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  • Job reference: RMS0143132

Data Quality Analyst

  • Sector: ICT
  • Location: Gaydon
  • Job type: Contract
  • Date posted: 03/11/2014
This vacancy has now been filled.

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The Company:
A luxury Automotive OEM based in the West Midlands. After continued growth & success there are a number of new exciting engineering projects underway and we currently have requirements for experienced engineering professionals.

The Role:
To support the improvement in data quality across the business.

Key Responsibilities & Tasks
•To work as part of the Data Quality team in supporting the business to resolve its operational data quality issues and preparing data as part of the ERP data migration
•Attend and organise meetings with the business that focus on improving business data quality
•With support from a senior analyst, analyse business processes in line with business requirements.
•Develop plans in support of the project and agree milestones with supervisor.
•Support the deployment of the Trillium Data Quality Platform from setting up users to training them in maintaining and monitoring data connections, supporting them in creating business rules and managing these rules within the system library to develop an effective central rules engine for the business.
•Accurately document Trillium’s implementation within the business from the business users requirements definition, to recording the business data mapping between sources and the data transformation rules required, through to post implementation support
•Deliver data quality solutions that integrate with AM policies, business processes and standards.
•Develop training plans, this also includes training end users on systems and developing content.
•Resolve issues in a prompt/timely manner.
•Prepare data and conduct user acceptance testing for proprietary software and in-house software.
•Work to priorities set by supervisor/manager to maintain a good interface with internal and external “customers
•Any other delegated tasks.

Essential Skills / Qualifications:
•Minimum A level.
•An interest in Data Quality and understanding of its impact on business operations.
•A basic knowledge of UML/USDM incorporating systems documentation in the form of business requirements, system requirements, User Interfaces/ Design documentation.
•A basic knowledge of Prince2 methodology.
•A basic understanding of how and why data is common to multiple business areas and processes.
•Technical and formal systems training, with a structured analytical mind.
•Good interpersonal skills.
•Good communication skills, and a team player.
•Results oriented, with a basic understanding of business priorities, and project planning.
•Must have good clear interpersonal communication skills.
•Sound logical, and pragmatic when designing solutions.
•Must be aware of Integration issues, when designing new systems.
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