Data Quality Specialist at Tagit

About the job

12 months contract

Minimum Qualification Required:

• A minimum of a Bachelor’s Degree in Computer Science, Management Information Systems, Computer Engineering or Equivalent

• A relevant Data Quality Certification (e.g. CDMP Associate) preferred

The following experience and skills are required for this role:

• 8 - 10 years’ experience in the field of Data Quality Management

• Financial Services Industry, organisational and business awareness knowledge and skill

• Quality assurance knowledge and skill

• Continuous improvement knowledge and skill

• Continued learning and/or professional development knowledge and skill

• Business continuity planning knowledge and skill

• IT enablement strategy knowledge and skill

• IT enablement planning knowledge and skill

• IT enablement legislation and governance, risk & compliance knowledge and skill

• IT transformation and innovation knowledge and skill

• IT enablement project management knowledge and skill

• Release management knowledge and skill 

• Application design and development knowledge and skill

• Application support and maintenance knowledge and skill

• Infrastructure design and development knowledge and skill

• Network design knowledge and skill

• Systems integration knowledge and skill

• Systems specialisation knowledge and skill

• Database administration knowledge and skill

• IT governance knowledge and skill

• Collaboration knowledge and skill

• Service management knowledge and skill

• Testing knowledge and skill

• Business intelligence knowledge and skill

• Operations knowledge and skill

• IT information storage managementknowledge and skill

• IT enablement information management knowledge and skill

• IT enablement reporting knowledge and skill

• Capacity and performance management Extensive knowledge of best practices/methodologies in Data Warehousing and Multi-dimensional data modelling (OLAP e.g. ESSBASE or Microsoft Analysis Services), system design and management

• Extensive knowledge of Business Intelligence Software Familiarity such as MicroStrategy, Pyramid, OBIEE, Microsoft Power BI and Qlikview

• Extensive knowledge in ETL development and maintenance with SSIS, IBM data stage, Oracle ODI, PL/SQL and T/SQL stored procedures and complex SQL queries

• Extensive knowledge of the most common RDBMS technologies eg. Oracle, IBM, SQLServer, MySql

• Experience in deploying and managing Big Data environments e.g HADOOP, SPARK and NoSQL

• Extensive knowledge of MDM tools e.g. Informatica

• Experience in Data Warehouse Technologies e.g. Teradata

• Knowledge of a statistical programming language will be critical. Languages like R, Python, SAS or MATLAB, and a database querying language like SQL

• Experience with a variety of programming languages including but not limited to JAVA and C #

• Experience with development using a broad variety of integration techniques, patterns, tools and methodologies

The scope will include but will not be limited to:

• Conduct an assessment on data quality maturity levels within FinSurv against best practices

• Develop standards, guidelines, processes, procedures for the quality of critical data elements within Finsurv

• Develop and promote data quality awareness across the organisation

• Define data quality measurement and metrics for the critical data elements to support reliable decision making

• Define data quality thresholds to ensure the reliability of data

• Monitor, measure and report the data quality levels to create necessary awareness and understanding of reliability of data

• Visualise the output for data quality and data profiling

• Enable the improvement of the data quality levels by means of guiding and training data stewards in all aspects of data quality (e.g. definition of data quality business rules, data quality service levels, profiling, analysis and assessment of data quality) 

• Analyse, query and facilitate data remediation according to defined business rules and procedures

• Investigate and determine root cause for data quality errors and make recommendations for long-term solutions

• Develop and execute Data Clean-up measures including remediation oversight of Data Quality issues

• Collaborate with Metadata Management in defining the Business Glossary and Data Dictionary

• Collaborate with Data Stewards in defining business rules and data validation rules

• Participate on the data classification activities as required by business