*Please share me a profile at :  payal.j...@tresourceinc.com
<payal.j...@tresourceinc.com>*


Hi,

Hope you are doing good.

Send me your updated resume at *payal.j...@tresourceinc.com
<payal.j...@tresourceinc.com> *



*Position: Sr. Data Quality Analyst(11+ years experience is must)*

*Location: Warren, NJ*

*Duration :6 months *



*Job Summary:*  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%*



Functional Knowledge, Skills, and Competencies: (Define the knowledge and
skills required to demonstrate proficiency/competency in the job.)

*Experience*



A combined 12+ years of experience in three or more of the following areas
is required:



·         quality control in a manufacturing environment

·         Data Governance

·         business process analysis, design, and improvement

·         statistical analysis and tool expertise

·         large and complex information systems

·         data quality specialization

·         data management



*Requirements:*



·         strong analytic, problem solving, and conceptual thinking skills

·         strong statistics knowledge, application, and tool use

·         strong understanding of Data Governance functions

·         understanding of data management principles

·         understanding of relational and dimensional databases

·         demonstrated ability to communicate with numerous functional,
technical and operational stakeholders as a reliable, respectful and
responsible partner

·         effective and clear verbal, written and interpersonal
communication skills

·         ability to negotiate alternatives, facilitate acceptance and set
expectations with stakeholders

·         attention to detail and accuracy with business value focus

·         ability to understand the’ big picture’ view and impact
technology has on business processes.

·         solid working knowledge of core business functions such as:
marketing, sales, customer relationship management, order fulfillment,
product and production management, product and service provisioning,
financial management, compliance, auditing, quality management, data
management, business intelligence, and information technology

·         skills in Data Profiling tools ( IDQ preferred)

·         strong PC skills, including MS Office, Outlook, PowerPoint and
Visio





*Differentiating Skills and Accomplishments*



·         work with executives in promoting quality as a strategic business
imperative

·         work with Data Governance and Data Stewardship

·         experience in the use of control charts for visualization and
management of process quality

·         success in implementing six sigma

·         success in implementing a data quality practice in a large company

·         experience is relating compliance and quality initiatives

·         experience with automated systems that require full history and
traceability, and in articulating the quality impact of these features

·         experience implementing quality management for data warehouses



Leadership: (Define the extent to which the role is required to lead
others, processes or programs)

Ø  The role does not manage others directly, but does mentor junior team
members.
  Problem Solving: (Define the typical level of problem solving minimally
required by the role)

Ø  The job requires complex judgments, in depth analysis, interpretative
thinking and the ability to independently develop innovative solutions.


Nature of Impact: (Define the overall impact this role has on company
operations and/or external customers)

Ø  Direct impact on the business through ensuring the services provided by
their role and other closely related roles

Ø  The job has an impact on the business by influencing decisions through
advice/counsel

Ø  The job is responsible for setting technical direction/strategy for the
area of specialty




Interpersonal Skills: (Define the required skills for the role with
internal and/or external contacts and the level/type of interaction
necessary)

Ø  Strong communication and diplomacy skills required to influence and
persuade others internally

Thanks & Regards,



Payal Jain | Technical Recruiter

Technology Resource Group Inc.
3736 Hillsdale Court Santa Clara, CA 95051

Office: 408-709-1760 Ext : 834, Direct: 4085025518

G talk: <http://www.tresourceinc.com/> trgpayaljain |  *YM*: trgpayaljain |
Fax: 408-884-2409

payal.j...@tresourceinc.com |  www.tresourceinc.com

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