What skills does a data quality specialist need?

A data quality specialist needs 19 essential skills including information structure, database, resource description framework query language, data ethics, normalise data. Core competencies include .

Will AI replace data quality specialist jobs?

The AI disruption score for data quality specialist is 83/100 (very high risk). Some tasks may be automated but the role will evolve rather than disappear entirely.

Infocomm TechnologyInformation and communications technology professionalsISCO 2519

data quality specialist

Data quality specialists review organisation's data for accuracy, recommend enhancements to record systems and data acquisition processes and assess referential and historical integrity of data. They also develop documents and maintain data quality goals and standards and oversee an organisation's data privacy policy and monitor compliance of data flows against data quality standards.

European Skills Framework

Skills and knowledge areas required for this occupation based on European classification.

Essential (19)

information structureinformation structureThe type of infrastructure which defines the format of data: semi-structured, unstructured and structured.databasedatabaseThe classification of databases, that includes their purpose, characteristics, terminology, models and use such as XML databases, document-oriented databases and full text databases.resource description framework query languageresource description framework query languageThe query languages such as SPARQL which are used to retrieve and manipulate data stored in Resource Description Framework format (RDF).data ethicsdata ethicsThe subfield of ethics that assess whether data practices are considerable ethical. It assesses processes such as collecting, analysing and disseminating structured and unstructured data that might ne...normalise datanormalise dataReduce data to their accurate core form (normal forms) in order to achieve such results as minimisation of dependency, elimination of redundancy, increase of consistency.use data processing techniquesuse data processing techniquesGather, process and analyse relevant data and information, properly store and update data and represent figures and data using charts and statistical diagrams.manage databasemanage databaseApply database design schemes and models, define data dependencies, use query languages and database management systems (DBMS) to develop and manage databases.establish data processesestablish data processesUse ICT tools to apply mathematical, algorithmic or other data manipulation processes in order to create information.handle data sampleshandle data samplesCollect and select a set of data from a population by a statistical or other defined procedure.perform data cleansingperform data cleansingDetect and correct corrupt records from data sets, ensure that the data become and remain structured according to guidelines.define data quality criteriadefine data quality criteriaSpecify the criteria by which data quality is measured for business purposes, such as inconsistencies, incompleteness, usability for purpose and accuracy.utilise regular expressionsutilise regular expressionsCombine characters from a specific alphabet using well defined rules to generate character strings that can be used to describe a language or a pattern.design database schemedesign database schemeDraft a database scheme by following the Relational Database Management System (RDBMS) rules in order to create a logically arranged group of objects such as tables, columns and processes.implement data quality processesimplement data quality processesApply quality analysis, validation and verification techniques on data to check data quality integrity.manage datamanage dataAdminister all types of data resources through their lifecycle by performing data profiling, parsing, standardisation, identity resolution, cleansing, enhancement and auditing. Ensure the data is fit ...address problems criticallyaddress problems criticallyIdentify the strengths and weaknesses of various abstract, rational concepts, such as issues, opinions, and approaches related to a specific problematic situation in order to formulate solutions and a...report analysis resultsreport analysis resultsProduce research documents or give presentations to report the results of a conducted research and analysis project, indicating the analysis procedures and methods which led to the results, as well as...manage standards for data exchangemanage standards for data exchangeSet and maintain standards for transforming data from source schemas into the necessary data structure of a result schema.process dataprocess dataEnter information into a data storage and data retrieval system via processes such as scanning, manual keying or electronic data transfer in order to process large amounts of data.

Optional (19)

visual presentation techniquesvisual presentation techniquesThe visual representation and interaction techniques, such as histograms, scatter plots, surface plots, tree maps and parallel coordinate plots, that can be used to present abstract numerical and non-...XQueryXQueryThe computer language XQuery is a query language for retrieval of information from a database and of documents containing the needed information. It is developed by the international standards organis...data engineeringdata engineeringThe process of developing and constructing systems for implementing data collection and analysis at large scale.SPARQLSPARQLThe computer language SPARQL is a query language for retrieval of information from a database and of documents containing the needed information. It is developed by the international standards organis...statisticsstatisticsThe study of statistical theory, methods and practices such as collection, organisation, analysis, interpretation and presentation of data. It deals with all aspects of data including the planning of ...business processesbusiness processesProcesses which an organisation applies to improve efficiency, set new objectives and reach goals in a profitable and timely manner.healthcare analyticshealthcare analyticsThe use of qualitative and quantitative methods to analyse patterns in healthcare data to the aim of improving healthcare administration, quality in patient care and diseases diagnosis.LDAPLDAPThe computer language LDAP is a query language for retrieval of information from a database and of documents containing the needed information.LINQLINQThe computer language LINQ is a query language for retrieval of information from a database and of documents containing the needed information. It is developed by the software company Microsoft.data quality assessmentdata quality assessmentThe process of revealing data issues using quality indicators, measures and metrics in order to plan data cleansing and data enrichment strategies according to data quality criteria.N1QLN1QLThe computer language N1QL is a query language for retrieval of information from a database and of documents containing the needed information. It is developed by the software company Couchbase.manage schedule of tasksmanage schedule of tasksMaintain an overview of all the incoming tasks in order to prioritise the tasks, plan their execution, and integrate new tasks as they present themselves.perform data analysisperform data analysisCollect data and statistics to test and evaluate in order to generate assertions and pattern predictions, with the aim of discovering useful information in a decision-making process.execute analytical mathematical calculationsexecute analytical mathematical calculationsApply mathematical methods and make use of calculation technologies in order to perform analyses and devise solutions to specific problems.execute ICT auditsexecute ICT auditsOrganise and execute audits in order to evaluate ICT systems, compliance of components of systems, information processing systems and information security. Identify and collect potential critical issu...design database in the clouddesign database in the cloudApply design principles for an adaptive, elastic, automated, loosely coupled databases making use of cloud infrastructure. Aim to remove any single point of failure through distributed database design...perform project managementperform project managementManage and plan various resources, such as human resources, budget, deadline, results, and quality necessary for a specific project, and monitor the project's progress in order to achieve a specific g...build business relationshipsbuild business relationshipsEstablish a positive, long-term relationship between organisations and interested third parties such as suppliers, distributors, shareholders and other stakeholders in order to inform them of the orga...train employeestrain employeesLead and guide employees through a process in which they are taught the necessary skills for the perspective job. Organise activities aimed at introducing the work and systems or improving the perform...