Resource Requirements |
Duties: |
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. |
Experience: |
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 |