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*Position: Sr. Data Quality Analyst*

*Location: Warren, NJ*

*Duration: 6 months CTH*

*Job Description:*



Working with data stewards and data managers: assist in leading data
quality initiatives, propose defect prevention processes and techniques,
conduct data quality assessments, and coordinate data quality improvement
efforts.



The Senior Data Quality position is a catalyst for continuous improvement
and cost reduction that leads to improving the business value of data
quality practices.




Key Responsibilities:



*Leadership*

·       Assist in defining the mission, goals, critical success factors,
principles, and policies for data and information quality

·       Assist in formulating and conducting awareness forums, both formal
and informal

·       Formulate plans for establishing and operating a data quality
practice

·       Facilitate and document meetings with stewards, stakeholders,
development teams

·       Prepare formal reports and presentations of findings and
recommendations.



*Prevention*

·       Propose practices that will prevent data quality and data
governance problems

·       Coordinate the prioritization and implementation of data governance
improvement initiatives

·       Work to include data quality prevention techniques and methods into
the SDLC and business process engineering methods.



*Assessment*

·         Conduct audits of data quality using sound sampling and
statistical estimation techniques

·         Conduct profiling of data sets to ascertain and validate data
domains and relationships

·         Assess the business value of data in accordance with an approved
framework

·         Conduct data quality assessments and derive metrics for the data
elements of most business value.

§  Assess and provide metrics of the data quality characteristics of
validity, integrity, accuracy, completeness, timeliness control,
availability, relevance, usefulness, accessibility, and definition

§  Assess and provide metrics of metadata quality characteristics of
definition, domain, logical- physical integrity and consistency, data type,
change management, lineage, exception documentation, usability
restrictions, etc.

§  Assess and measure the process capability to capture and maintain the
quality of data throughout all business and system processes.

·         Determine business requirements for the above metrics and work
with business stewards to determine improvement initiatives

·         Evaluate the data lineage capabilities of business processes and
automated applications to determine adequacy and ability to find root
causes of data quality problems.

·         Identify the perceived versus real data quality issues and assure
explanation of perceived problems to all stakeholders



*Improvement*

·         Discover, document, and analyze data collection and data
transformation processes to determine the cause of systematic errors or
data quality qualify improvement opportunities

·         Upon finding root causes of errors, propose solution or options
for correction and prevention.

·         Provide a framework for determining the priority of data quality
correction activities

·         Coordinate data correction processes.

·         Assure that the change management process is used appropriately
for both correction and preventions and that data quality problems do not
recur.




*Primary (P) or Secondary (S)*

*Key Responsibilities: *What are the main responsibilities of the job.
Indicate which are primary (essential to the job) and which are secondary
(not essential to the job).

*% of Time Spent:*

*P*

*A.    *Data Quality

*70%*

*S*

*B.    *Data Governance

*30%*



*Shivam Dixit*

*Technical Recruiter*

*Technology Resource Group Inc*

Office: 408-709-1760 Ext 736  | Fax: 408-213-8316

3736 Hills-Dale Court,Santa Clara, CA 95051

*Yahoo ID: sdixit36*

*Gtalk ID: shivam.recruiter*

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