration, Engineering, Healthcare, IT, Legal, Life Sciences, and Manufacturing & Logistics. Other offerings include payrolling, managed services, recruitment process outsourcing and HR consulting solutions.

Randstad provides skills assessments, career counseling, training, health coverage and 401(k) to eligible internal and external employees. With its 4,800 employment experts, Randstad puts an average of 125,000 people to work in the U.S. each week, through its network of more than 1,000 branches and client-dedicated locations.

More information is available at the company’s website, www.randstadstaffing.com.

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Data Modeler / Data Analyst
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Job Description


Randstad Technologies is currently seeking a Data Modeler / Data Analyst for a client engagement.  This resource would be responsible for analyzing, developing, and maintaining complex logical data designs in support of corporate and customer information system requirements.  Adheres to the use of standards and procedures, as well as integration of systems; all through proper data design and governance.

Qualified candidates would support modeling migration for enhancements, new data sources, integration with data sources , platform migration, and data governance of data warehouse environments.



Job Requirements


Required Skills:

Data and Data warehouse Analysis
Business requirements gathering skills
Entity relationship and multi-dimensional modeling
State transitions and data flow
Normalization and de-normalization, key identification (including surrogate keys), naming standards, profiling for quality purposes, derivations and aggregations
Articulates data definitions, content domains, data classes, subject area classification, and conformed dimensions.
Collects, maintains, and publishes corporate metadata related to the modeling.
Data governance concepts, standards, policies, best practices, procedures for the design and proper use and care of data
Interacts with data stewards for data definitions, consistency, quality, privacy, security, and conflict resolution.
Supports the metadata strategy as it pertains to data governance and model metadata capture.


Specific Application Skills:

ERwin and Model Manager




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