-
Catalog:
•Setup and manage our data catalog using Microsoft Purview, including classification, search, and integration with data sources.
•Catalog datasets as priortised collecting metadata such as source, type, format, size, quality, lineage, and tranformations etc.
•Implement data classification for datasets based on sensitivity, confidentiality, and regulatory requirements.
•Configure the tool to support easy search and discovery of datasets and metadata.
•Advise on the management of data lifecycle for our systems including data retention
Analyse & Report:
•Analyse datasets for data quality to identify inconsistencies, errors, and data quality issues.
•Perform data profiling activities to increase knowledge on quality of critical datasets.
•Develop and implement data quality standards, processes, and procedures.
•Arrange development of data quality reporting to be available to Data Owners / Stewards for critical datasets.
•Monitor and report on data quality metrics and trends.
Engage:
•Collaborate with various teams to understand data requirements and ensure data quality goals are met.
•Identify opportunities for process improvements and automation to enhance data quality, and engage colleagues to drive these initiatives.
•Provide guidance and support to stakeholders on data quality best practices.
•Stay updated with industry trends and emerging technologies related to data quality.
Qualifications and/or Experience
•Proven experience working as a Data Quality Analyst in a large enterprise.
•Desirable: Degree in Computer Science, Information Management or related field.
•Experience with use of Microsoft Purview, and use of Data Cataloging tools.
•Familiarity with data quality tools and technologies.
•Strong knowledge of data quality principles, practices, and methodologies.
•Proficient in SQL and data manipulation languages.
•Experience with data profiling and data cleansing techniques.
•Understanding of data governance principles and frameworks.
•Prior experience working in Agile teams.
•Knowledge of relevant data protection regulations and compliance requirements, such as GDPR.
Individual competencies
•Analytical Thinking: Proficient in analysing complex data sets and identifying patterns, trends, and anomalies.
•Attention to Detail: Ability to identify and rectify data quality issues with precision and accuracy.
•Problem Solving: Capability to identify root causes of data quality issues and develop effective solutions.
•Collaboration: Aptitude to work effectively with cross-functional teams and stakeholders to achieve data quality goals.
•Continuous Learning: Willingness to stay updated with industry best practices and emerging technologies in data quality.
•Communication: Strong verbal and written communication skills to convey complex ideas and concepts to technical and non-technical audiences.
•Influence: Ability to influence others to adju...
....Read more...
Type: Permanent Location: Columbus, US-GA
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:09
-
Catalog:
•Setup and manage our data catalog using Microsoft Purview, including classification, search, and integration with data sources.
•Catalog datasets as priortised collecting metadata such as source, type, format, size, quality, lineage, and tranformations etc.
•Implement data classification for datasets based on sensitivity, confidentiality, and regulatory requirements.
•Configure the tool to support easy search and discovery of datasets and metadata.
•Advise on the management of data lifecycle for our systems including data retention
Analyse & Report:
•Analyse datasets for data quality to identify inconsistencies, errors, and data quality issues.
•Perform data profiling activities to increase knowledge on quality of critical datasets.
•Develop and implement data quality standards, processes, and procedures.
•Arrange development of data quality reporting to be available to Data Owners / Stewards for critical datasets.
•Monitor and report on data quality metrics and trends.
Engage:
•Collaborate with various teams to understand data requirements and ensure data quality goals are met.
•Identify opportunities for process improvements and automation to enhance data quality, and engage colleagues to drive these initiatives.
•Provide guidance and support to stakeholders on data quality best practices.
•Stay updated with industry trends and emerging technologies related to data quality.
Qualifications and/or Experience
•Proven experience working as a Data Quality Analyst in a large enterprise.
•Desirable: Degree in Computer Science, Information Management or related field.
•Experience with use of Microsoft Purview, and use of Data Cataloging tools.
•Familiarity with data quality tools and technologies.
•Strong knowledge of data quality principles, practices, and methodologies.
•Proficient in SQL and data manipulation languages.
•Experience with data profiling and data cleansing techniques.
•Understanding of data governance principles and frameworks.
•Prior experience working in Agile teams.
•Knowledge of relevant data protection regulations and compliance requirements, such as GDPR.
Individual competencies
•Analytical Thinking: Proficient in analysing complex data sets and identifying patterns, trends, and anomalies.
•Attention to Detail: Ability to identify and rectify data quality issues with precision and accuracy.
•Problem Solving: Capability to identify root causes of data quality issues and develop effective solutions.
•Collaboration: Aptitude to work effectively with cross-functional teams and stakeholders to achieve data quality goals.
•Continuous Learning: Willingness to stay updated with industry best practices and emerging technologies in data quality.
•Communication: Strong verbal and written communication skills to convey complex ideas and concepts to technical and non-technical audiences.
•Influence: Ability to influence others to adju...
....Read more...
Type: Permanent Location: Idaho Falls, US-ID
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:08
-
Catalog:
•Setup and manage our data catalog using Microsoft Purview, including classification, search, and integration with data sources.
•Catalog datasets as priortised collecting metadata such as source, type, format, size, quality, lineage, and tranformations etc.
•Implement data classification for datasets based on sensitivity, confidentiality, and regulatory requirements.
•Configure the tool to support easy search and discovery of datasets and metadata.
•Advise on the management of data lifecycle for our systems including data retention
Analyse & Report:
•Analyse datasets for data quality to identify inconsistencies, errors, and data quality issues.
•Perform data profiling activities to increase knowledge on quality of critical datasets.
•Develop and implement data quality standards, processes, and procedures.
•Arrange development of data quality reporting to be available to Data Owners / Stewards for critical datasets.
•Monitor and report on data quality metrics and trends.
Engage:
•Collaborate with various teams to understand data requirements and ensure data quality goals are met.
•Identify opportunities for process improvements and automation to enhance data quality, and engage colleagues to drive these initiatives.
•Provide guidance and support to stakeholders on data quality best practices.
•Stay updated with industry trends and emerging technologies related to data quality.
Qualifications and/or Experience
•Proven experience working as a Data Quality Analyst in a large enterprise.
•Desirable: Degree in Computer Science, Information Management or related field.
•Experience with use of Microsoft Purview, and use of Data Cataloging tools.
•Familiarity with data quality tools and technologies.
•Strong knowledge of data quality principles, practices, and methodologies.
•Proficient in SQL and data manipulation languages.
•Experience with data profiling and data cleansing techniques.
•Understanding of data governance principles and frameworks.
•Prior experience working in Agile teams.
•Knowledge of relevant data protection regulations and compliance requirements, such as GDPR.
Individual competencies
•Analytical Thinking: Proficient in analysing complex data sets and identifying patterns, trends, and anomalies.
•Attention to Detail: Ability to identify and rectify data quality issues with precision and accuracy.
•Problem Solving: Capability to identify root causes of data quality issues and develop effective solutions.
•Collaboration: Aptitude to work effectively with cross-functional teams and stakeholders to achieve data quality goals.
•Continuous Learning: Willingness to stay updated with industry best practices and emerging technologies in data quality.
•Communication: Strong verbal and written communication skills to convey complex ideas and concepts to technical and non-technical audiences.
•Influence: Ability to influence others to adju...
....Read more...
Type: Permanent Location: Savannah, US-GA
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:07
-
Catalog:
•Setup and manage our data catalog using Microsoft Purview, including classification, search, and integration with data sources.
•Catalog datasets as priortised collecting metadata such as source, type, format, size, quality, lineage, and tranformations etc.
•Implement data classification for datasets based on sensitivity, confidentiality, and regulatory requirements.
•Configure the tool to support easy search and discovery of datasets and metadata.
•Advise on the management of data lifecycle for our systems including data retention
Analyse & Report:
•Analyse datasets for data quality to identify inconsistencies, errors, and data quality issues.
•Perform data profiling activities to increase knowledge on quality of critical datasets.
•Develop and implement data quality standards, processes, and procedures.
•Arrange development of data quality reporting to be available to Data Owners / Stewards for critical datasets.
•Monitor and report on data quality metrics and trends.
Engage:
•Collaborate with various teams to understand data requirements and ensure data quality goals are met.
•Identify opportunities for process improvements and automation to enhance data quality, and engage colleagues to drive these initiatives.
•Provide guidance and support to stakeholders on data quality best practices.
•Stay updated with industry trends and emerging technologies related to data quality.
Qualifications and/or Experience
•Proven experience working as a Data Quality Analyst in a large enterprise.
•Desirable: Degree in Computer Science, Information Management or related field.
•Experience with use of Microsoft Purview, and use of Data Cataloging tools.
•Familiarity with data quality tools and technologies.
•Strong knowledge of data quality principles, practices, and methodologies.
•Proficient in SQL and data manipulation languages.
•Experience with data profiling and data cleansing techniques.
•Understanding of data governance principles and frameworks.
•Prior experience working in Agile teams.
•Knowledge of relevant data protection regulations and compliance requirements, such as GDPR.
Individual competencies
•Analytical Thinking: Proficient in analysing complex data sets and identifying patterns, trends, and anomalies.
•Attention to Detail: Ability to identify and rectify data quality issues with precision and accuracy.
•Problem Solving: Capability to identify root causes of data quality issues and develop effective solutions.
•Collaboration: Aptitude to work effectively with cross-functional teams and stakeholders to achieve data quality goals.
•Continuous Learning: Willingness to stay updated with industry best practices and emerging technologies in data quality.
•Communication: Strong verbal and written communication skills to convey complex ideas and concepts to technical and non-technical audiences.
•Influence: Ability to influence others to adju...
....Read more...
Type: Permanent Location: Tampa, US-FL
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:07
-
Catalog:
•Setup and manage our data catalog using Microsoft Purview, including classification, search, and integration with data sources.
•Catalog datasets as priortised collecting metadata such as source, type, format, size, quality, lineage, and tranformations etc.
•Implement data classification for datasets based on sensitivity, confidentiality, and regulatory requirements.
•Configure the tool to support easy search and discovery of datasets and metadata.
•Advise on the management of data lifecycle for our systems including data retention
Analyse & Report:
•Analyse datasets for data quality to identify inconsistencies, errors, and data quality issues.
•Perform data profiling activities to increase knowledge on quality of critical datasets.
•Develop and implement data quality standards, processes, and procedures.
•Arrange development of data quality reporting to be available to Data Owners / Stewards for critical datasets.
•Monitor and report on data quality metrics and trends.
Engage:
•Collaborate with various teams to understand data requirements and ensure data quality goals are met.
•Identify opportunities for process improvements and automation to enhance data quality, and engage colleagues to drive these initiatives.
•Provide guidance and support to stakeholders on data quality best practices.
•Stay updated with industry trends and emerging technologies related to data quality.
Qualifications and/or Experience
•Proven experience working as a Data Quality Analyst in a large enterprise.
•Desirable: Degree in Computer Science, Information Management or related field.
•Experience with use of Microsoft Purview, and use of Data Cataloging tools.
•Familiarity with data quality tools and technologies.
•Strong knowledge of data quality principles, practices, and methodologies.
•Proficient in SQL and data manipulation languages.
•Experience with data profiling and data cleansing techniques.
•Understanding of data governance principles and frameworks.
•Prior experience working in Agile teams.
•Knowledge of relevant data protection regulations and compliance requirements, such as GDPR.
Individual competencies
•Analytical Thinking: Proficient in analysing complex data sets and identifying patterns, trends, and anomalies.
•Attention to Detail: Ability to identify and rectify data quality issues with precision and accuracy.
•Problem Solving: Capability to identify root causes of data quality issues and develop effective solutions.
•Collaboration: Aptitude to work effectively with cross-functional teams and stakeholders to achieve data quality goals.
•Continuous Learning: Willingness to stay updated with industry best practices and emerging technologies in data quality.
•Communication: Strong verbal and written communication skills to convey complex ideas and concepts to technical and non-technical audiences.
•Influence: Ability to influence others to adju...
....Read more...
Type: Permanent Location: Tallahassee, US-FL
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:06
-
Catalog:
•Setup and manage our data catalog using Microsoft Purview, including classification, search, and integration with data sources.
•Catalog datasets as priortised collecting metadata such as source, type, format, size, quality, lineage, and tranformations etc.
•Implement data classification for datasets based on sensitivity, confidentiality, and regulatory requirements.
•Configure the tool to support easy search and discovery of datasets and metadata.
•Advise on the management of data lifecycle for our systems including data retention
Analyse & Report:
•Analyse datasets for data quality to identify inconsistencies, errors, and data quality issues.
•Perform data profiling activities to increase knowledge on quality of critical datasets.
•Develop and implement data quality standards, processes, and procedures.
•Arrange development of data quality reporting to be available to Data Owners / Stewards for critical datasets.
•Monitor and report on data quality metrics and trends.
Engage:
•Collaborate with various teams to understand data requirements and ensure data quality goals are met.
•Identify opportunities for process improvements and automation to enhance data quality, and engage colleagues to drive these initiatives.
•Provide guidance and support to stakeholders on data quality best practices.
•Stay updated with industry trends and emerging technologies related to data quality.
Qualifications and/or Experience
•Proven experience working as a Data Quality Analyst in a large enterprise.
•Desirable: Degree in Computer Science, Information Management or related field.
•Experience with use of Microsoft Purview, and use of Data Cataloging tools.
•Familiarity with data quality tools and technologies.
•Strong knowledge of data quality principles, practices, and methodologies.
•Proficient in SQL and data manipulation languages.
•Experience with data profiling and data cleansing techniques.
•Understanding of data governance principles and frameworks.
•Prior experience working in Agile teams.
•Knowledge of relevant data protection regulations and compliance requirements, such as GDPR.
Individual competencies
•Analytical Thinking: Proficient in analysing complex data sets and identifying patterns, trends, and anomalies.
•Attention to Detail: Ability to identify and rectify data quality issues with precision and accuracy.
•Problem Solving: Capability to identify root causes of data quality issues and develop effective solutions.
•Collaboration: Aptitude to work effectively with cross-functional teams and stakeholders to achieve data quality goals.
•Continuous Learning: Willingness to stay updated with industry best practices and emerging technologies in data quality.
•Communication: Strong verbal and written communication skills to convey complex ideas and concepts to technical and non-technical audiences.
•Influence: Ability to influence others to adju...
....Read more...
Type: Permanent Location: Jacksonville, US-FL
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:05
-
Catalog:
•Setup and manage our data catalog using Microsoft Purview, including classification, search, and integration with data sources.
•Catalog datasets as priortised collecting metadata such as source, type, format, size, quality, lineage, and tranformations etc.
•Implement data classification for datasets based on sensitivity, confidentiality, and regulatory requirements.
•Configure the tool to support easy search and discovery of datasets and metadata.
•Advise on the management of data lifecycle for our systems including data retention
Analyse & Report:
•Analyse datasets for data quality to identify inconsistencies, errors, and data quality issues.
•Perform data profiling activities to increase knowledge on quality of critical datasets.
•Develop and implement data quality standards, processes, and procedures.
•Arrange development of data quality reporting to be available to Data Owners / Stewards for critical datasets.
•Monitor and report on data quality metrics and trends.
Engage:
•Collaborate with various teams to understand data requirements and ensure data quality goals are met.
•Identify opportunities for process improvements and automation to enhance data quality, and engage colleagues to drive these initiatives.
•Provide guidance and support to stakeholders on data quality best practices.
•Stay updated with industry trends and emerging technologies related to data quality.
Qualifications and/or Experience
•Proven experience working as a Data Quality Analyst in a large enterprise.
•Desirable: Degree in Computer Science, Information Management or related field.
•Experience with use of Microsoft Purview, and use of Data Cataloging tools.
•Familiarity with data quality tools and technologies.
•Strong knowledge of data quality principles, practices, and methodologies.
•Proficient in SQL and data manipulation languages.
•Experience with data profiling and data cleansing techniques.
•Understanding of data governance principles and frameworks.
•Prior experience working in Agile teams.
•Knowledge of relevant data protection regulations and compliance requirements, such as GDPR.
Individual competencies
•Analytical Thinking: Proficient in analysing complex data sets and identifying patterns, trends, and anomalies.
•Attention to Detail: Ability to identify and rectify data quality issues with precision and accuracy.
•Problem Solving: Capability to identify root causes of data quality issues and develop effective solutions.
•Collaboration: Aptitude to work effectively with cross-functional teams and stakeholders to achieve data quality goals.
•Continuous Learning: Willingness to stay updated with industry best practices and emerging technologies in data quality.
•Communication: Strong verbal and written communication skills to convey complex ideas and concepts to technical and non-technical audiences.
•Influence: Ability to influence others to adju...
....Read more...
Type: Permanent Location: Wilmington, US-DE
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:05
-
Catalog:
•Setup and manage our data catalog using Microsoft Purview, including classification, search, and integration with data sources.
•Catalog datasets as priortised collecting metadata such as source, type, format, size, quality, lineage, and tranformations etc.
•Implement data classification for datasets based on sensitivity, confidentiality, and regulatory requirements.
•Configure the tool to support easy search and discovery of datasets and metadata.
•Advise on the management of data lifecycle for our systems including data retention
Analyse & Report:
•Analyse datasets for data quality to identify inconsistencies, errors, and data quality issues.
•Perform data profiling activities to increase knowledge on quality of critical datasets.
•Develop and implement data quality standards, processes, and procedures.
•Arrange development of data quality reporting to be available to Data Owners / Stewards for critical datasets.
•Monitor and report on data quality metrics and trends.
Engage:
•Collaborate with various teams to understand data requirements and ensure data quality goals are met.
•Identify opportunities for process improvements and automation to enhance data quality, and engage colleagues to drive these initiatives.
•Provide guidance and support to stakeholders on data quality best practices.
•Stay updated with industry trends and emerging technologies related to data quality.
Qualifications and/or Experience
•Proven experience working as a Data Quality Analyst in a large enterprise.
•Desirable: Degree in Computer Science, Information Management or related field.
•Experience with use of Microsoft Purview, and use of Data Cataloging tools.
•Familiarity with data quality tools and technologies.
•Strong knowledge of data quality principles, practices, and methodologies.
•Proficient in SQL and data manipulation languages.
•Experience with data profiling and data cleansing techniques.
•Understanding of data governance principles and frameworks.
•Prior experience working in Agile teams.
•Knowledge of relevant data protection regulations and compliance requirements, such as GDPR.
Individual competencies
•Analytical Thinking: Proficient in analysing complex data sets and identifying patterns, trends, and anomalies.
•Attention to Detail: Ability to identify and rectify data quality issues with precision and accuracy.
•Problem Solving: Capability to identify root causes of data quality issues and develop effective solutions.
•Collaboration: Aptitude to work effectively with cross-functional teams and stakeholders to achieve data quality goals.
•Continuous Learning: Willingness to stay updated with industry best practices and emerging technologies in data quality.
•Communication: Strong verbal and written communication skills to convey complex ideas and concepts to technical and non-technical audiences.
•Influence: Ability to influence others to adju...
....Read more...
Type: Permanent Location: Dover, US-DE
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:04
-
Catalog:
•Setup and manage our data catalog using Microsoft Purview, including classification, search, and integration with data sources.
•Catalog datasets as priortised collecting metadata such as source, type, format, size, quality, lineage, and tranformations etc.
•Implement data classification for datasets based on sensitivity, confidentiality, and regulatory requirements.
•Configure the tool to support easy search and discovery of datasets and metadata.
•Advise on the management of data lifecycle for our systems including data retention
Analyse & Report:
•Analyse datasets for data quality to identify inconsistencies, errors, and data quality issues.
•Perform data profiling activities to increase knowledge on quality of critical datasets.
•Develop and implement data quality standards, processes, and procedures.
•Arrange development of data quality reporting to be available to Data Owners / Stewards for critical datasets.
•Monitor and report on data quality metrics and trends.
Engage:
•Collaborate with various teams to understand data requirements and ensure data quality goals are met.
•Identify opportunities for process improvements and automation to enhance data quality, and engage colleagues to drive these initiatives.
•Provide guidance and support to stakeholders on data quality best practices.
•Stay updated with industry trends and emerging technologies related to data quality.
Qualifications and/or Experience
•Proven experience working as a Data Quality Analyst in a large enterprise.
•Desirable: Degree in Computer Science, Information Management or related field.
•Experience with use of Microsoft Purview, and use of Data Cataloging tools.
•Familiarity with data quality tools and technologies.
•Strong knowledge of data quality principles, practices, and methodologies.
•Proficient in SQL and data manipulation languages.
•Experience with data profiling and data cleansing techniques.
•Understanding of data governance principles and frameworks.
•Prior experience working in Agile teams.
•Knowledge of relevant data protection regulations and compliance requirements, such as GDPR.
Individual competencies
•Analytical Thinking: Proficient in analysing complex data sets and identifying patterns, trends, and anomalies.
•Attention to Detail: Ability to identify and rectify data quality issues with precision and accuracy.
•Problem Solving: Capability to identify root causes of data quality issues and develop effective solutions.
•Collaboration: Aptitude to work effectively with cross-functional teams and stakeholders to achieve data quality goals.
•Continuous Learning: Willingness to stay updated with industry best practices and emerging technologies in data quality.
•Communication: Strong verbal and written communication skills to convey complex ideas and concepts to technical and non-technical audiences.
•Influence: Ability to influence others to adju...
....Read more...
Type: Permanent Location: Miami, US-FL
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:04
-
Catalog:
•Setup and manage our data catalog using Microsoft Purview, including classification, search, and integration with data sources.
•Catalog datasets as priortised collecting metadata such as source, type, format, size, quality, lineage, and tranformations etc.
•Implement data classification for datasets based on sensitivity, confidentiality, and regulatory requirements.
•Configure the tool to support easy search and discovery of datasets and metadata.
•Advise on the management of data lifecycle for our systems including data retention
Analyse & Report:
•Analyse datasets for data quality to identify inconsistencies, errors, and data quality issues.
•Perform data profiling activities to increase knowledge on quality of critical datasets.
•Develop and implement data quality standards, processes, and procedures.
•Arrange development of data quality reporting to be available to Data Owners / Stewards for critical datasets.
•Monitor and report on data quality metrics and trends.
Engage:
•Collaborate with various teams to understand data requirements and ensure data quality goals are met.
•Identify opportunities for process improvements and automation to enhance data quality, and engage colleagues to drive these initiatives.
•Provide guidance and support to stakeholders on data quality best practices.
•Stay updated with industry trends and emerging technologies related to data quality.
Qualifications and/or Experience
•Proven experience working as a Data Quality Analyst in a large enterprise.
•Desirable: Degree in Computer Science, Information Management or related field.
•Experience with use of Microsoft Purview, and use of Data Cataloging tools.
•Familiarity with data quality tools and technologies.
•Strong knowledge of data quality principles, practices, and methodologies.
•Proficient in SQL and data manipulation languages.
•Experience with data profiling and data cleansing techniques.
•Understanding of data governance principles and frameworks.
•Prior experience working in Agile teams.
•Knowledge of relevant data protection regulations and compliance requirements, such as GDPR.
Individual competencies
•Analytical Thinking: Proficient in analysing complex data sets and identifying patterns, trends, and anomalies.
•Attention to Detail: Ability to identify and rectify data quality issues with precision and accuracy.
•Problem Solving: Capability to identify root causes of data quality issues and develop effective solutions.
•Collaboration: Aptitude to work effectively with cross-functional teams and stakeholders to achieve data quality goals.
•Continuous Learning: Willingness to stay updated with industry best practices and emerging technologies in data quality.
•Communication: Strong verbal and written communication skills to convey complex ideas and concepts to technical and non-technical audiences.
•Influence: Ability to influence others to adju...
....Read more...
Type: Permanent Location: Denver, US-CO
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:03
-
Catalog:
•Setup and manage our data catalog using Microsoft Purview, including classification, search, and integration with data sources.
•Catalog datasets as priortised collecting metadata such as source, type, format, size, quality, lineage, and tranformations etc.
•Implement data classification for datasets based on sensitivity, confidentiality, and regulatory requirements.
•Configure the tool to support easy search and discovery of datasets and metadata.
•Advise on the management of data lifecycle for our systems including data retention
Analyse & Report:
•Analyse datasets for data quality to identify inconsistencies, errors, and data quality issues.
•Perform data profiling activities to increase knowledge on quality of critical datasets.
•Develop and implement data quality standards, processes, and procedures.
•Arrange development of data quality reporting to be available to Data Owners / Stewards for critical datasets.
•Monitor and report on data quality metrics and trends.
Engage:
•Collaborate with various teams to understand data requirements and ensure data quality goals are met.
•Identify opportunities for process improvements and automation to enhance data quality, and engage colleagues to drive these initiatives.
•Provide guidance and support to stakeholders on data quality best practices.
•Stay updated with industry trends and emerging technologies related to data quality.
Qualifications and/or Experience
•Proven experience working as a Data Quality Analyst in a large enterprise.
•Desirable: Degree in Computer Science, Information Management or related field.
•Experience with use of Microsoft Purview, and use of Data Cataloging tools.
•Familiarity with data quality tools and technologies.
•Strong knowledge of data quality principles, practices, and methodologies.
•Proficient in SQL and data manipulation languages.
•Experience with data profiling and data cleansing techniques.
•Understanding of data governance principles and frameworks.
•Prior experience working in Agile teams.
•Knowledge of relevant data protection regulations and compliance requirements, such as GDPR.
Individual competencies
•Analytical Thinking: Proficient in analysing complex data sets and identifying patterns, trends, and anomalies.
•Attention to Detail: Ability to identify and rectify data quality issues with precision and accuracy.
•Problem Solving: Capability to identify root causes of data quality issues and develop effective solutions.
•Collaboration: Aptitude to work effectively with cross-functional teams and stakeholders to achieve data quality goals.
•Continuous Learning: Willingness to stay updated with industry best practices and emerging technologies in data quality.
•Communication: Strong verbal and written communication skills to convey complex ideas and concepts to technical and non-technical audiences.
•Influence: Ability to influence others to adju...
....Read more...
Type: Permanent Location: San Francisco, US-CA
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:02
-
Catalog:
•Setup and manage our data catalog using Microsoft Purview, including classification, search, and integration with data sources.
•Catalog datasets as priortised collecting metadata such as source, type, format, size, quality, lineage, and tranformations etc.
•Implement data classification for datasets based on sensitivity, confidentiality, and regulatory requirements.
•Configure the tool to support easy search and discovery of datasets and metadata.
•Advise on the management of data lifecycle for our systems including data retention
Analyse & Report:
•Analyse datasets for data quality to identify inconsistencies, errors, and data quality issues.
•Perform data profiling activities to increase knowledge on quality of critical datasets.
•Develop and implement data quality standards, processes, and procedures.
•Arrange development of data quality reporting to be available to Data Owners / Stewards for critical datasets.
•Monitor and report on data quality metrics and trends.
Engage:
•Collaborate with various teams to understand data requirements and ensure data quality goals are met.
•Identify opportunities for process improvements and automation to enhance data quality, and engage colleagues to drive these initiatives.
•Provide guidance and support to stakeholders on data quality best practices.
•Stay updated with industry trends and emerging technologies related to data quality.
Qualifications and/or Experience
•Proven experience working as a Data Quality Analyst in a large enterprise.
•Desirable: Degree in Computer Science, Information Management or related field.
•Experience with use of Microsoft Purview, and use of Data Cataloging tools.
•Familiarity with data quality tools and technologies.
•Strong knowledge of data quality principles, practices, and methodologies.
•Proficient in SQL and data manipulation languages.
•Experience with data profiling and data cleansing techniques.
•Understanding of data governance principles and frameworks.
•Prior experience working in Agile teams.
•Knowledge of relevant data protection regulations and compliance requirements, such as GDPR.
Individual competencies
•Analytical Thinking: Proficient in analysing complex data sets and identifying patterns, trends, and anomalies.
•Attention to Detail: Ability to identify and rectify data quality issues with precision and accuracy.
•Problem Solving: Capability to identify root causes of data quality issues and develop effective solutions.
•Collaboration: Aptitude to work effectively with cross-functional teams and stakeholders to achieve data quality goals.
•Continuous Learning: Willingness to stay updated with industry best practices and emerging technologies in data quality.
•Communication: Strong verbal and written communication skills to convey complex ideas and concepts to technical and non-technical audiences.
•Influence: Ability to influence others to adju...
....Read more...
Type: Permanent Location: Bridgeport, US-CT
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:02
-
Catalog:
•Setup and manage our data catalog using Microsoft Purview, including classification, search, and integration with data sources.
•Catalog datasets as priortised collecting metadata such as source, type, format, size, quality, lineage, and tranformations etc.
•Implement data classification for datasets based on sensitivity, confidentiality, and regulatory requirements.
•Configure the tool to support easy search and discovery of datasets and metadata.
•Advise on the management of data lifecycle for our systems including data retention
Analyse & Report:
•Analyse datasets for data quality to identify inconsistencies, errors, and data quality issues.
•Perform data profiling activities to increase knowledge on quality of critical datasets.
•Develop and implement data quality standards, processes, and procedures.
•Arrange development of data quality reporting to be available to Data Owners / Stewards for critical datasets.
•Monitor and report on data quality metrics and trends.
Engage:
•Collaborate with various teams to understand data requirements and ensure data quality goals are met.
•Identify opportunities for process improvements and automation to enhance data quality, and engage colleagues to drive these initiatives.
•Provide guidance and support to stakeholders on data quality best practices.
•Stay updated with industry trends and emerging technologies related to data quality.
Qualifications and/or Experience
•Proven experience working as a Data Quality Analyst in a large enterprise.
•Desirable: Degree in Computer Science, Information Management or related field.
•Experience with use of Microsoft Purview, and use of Data Cataloging tools.
•Familiarity with data quality tools and technologies.
•Strong knowledge of data quality principles, practices, and methodologies.
•Proficient in SQL and data manipulation languages.
•Experience with data profiling and data cleansing techniques.
•Understanding of data governance principles and frameworks.
•Prior experience working in Agile teams.
•Knowledge of relevant data protection regulations and compliance requirements, such as GDPR.
Individual competencies
•Analytical Thinking: Proficient in analysing complex data sets and identifying patterns, trends, and anomalies.
•Attention to Detail: Ability to identify and rectify data quality issues with precision and accuracy.
•Problem Solving: Capability to identify root causes of data quality issues and develop effective solutions.
•Collaboration: Aptitude to work effectively with cross-functional teams and stakeholders to achieve data quality goals.
•Continuous Learning: Willingness to stay updated with industry best practices and emerging technologies in data quality.
•Communication: Strong verbal and written communication skills to convey complex ideas and concepts to technical and non-technical audiences.
•Influence: Ability to influence others to adju...
....Read more...
Type: Permanent Location: Sacramento, US-CA
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:01
-
Catalog:
•Setup and manage our data catalog using Microsoft Purview, including classification, search, and integration with data sources.
•Catalog datasets as priortised collecting metadata such as source, type, format, size, quality, lineage, and tranformations etc.
•Implement data classification for datasets based on sensitivity, confidentiality, and regulatory requirements.
•Configure the tool to support easy search and discovery of datasets and metadata.
•Advise on the management of data lifecycle for our systems including data retention
Analyse & Report:
•Analyse datasets for data quality to identify inconsistencies, errors, and data quality issues.
•Perform data profiling activities to increase knowledge on quality of critical datasets.
•Develop and implement data quality standards, processes, and procedures.
•Arrange development of data quality reporting to be available to Data Owners / Stewards for critical datasets.
•Monitor and report on data quality metrics and trends.
Engage:
•Collaborate with various teams to understand data requirements and ensure data quality goals are met.
•Identify opportunities for process improvements and automation to enhance data quality, and engage colleagues to drive these initiatives.
•Provide guidance and support to stakeholders on data quality best practices.
•Stay updated with industry trends and emerging technologies related to data quality.
Qualifications and/or Experience
•Proven experience working as a Data Quality Analyst in a large enterprise.
•Desirable: Degree in Computer Science, Information Management or related field.
•Experience with use of Microsoft Purview, and use of Data Cataloging tools.
•Familiarity with data quality tools and technologies.
•Strong knowledge of data quality principles, practices, and methodologies.
•Proficient in SQL and data manipulation languages.
•Experience with data profiling and data cleansing techniques.
•Understanding of data governance principles and frameworks.
•Prior experience working in Agile teams.
•Knowledge of relevant data protection regulations and compliance requirements, such as GDPR.
Individual competencies
•Analytical Thinking: Proficient in analysing complex data sets and identifying patterns, trends, and anomalies.
•Attention to Detail: Ability to identify and rectify data quality issues with precision and accuracy.
•Problem Solving: Capability to identify root causes of data quality issues and develop effective solutions.
•Collaboration: Aptitude to work effectively with cross-functional teams and stakeholders to achieve data quality goals.
•Continuous Learning: Willingness to stay updated with industry best practices and emerging technologies in data quality.
•Communication: Strong verbal and written communication skills to convey complex ideas and concepts to technical and non-technical audiences.
•Influence: Ability to influence others to adju...
....Read more...
Type: Permanent Location: Colorado Springs, US-CO
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:00
-
Catalog:
•Setup and manage our data catalog using Microsoft Purview, including classification, search, and integration with data sources.
•Catalog datasets as priortised collecting metadata such as source, type, format, size, quality, lineage, and tranformations etc.
•Implement data classification for datasets based on sensitivity, confidentiality, and regulatory requirements.
•Configure the tool to support easy search and discovery of datasets and metadata.
•Advise on the management of data lifecycle for our systems including data retention
Analyse & Report:
•Analyse datasets for data quality to identify inconsistencies, errors, and data quality issues.
•Perform data profiling activities to increase knowledge on quality of critical datasets.
•Develop and implement data quality standards, processes, and procedures.
•Arrange development of data quality reporting to be available to Data Owners / Stewards for critical datasets.
•Monitor and report on data quality metrics and trends.
Engage:
•Collaborate with various teams to understand data requirements and ensure data quality goals are met.
•Identify opportunities for process improvements and automation to enhance data quality, and engage colleagues to drive these initiatives.
•Provide guidance and support to stakeholders on data quality best practices.
•Stay updated with industry trends and emerging technologies related to data quality.
Qualifications and/or Experience
•Proven experience working as a Data Quality Analyst in a large enterprise.
•Desirable: Degree in Computer Science, Information Management or related field.
•Experience with use of Microsoft Purview, and use of Data Cataloging tools.
•Familiarity with data quality tools and technologies.
•Strong knowledge of data quality principles, practices, and methodologies.
•Proficient in SQL and data manipulation languages.
•Experience with data profiling and data cleansing techniques.
•Understanding of data governance principles and frameworks.
•Prior experience working in Agile teams.
•Knowledge of relevant data protection regulations and compliance requirements, such as GDPR.
Individual competencies
•Analytical Thinking: Proficient in analysing complex data sets and identifying patterns, trends, and anomalies.
•Attention to Detail: Ability to identify and rectify data quality issues with precision and accuracy.
•Problem Solving: Capability to identify root causes of data quality issues and develop effective solutions.
•Collaboration: Aptitude to work effectively with cross-functional teams and stakeholders to achieve data quality goals.
•Continuous Learning: Willingness to stay updated with industry best practices and emerging technologies in data quality.
•Communication: Strong verbal and written communication skills to convey complex ideas and concepts to technical and non-technical audiences.
•Influence: Ability to influence others to adju...
....Read more...
Type: Permanent Location: Hartford, US-CT
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:00
-
Catalog:
•Setup and manage our data catalog using Microsoft Purview, including classification, search, and integration with data sources.
•Catalog datasets as priortised collecting metadata such as source, type, format, size, quality, lineage, and tranformations etc.
•Implement data classification for datasets based on sensitivity, confidentiality, and regulatory requirements.
•Configure the tool to support easy search and discovery of datasets and metadata.
•Advise on the management of data lifecycle for our systems including data retention
Analyse & Report:
•Analyse datasets for data quality to identify inconsistencies, errors, and data quality issues.
•Perform data profiling activities to increase knowledge on quality of critical datasets.
•Develop and implement data quality standards, processes, and procedures.
•Arrange development of data quality reporting to be available to Data Owners / Stewards for critical datasets.
•Monitor and report on data quality metrics and trends.
Engage:
•Collaborate with various teams to understand data requirements and ensure data quality goals are met.
•Identify opportunities for process improvements and automation to enhance data quality, and engage colleagues to drive these initiatives.
•Provide guidance and support to stakeholders on data quality best practices.
•Stay updated with industry trends and emerging technologies related to data quality.
Qualifications and/or Experience
•Proven experience working as a Data Quality Analyst in a large enterprise.
•Desirable: Degree in Computer Science, Information Management or related field.
•Experience with use of Microsoft Purview, and use of Data Cataloging tools.
•Familiarity with data quality tools and technologies.
•Strong knowledge of data quality principles, practices, and methodologies.
•Proficient in SQL and data manipulation languages.
•Experience with data profiling and data cleansing techniques.
•Understanding of data governance principles and frameworks.
•Prior experience working in Agile teams.
•Knowledge of relevant data protection regulations and compliance requirements, such as GDPR.
Individual competencies
•Analytical Thinking: Proficient in analysing complex data sets and identifying patterns, trends, and anomalies.
•Attention to Detail: Ability to identify and rectify data quality issues with precision and accuracy.
•Problem Solving: Capability to identify root causes of data quality issues and develop effective solutions.
•Collaboration: Aptitude to work effectively with cross-functional teams and stakeholders to achieve data quality goals.
•Continuous Learning: Willingness to stay updated with industry best practices and emerging technologies in data quality.
•Communication: Strong verbal and written communication skills to convey complex ideas and concepts to technical and non-technical audiences.
•Influence: Ability to influence others to adju...
....Read more...
Type: Permanent Location: Little Rock, US-AR
Salary / Rate: Not Specified
Posted: 2026-02-28 07:50:59
-
Catalog:
•Setup and manage our data catalog using Microsoft Purview, including classification, search, and integration with data sources.
•Catalog datasets as priortised collecting metadata such as source, type, format, size, quality, lineage, and tranformations etc.
•Implement data classification for datasets based on sensitivity, confidentiality, and regulatory requirements.
•Configure the tool to support easy search and discovery of datasets and metadata.
•Advise on the management of data lifecycle for our systems including data retention
Analyse & Report:
•Analyse datasets for data quality to identify inconsistencies, errors, and data quality issues.
•Perform data profiling activities to increase knowledge on quality of critical datasets.
•Develop and implement data quality standards, processes, and procedures.
•Arrange development of data quality reporting to be available to Data Owners / Stewards for critical datasets.
•Monitor and report on data quality metrics and trends.
Engage:
•Collaborate with various teams to understand data requirements and ensure data quality goals are met.
•Identify opportunities for process improvements and automation to enhance data quality, and engage colleagues to drive these initiatives.
•Provide guidance and support to stakeholders on data quality best practices.
•Stay updated with industry trends and emerging technologies related to data quality.
Qualifications and/or Experience
•Proven experience working as a Data Quality Analyst in a large enterprise.
•Desirable: Degree in Computer Science, Information Management or related field.
•Experience with use of Microsoft Purview, and use of Data Cataloging tools.
•Familiarity with data quality tools and technologies.
•Strong knowledge of data quality principles, practices, and methodologies.
•Proficient in SQL and data manipulation languages.
•Experience with data profiling and data cleansing techniques.
•Understanding of data governance principles and frameworks.
•Prior experience working in Agile teams.
•Knowledge of relevant data protection regulations and compliance requirements, such as GDPR.
Individual competencies
•Analytical Thinking: Proficient in analysing complex data sets and identifying patterns, trends, and anomalies.
•Attention to Detail: Ability to identify and rectify data quality issues with precision and accuracy.
•Problem Solving: Capability to identify root causes of data quality issues and develop effective solutions.
•Collaboration: Aptitude to work effectively with cross-functional teams and stakeholders to achieve data quality goals.
•Continuous Learning: Willingness to stay updated with industry best practices and emerging technologies in data quality.
•Communication: Strong verbal and written communication skills to convey complex ideas and concepts to technical and non-technical audiences.
•Influence: Ability to influence others to adju...
....Read more...
Type: Permanent Location: Fort Smith, US-AR
Salary / Rate: Not Specified
Posted: 2026-02-28 07:50:58
-
Catalog:
•Setup and manage our data catalog using Microsoft Purview, including classification, search, and integration with data sources.
•Catalog datasets as priortised collecting metadata such as source, type, format, size, quality, lineage, and tranformations etc.
•Implement data classification for datasets based on sensitivity, confidentiality, and regulatory requirements.
•Configure the tool to support easy search and discovery of datasets and metadata.
•Advise on the management of data lifecycle for our systems including data retention
Analyse & Report:
•Analyse datasets for data quality to identify inconsistencies, errors, and data quality issues.
•Perform data profiling activities to increase knowledge on quality of critical datasets.
•Develop and implement data quality standards, processes, and procedures.
•Arrange development of data quality reporting to be available to Data Owners / Stewards for critical datasets.
•Monitor and report on data quality metrics and trends.
Engage:
•Collaborate with various teams to understand data requirements and ensure data quality goals are met.
•Identify opportunities for process improvements and automation to enhance data quality, and engage colleagues to drive these initiatives.
•Provide guidance and support to stakeholders on data quality best practices.
•Stay updated with industry trends and emerging technologies related to data quality.
Qualifications and/or Experience
•Proven experience working as a Data Quality Analyst in a large enterprise.
•Desirable: Degree in Computer Science, Information Management or related field.
•Experience with use of Microsoft Purview, and use of Data Cataloging tools.
•Familiarity with data quality tools and technologies.
•Strong knowledge of data quality principles, practices, and methodologies.
•Proficient in SQL and data manipulation languages.
•Experience with data profiling and data cleansing techniques.
•Understanding of data governance principles and frameworks.
•Prior experience working in Agile teams.
•Knowledge of relevant data protection regulations and compliance requirements, such as GDPR.
Individual competencies
•Analytical Thinking: Proficient in analysing complex data sets and identifying patterns, trends, and anomalies.
•Attention to Detail: Ability to identify and rectify data quality issues with precision and accuracy.
•Problem Solving: Capability to identify root causes of data quality issues and develop effective solutions.
•Collaboration: Aptitude to work effectively with cross-functional teams and stakeholders to achieve data quality goals.
•Continuous Learning: Willingness to stay updated with industry best practices and emerging technologies in data quality.
•Communication: Strong verbal and written communication skills to convey complex ideas and concepts to technical and non-technical audiences.
•Influence: Ability to influence others to adju...
....Read more...
Type: Permanent Location: Los Angeles, US-CA
Salary / Rate: Not Specified
Posted: 2026-02-28 07:50:58
-
Catalog:
•Setup and manage our data catalog using Microsoft Purview, including classification, search, and integration with data sources.
•Catalog datasets as priortised collecting metadata such as source, type, format, size, quality, lineage, and tranformations etc.
•Implement data classification for datasets based on sensitivity, confidentiality, and regulatory requirements.
•Configure the tool to support easy search and discovery of datasets and metadata.
•Advise on the management of data lifecycle for our systems including data retention
Analyse & Report:
•Analyse datasets for data quality to identify inconsistencies, errors, and data quality issues.
•Perform data profiling activities to increase knowledge on quality of critical datasets.
•Develop and implement data quality standards, processes, and procedures.
•Arrange development of data quality reporting to be available to Data Owners / Stewards for critical datasets.
•Monitor and report on data quality metrics and trends.
Engage:
•Collaborate with various teams to understand data requirements and ensure data quality goals are met.
•Identify opportunities for process improvements and automation to enhance data quality, and engage colleagues to drive these initiatives.
•Provide guidance and support to stakeholders on data quality best practices.
•Stay updated with industry trends and emerging technologies related to data quality.
Qualifications and/or Experience
•Proven experience working as a Data Quality Analyst in a large enterprise.
•Desirable: Degree in Computer Science, Information Management or related field.
•Experience with use of Microsoft Purview, and use of Data Cataloging tools.
•Familiarity with data quality tools and technologies.
•Strong knowledge of data quality principles, practices, and methodologies.
•Proficient in SQL and data manipulation languages.
•Experience with data profiling and data cleansing techniques.
•Understanding of data governance principles and frameworks.
•Prior experience working in Agile teams.
•Knowledge of relevant data protection regulations and compliance requirements, such as GDPR.
Individual competencies
•Analytical Thinking: Proficient in analysing complex data sets and identifying patterns, trends, and anomalies.
•Attention to Detail: Ability to identify and rectify data quality issues with precision and accuracy.
•Problem Solving: Capability to identify root causes of data quality issues and develop effective solutions.
•Collaboration: Aptitude to work effectively with cross-functional teams and stakeholders to achieve data quality goals.
•Continuous Learning: Willingness to stay updated with industry best practices and emerging technologies in data quality.
•Communication: Strong verbal and written communication skills to convey complex ideas and concepts to technical and non-technical audiences.
•Influence: Ability to influence others to adju...
....Read more...
Type: Permanent Location: Tucson, US-AZ
Salary / Rate: Not Specified
Posted: 2026-02-28 07:50:57
-
Catalog:
•Setup and manage our data catalog using Microsoft Purview, including classification, search, and integration with data sources.
•Catalog datasets as priortised collecting metadata such as source, type, format, size, quality, lineage, and tranformations etc.
•Implement data classification for datasets based on sensitivity, confidentiality, and regulatory requirements.
•Configure the tool to support easy search and discovery of datasets and metadata.
•Advise on the management of data lifecycle for our systems including data retention
Analyse & Report:
•Analyse datasets for data quality to identify inconsistencies, errors, and data quality issues.
•Perform data profiling activities to increase knowledge on quality of critical datasets.
•Develop and implement data quality standards, processes, and procedures.
•Arrange development of data quality reporting to be available to Data Owners / Stewards for critical datasets.
•Monitor and report on data quality metrics and trends.
Engage:
•Collaborate with various teams to understand data requirements and ensure data quality goals are met.
•Identify opportunities for process improvements and automation to enhance data quality, and engage colleagues to drive these initiatives.
•Provide guidance and support to stakeholders on data quality best practices.
•Stay updated with industry trends and emerging technologies related to data quality.
Qualifications and/or Experience
•Proven experience working as a Data Quality Analyst in a large enterprise.
•Desirable: Degree in Computer Science, Information Management or related field.
•Experience with use of Microsoft Purview, and use of Data Cataloging tools.
•Familiarity with data quality tools and technologies.
•Strong knowledge of data quality principles, practices, and methodologies.
•Proficient in SQL and data manipulation languages.
•Experience with data profiling and data cleansing techniques.
•Understanding of data governance principles and frameworks.
•Prior experience working in Agile teams.
•Knowledge of relevant data protection regulations and compliance requirements, such as GDPR.
Individual competencies
•Analytical Thinking: Proficient in analysing complex data sets and identifying patterns, trends, and anomalies.
•Attention to Detail: Ability to identify and rectify data quality issues with precision and accuracy.
•Problem Solving: Capability to identify root causes of data quality issues and develop effective solutions.
•Collaboration: Aptitude to work effectively with cross-functional teams and stakeholders to achieve data quality goals.
•Continuous Learning: Willingness to stay updated with industry best practices and emerging technologies in data quality.
•Communication: Strong verbal and written communication skills to convey complex ideas and concepts to technical and non-technical audiences.
•Influence: Ability to influence others to adju...
....Read more...
Type: Permanent Location: Phoenix, US-AZ
Salary / Rate: Not Specified
Posted: 2026-02-28 07:50:57
-
Catalog:
•Setup and manage our data catalog using Microsoft Purview, including classification, search, and integration with data sources.
•Catalog datasets as priortised collecting metadata such as source, type, format, size, quality, lineage, and tranformations etc.
•Implement data classification for datasets based on sensitivity, confidentiality, and regulatory requirements.
•Configure the tool to support easy search and discovery of datasets and metadata.
•Advise on the management of data lifecycle for our systems including data retention
Analyse & Report:
•Analyse datasets for data quality to identify inconsistencies, errors, and data quality issues.
•Perform data profiling activities to increase knowledge on quality of critical datasets.
•Develop and implement data quality standards, processes, and procedures.
•Arrange development of data quality reporting to be available to Data Owners / Stewards for critical datasets.
•Monitor and report on data quality metrics and trends.
Engage:
•Collaborate with various teams to understand data requirements and ensure data quality goals are met.
•Identify opportunities for process improvements and automation to enhance data quality, and engage colleagues to drive these initiatives.
•Provide guidance and support to stakeholders on data quality best practices.
•Stay updated with industry trends and emerging technologies related to data quality.
Qualifications and/or Experience
•Proven experience working as a Data Quality Analyst in a large enterprise.
•Desirable: Degree in Computer Science, Information Management or related field.
•Experience with use of Microsoft Purview, and use of Data Cataloging tools.
•Familiarity with data quality tools and technologies.
•Strong knowledge of data quality principles, practices, and methodologies.
•Proficient in SQL and data manipulation languages.
•Experience with data profiling and data cleansing techniques.
•Understanding of data governance principles and frameworks.
•Prior experience working in Agile teams.
•Knowledge of relevant data protection regulations and compliance requirements, such as GDPR.
Individual competencies
•Analytical Thinking: Proficient in analysing complex data sets and identifying patterns, trends, and anomalies.
•Attention to Detail: Ability to identify and rectify data quality issues with precision and accuracy.
•Problem Solving: Capability to identify root causes of data quality issues and develop effective solutions.
•Collaboration: Aptitude to work effectively with cross-functional teams and stakeholders to achieve data quality goals.
•Continuous Learning: Willingness to stay updated with industry best practices and emerging technologies in data quality.
•Communication: Strong verbal and written communication skills to convey complex ideas and concepts to technical and non-technical audiences.
•Influence: Ability to influence others to adju...
....Read more...
Type: Permanent Location: San Diego, US-CA
Salary / Rate: Not Specified
Posted: 2026-02-28 07:50:56
-
Essential Duties and Responsibilities:
- Provides advanced clinical inquiry responses (verbal and written) to health-related inquiries from consumers, educators or medical/health professionals.
- Provides medical subject matter expertise.
- Performs advanced database searches.
- Composes documents, reports, and correspondence.
- Documents all incoming inquiries.
- Participates in special projects as required.
- Provide advanced clinical inquiry responses (verbal and written) to health related inquiries from consumers, educators and medical/health professionals including State and local health departments and other government offices.
- Provide subject matter expertise on CDC topics covered by CDC-INFO which includes HIV/AIDS, Immunizations, Environmental Health, NIOSH; Tuberculosis and Statistics, to name a few.
- Respond to inquiries resulting from current events, such as food outbreaks, natural disasters and other events.
- Perform advanced database searches.
- Perform assigned work in accordance with quality assurance measures.
- Respond to medical personnel and clinicians in both verbal and written formats
Minimum Requirements
- High School diploma or equivalent with 2-4 years of experience.
- May have additional training or education in area of specialization.
- Must be fluent in English and specified secondary language.
- Bachelor's Degree in Nursing and current RN license is required.
- English or Bilingual (English/Spanish).
- Experience in medical, scientific and public health discipline.
- Clinical knowledge of and experienced in CDC related topics.
- Proficient internet search skills.
- Working knowledge of Microsoft Office and ability to learn and utilize software applications.
- Excellent listening, comprehension, communications (verbal and written), problem solving and customer service skills.
- Ability to work independently and communicate effectively.
- Must have demonstrated excellent interpersonal and leadership skills and the ability to organize simultaneous tasks.
- Ability to speak and read English and Spanish clearly, professionally, and fluently.
- Ability to commit to a two-week training schedule of 8:00am - 4:30pm EST Monday - Friday required.
- Must be willing and able to work a schedule of 8:00am - 4:30pm EST and/or 11:30am - 8:00pm EST Monday - Friday.
- Must be available to work the occasional weekend or holiday depending on business needs.
Please Note: This position requires a personal computer or laptop (Chromebooks, tablets, and notebooks are not allowed) with one of the following operating systems: Windows: 10 or 11 or Mac: Big Sur (11.0.1+), Catalina (10.15), or Monterey (12.3).
Home Office Requirements:
- Internet speed of 25mbps or higher required / 50 Mpbs for shared internet connectivity (you can test this by going to www.speedtest.net)
- Minimum 5mpbs upload speed
- Connectivity to the internet via Category 5 or 6 ethernet patch cable to the home router
- Personal computer ...
....Read more...
Type: Permanent Location: Eau Claire, US-WI
Salary / Rate: Not Specified
Posted: 2026-02-28 07:50:55
-
Essential Duties and Responsibilities:
- Provides advanced clinical inquiry responses (verbal and written) to health-related inquiries from consumers, educators or medical/health professionals.
- Provides medical subject matter expertise.
- Performs advanced database searches.
- Composes documents, reports, and correspondence.
- Documents all incoming inquiries.
- Participates in special projects as required.
- Provide advanced clinical inquiry responses (verbal and written) to health related inquiries from consumers, educators and medical/health professionals including State and local health departments and other government offices.
- Provide subject matter expertise on CDC topics covered by CDC-INFO which includes HIV/AIDS, Immunizations, Environmental Health, NIOSH; Tuberculosis and Statistics, to name a few.
- Respond to inquiries resulting from current events, such as food outbreaks, natural disasters and other events.
- Perform advanced database searches.
- Perform assigned work in accordance with quality assurance measures.
- Respond to medical personnel and clinicians in both verbal and written formats
Minimum Requirements
- High School diploma or equivalent with 2-4 years of experience.
- May have additional training or education in area of specialization.
- Must be fluent in English and specified secondary language.
- Bachelor's Degree in Nursing and current RN license is required.
- English or Bilingual (English/Spanish).
- Experience in medical, scientific and public health discipline.
- Clinical knowledge of and experienced in CDC related topics.
- Proficient internet search skills.
- Working knowledge of Microsoft Office and ability to learn and utilize software applications.
- Excellent listening, comprehension, communications (verbal and written), problem solving and customer service skills.
- Ability to work independently and communicate effectively.
- Must have demonstrated excellent interpersonal and leadership skills and the ability to organize simultaneous tasks.
- Ability to speak and read English and Spanish clearly, professionally, and fluently.
- Ability to commit to a two-week training schedule of 8:00am - 4:30pm EST Monday - Friday required.
- Must be willing and able to work a schedule of 8:00am - 4:30pm EST and/or 11:30am - 8:00pm EST Monday - Friday.
- Must be available to work the occasional weekend or holiday depending on business needs.
Please Note: This position requires a personal computer or laptop (Chromebooks, tablets, and notebooks are not allowed) with one of the following operating systems: Windows: 10 or 11 or Mac: Big Sur (11.0.1+), Catalina (10.15), or Monterey (12.3).
Home Office Requirements:
- Internet speed of 25mbps or higher required / 50 Mpbs for shared internet connectivity (you can test this by going to www.speedtest.net)
- Minimum 5mpbs upload speed
- Connectivity to the internet via Category 5 or 6 ethernet patch cable to the home router
- Personal computer ...
....Read more...
Type: Permanent Location: Rock Springs, US-WY
Salary / Rate: Not Specified
Posted: 2026-02-28 07:50:55
-
Essential Duties and Responsibilities:
- Provides advanced clinical inquiry responses (verbal and written) to health-related inquiries from consumers, educators or medical/health professionals.
- Provides medical subject matter expertise.
- Performs advanced database searches.
- Composes documents, reports, and correspondence.
- Documents all incoming inquiries.
- Participates in special projects as required.
- Provide advanced clinical inquiry responses (verbal and written) to health related inquiries from consumers, educators and medical/health professionals including State and local health departments and other government offices.
- Provide subject matter expertise on CDC topics covered by CDC-INFO which includes HIV/AIDS, Immunizations, Environmental Health, NIOSH; Tuberculosis and Statistics, to name a few.
- Respond to inquiries resulting from current events, such as food outbreaks, natural disasters and other events.
- Perform advanced database searches.
- Perform assigned work in accordance with quality assurance measures.
- Respond to medical personnel and clinicians in both verbal and written formats
Minimum Requirements
- High School diploma or equivalent with 2-4 years of experience.
- May have additional training or education in area of specialization.
- Must be fluent in English and specified secondary language.
- Bachelor's Degree in Nursing and current RN license is required.
- English or Bilingual (English/Spanish).
- Experience in medical, scientific and public health discipline.
- Clinical knowledge of and experienced in CDC related topics.
- Proficient internet search skills.
- Working knowledge of Microsoft Office and ability to learn and utilize software applications.
- Excellent listening, comprehension, communications (verbal and written), problem solving and customer service skills.
- Ability to work independently and communicate effectively.
- Must have demonstrated excellent interpersonal and leadership skills and the ability to organize simultaneous tasks.
- Ability to speak and read English and Spanish clearly, professionally, and fluently.
- Ability to commit to a two-week training schedule of 8:00am - 4:30pm EST Monday - Friday required.
- Must be willing and able to work a schedule of 8:00am - 4:30pm EST and/or 11:30am - 8:00pm EST Monday - Friday.
- Must be available to work the occasional weekend or holiday depending on business needs.
Please Note: This position requires a personal computer or laptop (Chromebooks, tablets, and notebooks are not allowed) with one of the following operating systems: Windows: 10 or 11 or Mac: Big Sur (11.0.1+), Catalina (10.15), or Monterey (12.3).
Home Office Requirements:
- Internet speed of 25mbps or higher required / 50 Mpbs for shared internet connectivity (you can test this by going to www.speedtest.net)
- Minimum 5mpbs upload speed
- Connectivity to the internet via Category 5 or 6 ethernet patch cable to the home router
- Personal computer ...
....Read more...
Type: Permanent Location: Cheyenne, US-WY
Salary / Rate: Not Specified
Posted: 2026-02-28 07:50:54
-
Catalog:
•Setup and manage our data catalog using Microsoft Purview, including classification, search, and integration with data sources.
•Catalog datasets as priortised collecting metadata such as source, type, format, size, quality, lineage, and tranformations etc.
•Implement data classification for datasets based on sensitivity, confidentiality, and regulatory requirements.
•Configure the tool to support easy search and discovery of datasets and metadata.
•Advise on the management of data lifecycle for our systems including data retention
Analyse & Report:
•Analyse datasets for data quality to identify inconsistencies, errors, and data quality issues.
•Perform data profiling activities to increase knowledge on quality of critical datasets.
•Develop and implement data quality standards, processes, and procedures.
•Arrange development of data quality reporting to be available to Data Owners / Stewards for critical datasets.
•Monitor and report on data quality metrics and trends.
Engage:
•Collaborate with various teams to understand data requirements and ensure data quality goals are met.
•Identify opportunities for process improvements and automation to enhance data quality, and engage colleagues to drive these initiatives.
•Provide guidance and support to stakeholders on data quality best practices.
•Stay updated with industry trends and emerging technologies related to data quality.
Qualifications and/or Experience
•Proven experience working as a Data Quality Analyst in a large enterprise.
•Desirable: Degree in Computer Science, Information Management or related field.
•Experience with use of Microsoft Purview, and use of Data Cataloging tools.
•Familiarity with data quality tools and technologies.
•Strong knowledge of data quality principles, practices, and methodologies.
•Proficient in SQL and data manipulation languages.
•Experience with data profiling and data cleansing techniques.
•Understanding of data governance principles and frameworks.
•Prior experience working in Agile teams.
•Knowledge of relevant data protection regulations and compliance requirements, such as GDPR.
Individual competencies
•Analytical Thinking: Proficient in analysing complex data sets and identifying patterns, trends, and anomalies.
•Attention to Detail: Ability to identify and rectify data quality issues with precision and accuracy.
•Problem Solving: Capability to identify root causes of data quality issues and develop effective solutions.
•Collaboration: Aptitude to work effectively with cross-functional teams and stakeholders to achieve data quality goals.
•Continuous Learning: Willingness to stay updated with industry best practices and emerging technologies in data quality.
•Communication: Strong verbal and written communication skills to convey complex ideas and concepts to technical and non-technical audiences.
•Influence: Ability to influence others to adju...
....Read more...
Type: Permanent Location: Birmingham, US-AL
Salary / Rate: Not Specified
Posted: 2026-02-28 07:50:53
