Job Description :

Job Description

Resource Requirements
Resolves data quality problems, and collaborates with database developers to improve systems and database designs.
Performing statistical tests on large datasets to determine data quality and integrity.
Evaluating system performance and design, as well as its effect on data quality.
Collaborating with business users, application owners, and database developers to improve data collection and storage processes.
Running data queries to identify coding issues and data exceptions, as well as cleaning data.
Gathering data from primary or secondary data sources to identify and interpret trends.
Reporting data analysis findings to management to inform business decisions and prioritize information system needs.
Documenting processes and maintaining data records, Adhering to best practices in data analysis and collection.
Keeping abreast of developments and trends in data quality analysis and proactively improving the quality of reporting
Strong project management skills in order to manage daily operations or oversee information technology personnel.
Educational Experience:
A Bachelor's Degree from an accredited college or university with a major in Computer Science, Information Systems, Engineering, Business, or other related scientific or technical discipline. A Master's Degree is preferred.
At least 12+  years of experience with Data Management, Data Governance or Data Quality 
Proven experience of having worked on and data quality skills in:
Data Profiling, quality rules definition and automation
Data discovery
Data quality measurement and metric generation, and aggregation into quality performance indicators
All aspects of data quality management including a full end to end data quality implementation
Information chain analysis and management
Root cause analysis
Cost benefit analysis and ROI discovery
Proficiency in programming languages, including Structured Query Language (SQL) and JavaScript.
In-depth knowledge of statistical methods and tests.
Advanced experience with statistical packages, such as MS Excel, SAS, and SPSS
Exceptional analytical skills.  Advanced problem-solving skills.
Knowledge of best practices in data analysis.
Excellent interpersonal and communication skills.
Experience of Data Quality and Data Matching Rules
Performance Tuning or DBA experience is a plus
Business Analysis and Scoping of Client Requirements and Deliverables
Worked in an Agile SCRUM environment
Experience using data governance tools such as: Informatica
Experience in partnering with a diverse team in multiple locations
Preference for recognised data quality certification e.g. IQCP, CIMP, ISO 8000

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