-
Essential Duties and Responsibilities:
- Review and validate data and reports.
- Work assigned reports on a regular basis to identify necessary fixes or work-arounds.
- Make recommendations to improve processes.
- Ensure assignments are current and include proper documentation.
- Use various tracking tools to record assignments, processes and defects.
- Review, research and audit system results.
Minimum Requirements
- High School diploma, GED, or equivalent required.
- 2-4 years of relevant experience required.
- Minimum of 2 years of experience in a clinical and/or healthcare administrative setting
- Minimum of 2 years of customer service experience required
- Proficiency in Microsoft Office applications (Outlook, Word, Excel)
- Experience using Smartsheet
Preferred Requirements
- Minimum of 1 year of experience supporting customers in a call center or high-volume customer service environment
- Demonstrated experience meeting productivity and/or quality metrics (e.g., call volume, accuracy, turnaround time)
- Ability to navigate multiple systems simultaneously during customer interactions
- Prior experience making outbound customer service calls
Home Office Requirements
- Maximus provides company-issued computer equipment
- Reliable high-speed internet service
- Minimum 20 Mbps download speeds/50 Mbps for shared internet connectivity
- Minimum 5 Mbps upload speeds
- Private and secure workspace
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment.
Annual salary is just one component of Maximus's total compensation package.
Other rewards may include short- and long-term incentives as well as program-specific awards.
Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off.
Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience.
An applicant's salary history will not be used in determining compensation.
Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment.
If you require assistance at any stage of the employment process-including accessing jo...
....Read more...
Type: Permanent Location: Montgomery, US-AL
Salary / Rate: Not Specified
Posted: 2026-02-28 07:52:09
-
Essential Duties and Responsibilities:
- Review and validate data and reports.
- Work assigned reports on a regular basis to identify necessary fixes or work-arounds.
- Make recommendations to improve processes.
- Ensure assignments are current and include proper documentation.
- Use various tracking tools to record assignments, processes and defects.
- Review, research and audit system results.
Minimum Requirements
- High School diploma, GED, or equivalent required.
- 2-4 years of relevant experience required.
- Minimum of 2 years of experience in a clinical and/or healthcare administrative setting
- Minimum of 2 years of customer service experience required
- Proficiency in Microsoft Office applications (Outlook, Word, Excel)
- Experience using Smartsheet
Preferred Requirements
- Minimum of 1 year of experience supporting customers in a call center or high-volume customer service environment
- Demonstrated experience meeting productivity and/or quality metrics (e.g., call volume, accuracy, turnaround time)
- Ability to navigate multiple systems simultaneously during customer interactions
- Prior experience making outbound customer service calls
Home Office Requirements
- Maximus provides company-issued computer equipment
- Reliable high-speed internet service
- Minimum 20 Mbps download speeds/50 Mbps for shared internet connectivity
- Minimum 5 Mbps upload speeds
- Private and secure workspace
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment.
Annual salary is just one component of Maximus's total compensation package.
Other rewards may include short- and long-term incentives as well as program-specific awards.
Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off.
Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience.
An applicant's salary history will not be used in determining compensation.
Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment.
If you require assistance at any stage of the employment process-including accessing jo...
....Read more...
Type: Permanent Location: Tucson, US-AZ
Salary / Rate: Not Specified
Posted: 2026-02-28 07:52:08
-
Essential Duties and Responsibilities:
- Review and validate data and reports.
- Work assigned reports on a regular basis to identify necessary fixes or work-arounds.
- Make recommendations to improve processes.
- Ensure assignments are current and include proper documentation.
- Use various tracking tools to record assignments, processes and defects.
- Review, research and audit system results.
Minimum Requirements
- High School diploma, GED, or equivalent required.
- 2-4 years of relevant experience required.
- Minimum of 2 years of experience in a clinical and/or healthcare administrative setting
- Minimum of 2 years of customer service experience required
- Proficiency in Microsoft Office applications (Outlook, Word, Excel)
- Experience using Smartsheet
Preferred Requirements
- Minimum of 1 year of experience supporting customers in a call center or high-volume customer service environment
- Demonstrated experience meeting productivity and/or quality metrics (e.g., call volume, accuracy, turnaround time)
- Ability to navigate multiple systems simultaneously during customer interactions
- Prior experience making outbound customer service calls
Home Office Requirements
- Maximus provides company-issued computer equipment
- Reliable high-speed internet service
- Minimum 20 Mbps download speeds/50 Mbps for shared internet connectivity
- Minimum 5 Mbps upload speeds
- Private and secure workspace
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment.
Annual salary is just one component of Maximus's total compensation package.
Other rewards may include short- and long-term incentives as well as program-specific awards.
Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off.
Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience.
An applicant's salary history will not be used in determining compensation.
Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment.
If you require assistance at any stage of the employment process-including accessing jo...
....Read more...
Type: Permanent Location: Phoenix, US-AZ
Salary / Rate: Not Specified
Posted: 2026-02-28 07:52:08
-
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: Milwaukee, US-WI
Salary / Rate: Not Specified
Posted: 2026-02-28 07:52:07
-
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: Charleston, US-WV
Salary / Rate: Not Specified
Posted: 2026-02-28 07:52:06
-
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: Morgantown, US-WV
Salary / Rate: Not Specified
Posted: 2026-02-28 07:52:06
-
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: Eau Claire, US-WI
Salary / Rate: Not Specified
Posted: 2026-02-28 07:52:05
-
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: Cheyenne, US-WY
Salary / Rate: Not Specified
Posted: 2026-02-28 07:52:05
-
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: Rock Springs, US-WY
Salary / Rate: Not Specified
Posted: 2026-02-28 07:52:04
-
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: Roanoke, US-VA
Salary / Rate: Not Specified
Posted: 2026-02-28 07:52:03
-
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: Spokane, US-WA
Salary / Rate: Not Specified
Posted: 2026-02-28 07:52:03
-
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: Seattle, US-WA
Salary / Rate: Not Specified
Posted: 2026-02-28 07:52:02
-
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: Burlington, US-VT
Salary / Rate: Not Specified
Posted: 2026-02-28 07:52:01
-
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: St. George, US-UT
Salary / Rate: Not Specified
Posted: 2026-02-28 07:52:01
-
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: Tysons, US-VA
Salary / Rate: Not Specified
Posted: 2026-02-28 07:52:00
-
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: Richmond, US-VA
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:59
-
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: Bennington, US-VT
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:59
-
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: Salt Lake City, US-UT
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:58
-
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: San Antonio, US-TX
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:57
-
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: Lubbock, US-TX
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:57
-
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: Nashville, US-TN
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:56
-
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: Houston, US-TX
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:55
-
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: Memphis, US-TN
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:55
-
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: Dallas, US-TX
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:54
-
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: Sioux Falls, US-SD
Salary / Rate: Not Specified
Posted: 2026-02-28 07:51:53
