92 Data Quality jobs in the United Kingdom
Senior Data Management Professional - Data Quality - Data AI
Posted 4 days ago
Job Viewed
Job Description
Location
London
Business Area
Data
Ref #
10044397
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.
**Our Team:**
Data AI contributes to the building of Bloomberg's AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. We encourage our internal processes to take advantage of new AI technologies and strengthen Data's role in providing robust domain expertise and influential data artifacts to Bloomberg's products. This way, our clients will continue to have high quality data and access to new types of datasets.
**What's the Role?**
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
**We'll trust you to:**
+ Create strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose.
+ Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project manager.
+ Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
+ Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
+ Review and further enhance annotation guidelines, and promote the development of standard processes in data annotation.
+ Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
+ Lead on problem-solving to resolve complex annotation challenges and ensure data quality.
+ Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
+ Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
**You** **'ll need to have:**
*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
+ A bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
+ A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data modeling.
+ Experience using data visualization tools such as Tableau or Qlik Sense.
+ Past project/experience analyzing financial datasets or proven past experience working on financial market concepts.
+ Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL.
+ Extensive experience in communicating results in a clear, concise manner using data visualization tools.
+ Demonstrated ability taking a logical approach and applying critical thinking skills in order to solve problems.
**We'd Love to See:**
+ Keen interest and familiarity with generative AI frameworks.
+ Formal knowledge of data governance and data management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.)
+ Keen interest and familiarity with generative AI frameworks.
+ Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
+ Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know next steps!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Data Quality & Management Engineer (Test Data)
Posted 11 days ago
Job Viewed
Job Description
Our OEM Client based in Whitley, Coventry, is searching for a Data Quality & Management Engineer (Test Data) to join their team, Inside IR35. This is a contract position until 31st March 2026.
Umbrella Pay Rate: £28.06 per hour.
Be a part of the team testing the next generation of electrified propulsion systems for our client’s products. We are at the forefront of development in hybrid and full electric powertrains, aiming to deliver electrifying performance and peerless refinement.
We are looking for individuals who are excited about our data management and validation and can bring their passion and experience to our growing team. This role will work across Electric machine, Electric Drive Unit (EDU), Inverter, Cell, Battery, Power in loop (PiL) and Vehicle in Loop (ViL) test beds covering. The person in data validation and management role will be responsible to provide timely, accurate, secured and accessible test data for wider engineering group to enable efficient engineering decisions.
- Data Sources and Data Acquisition.
- Data Quality validation.
- Data piping.
- Data storage.
- Data visualisation.
To ensure we can develop world class propulsions systems, we need world class test and data management and validation. The specialist role looks to enable this seeking a person with knowledge of different testing environments data management and validation. The role will require you to work cross functionally to deploy a common approach to data piping, data validation tools as well to build a federated data platform.
You will be the working towards to become the Subject Matter Expert for data management and validation and deliver a training package to develop others in order to improve the data quality produced by the team.
Key Performance Indicators:
Programme:
- Full data availability.
- Data accuracy confidence.
- Data availability time.
Quality Performance:
- Right First Time (RFT).
- Data Quality Target.
- Metrics availability.
Delivery Performance:
- Utilisation and Test Delivery Hours.
- Schedule Performance Index.
- DV Delivery Burndown.
Key Accountabilities and Responsibilities:
- Be responsible in data sources and data acquisition, data quality validation, data pipeline, data storage and data visualisation for physical test environment.
- Delivering data quality reviews in order to support programme targets and prove out chosen technologies.
- Develop calculations, parameterisation, regulations and process of in-house data tool development.
- Be responsible for confirming the facility is performing in repeatable and reproducible measurements compliant to regulations.
- Carry out correlation exercises between test facilities and test beds across test operation.
- Ensure continuous improvement of measurement quality by reviewing the measurement equipment, systems and methods used by providing data.
- Perform calculation and evaluation of test results, particularly of results from internal correlation measurements, and initiate corrective measures as required.
- Cooperate in projects for improving test bed consistency and repeatability (together with experts from internal departments and the Instrumentation & Test Systems business unit).
- Working closely with the subject matter expert for Data Quality ensuring that the team KPI’s for Data Quality are met.
- Recommend and justify process and other improvements to enable improved quality of data.
- Research, communicate and implement best practice data quality methods and improve test field efficiency.
- Investigate best ways of working to make full use of equipment capability in order to improve data quality.
- To continually encourage a growth mind-set across the team.
- Coaching and facilitating in best technical practice, knowledge, methods in data validation and management for apprentice, new starter and existing team member development.
- Undertake any other work as directed by their line manager in connection with their job as may be requested.
Key Interactions:
- Engineering Operation (EO10) Manager and Lead Engineers.
- Strategic Suppliers and External Facility Providers.
- Technical Specialists and our client’s data enterprise team.
- EO10 test engineers and automation engineers.
- Team members reporting to the successful candidate.
- Degree apprentice students.
Essential Skills Required:
- Educated to degree level in a natural science, mathematical or engineering or computing discipline.
- Designing applications in different programming languages (preferable Python).
- Build data systems & pipelines, data validation and management in cloud platforms (AWS, Google Cloud).
- Data analysis skills, including hypothesis testing, uncertainty analysis, and process variation.
- Ability to work closely with engineering stakeholders influence analysis techniques to inform engineering decisions.
- Develop Key Performance Indicator (KPI) and ability to graphical data presentation.
- Technical / theoretical understanding of physical measurement equipment.
- Ability to deliver written reports and technical presentations.
Desirable Skills Required:
- Academic thesis or capstone project in formal field of study.
- Six Sigma Green Belt.
- Technical knowledge of process, calculation and measurement techniques demanded by both engineering and legislative requirements.
- Experience in measurement science.
- Quantitative understanding of equipment measurement sensitivity.
Essential Personal Profile:
- Ability to work on the delivery of complex tasks and provide suitable documentation and metrics for review.
- Able to work with others to ensure successful outcome of tasks.
- Desire to learn new techniques and understand new technologies.
- Able to provide workable solutions to real problems and to look for issues.
- A focus on balancing quality and time.
- Project reporting and presentation skills.
Desirable Personal Profile:
- Seeking responsibility.
- Methodical and patient approach to working even during times of high pressure.
- Driven and dynamic with a desire to make new working relationships.
- A good communicator both written and verbal.
Data Quality & Management Engineer (Test Data)
Posted today
Job Viewed
Job Description
Our OEM Client based in Whitley, Coventry, is searching for a Data Quality & Management Engineer (Test Data) to join their team, Inside IR35. This is a contract position until 31st March 2026.
Umbrella Pay Rate: £28.06 per hour.
Be a part of the team testing the next generation of electrified propulsion systems for our client’s products. We are at the forefront of development in hybrid and full electric powertrains, aiming to deliver electrifying performance and peerless refinement.
We are looking for individuals who are excited about our data management and validation and can bring their passion and experience to our growing team. This role will work across Electric machine, Electric Drive Unit (EDU), Inverter, Cell, Battery, Power in loop (PiL) and Vehicle in Loop (ViL) test beds covering. The person in data validation and management role will be responsible to provide timely, accurate, secured and accessible test data for wider engineering group to enable efficient engineering decisions.
- Data Sources and Data Acquisition.
- Data Quality validation.
- Data piping.
- Data storage.
- Data visualisation.
To ensure we can develop world class propulsions systems, we need world class test and data management and validation. The specialist role looks to enable this seeking a person with knowledge of different testing environments data management and validation. The role will require you to work cross functionally to deploy a common approach to data piping, data validation tools as well to build a federated data platform.
You will be the working towards to become the Subject Matter Expert for data management and validation and deliver a training package to develop others in order to improve the data quality produced by the team.
Key Performance Indicators:
Programme:
- Full data availability.
- Data accuracy confidence.
- Data availability time.
Quality Performance:
- Right First Time (RFT).
- Data Quality Target.
- Metrics availability.
Delivery Performance:
- Utilisation and Test Delivery Hours.
- Schedule Performance Index.
- DV Delivery Burndown.
Key Accountabilities and Responsibilities:
- Be responsible in data sources and data acquisition, data quality validation, data pipeline, data storage and data visualisation for physical test environment.
- Delivering data quality reviews in order to support programme targets and prove out chosen technologies.
- Develop calculations, parameterisation, regulations and process of in-house data tool development.
- Be responsible for confirming the facility is performing in repeatable and reproducible measurements compliant to regulations.
- Carry out correlation exercises between test facilities and test beds across test operation.
- Ensure continuous improvement of measurement quality by reviewing the measurement equipment, systems and methods used by providing data.
- Perform calculation and evaluation of test results, particularly of results from internal correlation measurements, and initiate corrective measures as required.
- Cooperate in projects for improving test bed consistency and repeatability (together with experts from internal departments and the Instrumentation & Test Systems business unit).
- Working closely with the subject matter expert for Data Quality ensuring that the team KPI’s for Data Quality are met.
- Recommend and justify process and other improvements to enable improved quality of data.
- Research, communicate and implement best practice data quality methods and improve test field efficiency.
- Investigate best ways of working to make full use of equipment capability in order to improve data quality.
- To continually encourage a growth mind-set across the team.
- Coaching and facilitating in best technical practice, knowledge, methods in data validation and management for apprentice, new starter and existing team member development.
- Undertake any other work as directed by their line manager in connection with their job as may be requested.
Key Interactions:
- Engineering Operation (EO10) Manager and Lead Engineers.
- Strategic Suppliers and External Facility Providers.
- Technical Specialists and our client’s data enterprise team.
- EO10 test engineers and automation engineers.
- Team members reporting to the successful candidate.
- Degree apprentice students.
Essential Skills Required:
- Educated to degree level in a natural science, mathematical or engineering or computing discipline.
- Designing applications in different programming languages (preferable Python).
- Build data systems & pipelines, data validation and management in cloud platforms (AWS, Google Cloud).
- Data analysis skills, including hypothesis testing, uncertainty analysis, and process variation.
- Ability to work closely with engineering stakeholders influence analysis techniques to inform engineering decisions.
- Develop Key Performance Indicator (KPI) and ability to graphical data presentation.
- Technical / theoretical understanding of physical measurement equipment.
- Ability to deliver written reports and technical presentations.
Desirable Skills Required:
- Academic thesis or capstone project in formal field of study.
- Six Sigma Green Belt.
- Technical knowledge of process, calculation and measurement techniques demanded by both engineering and legislative requirements.
- Experience in measurement science.
- Quantitative understanding of equipment measurement sensitivity.
Essential Personal Profile:
- Ability to work on the delivery of complex tasks and provide suitable documentation and metrics for review.
- Able to work with others to ensure successful outcome of tasks.
- Desire to learn new techniques and understand new technologies.
- Able to provide workable solutions to real problems and to look for issues.
- A focus on balancing quality and time.
- Project reporting and presentation skills.
Desirable Personal Profile:
- Seeking responsibility.
- Methodical and patient approach to working even during times of high pressure.
- Driven and dynamic with a desire to make new working relationships.
- A good communicator both written and verbal.
Data Quality & Management Engineer (Test Data)
Posted today
Job Viewed
Job Description
Our OEM Client based in Whitley, Coventry, is searching for a Data Quality & Management Engineer (Test Data) to join their team, Inside IR35. This is a contract position until 31st March 2026.
Umbrella Pay Rate: £28.06 per hour.
Be a part of the team testing the next generation of electrified propulsion systems for our client's products. We are at the forefront of development in hybrid and full ele.
WHJS1_UKTJ
Lead Engineer Data Quality & Management
Posted 11 days ago
Job Viewed
Job Description
ROLE PROFILE:
The Opportunity:
Be a part of the team testing the next generation of electrified propulsion systems.
We are at the forefront of development in hybrid and full electric powertrains, aiming to deliver electrifying performance and peerless refinement. We are looking for individuals who are excited about our data management and validation and can bring their passion and experience to our growing team. This role will work across Electric machine, Electric Drive Unit (EDU), Inverter, Cell, Battery, Power in loop (PiL) and Vehicle in Loop (ViL) test beds covering. The person in data validation and management role will be responsible to provide timely, accurate, secured and accessible test data for wider engineering group to enable efficient engineering decisions.
- Data Sources and Data Acquisition li>Data Quality validation
- Data piping
- Data storage li>Data visualisation
You will be working toward becoming the Subject Matter Expert for data management and validation and deliver a training package to develop others in order to improve the data quality produced by the team.
Key Accountabilities and Responsibilities:
- li>Be responsible in data sources and data acquisition, data quality validation, data pipeline, data storage and data visualisation for physical test environment.
- Delivering data quality reviews in order to support programme targets and prove out chosen technologies.
- Develop calculations, parameterisation, regulations and process of in-house data tool development.
- Be responsible for confirming the facility is performing in repeatable and reproducible measurements compliant to regulations.
- Carry out correlation exercises between test facilities and test beds across test operation.
- Ensure continuous improvement of measurement quality by reviewing the measurement equipment, systems and methods used by providing data.
- Perform calculation and evaluation of test results, particularly of results from internal correlation measurements, and initiate corrective measures as required.
- Cooperate in projects for improving test bed consistency and repeatability (together with experts from internal departments and the Instrumentation & Test Systems business unit).
- Working closely with the subject matter expert for Data Quality ensuring that the team KPI’s for Data Quality are met < i>Recommend and justify process and other improvements to enable improved quality of data
- Research, communicate and implement best practice data quality methods and improve test field efficiency.
- Investigate best ways of working to make full use of equipment capability in order to improve data quality
- To continually encourage a growth mind-set across the team
- Coaching and facilitating in best technical practice, knowledge, methods in data validation and management for apprentice, new starter and existing team member development. li>Undertake any other work as directed by their line manager in connection with their job as may be requested
Knowledge, Skills and Experience:
Essential:
- Educated to degree level in a natural science, mathematical or engineering or computing discipline.
- Designing applications in different programming languages (preferable Python)
- Build data systems & pipelines, data validation and management in cloud platforms (AWS, Google Cloud).
- Data analysis skills, including hypothesis testing, uncertainty analysis, and process variation. li>Ability to work closely with engineering stakeholders influence analysis techniques to inform engineering decisions.
- Develop Key Performance Indicator (KPI) and ability to graphical data presentation.
- Technical / theoretical understanding of physical measurement equipment
- Ability to deliver written reports and technical presentations.
If you are interested and have the skills and experience required Apply Now!
We will process your CV and personal information to assess your suitability for the role. If we wish to consider you further, we will register your personal information in our database and contact you. We may contact you from time to time about other relevant roles. Your personal information will be securely held. For more information, please refer to our privacy notice, a copy of which can be found on our website. – Select Engineering Limited.
Lead Engineer Data Quality & Management
Posted today
Job Viewed
Job Description
ROLE PROFILE:
The Opportunity:
Be a part of the team testing the next generation of electrified propulsion systems.
We are at the forefront of development in hybrid and full electric powertrains, aiming to deliver electrifying performance and peerless refinement. We are looking for individuals who are excited about our data management and validation and can bring their passion and experience to our growing team. This role will work across Electric machine, Electric Drive Unit (EDU), Inverter, Cell, Battery, Power in loop (PiL) and Vehicle in Loop (ViL) test beds covering. The person in data validation and management role will be responsible to provide timely, accurate, secured and accessible test data for wider engineering group to enable efficient engineering decisions.
- Data Sources and Data Acquisition li>Data Quality validation
- Data piping
- Data storage li>Data visualisation
You will be working toward becoming the Subject Matter Expert for data management and validation and deliver a training package to develop others in order to improve the data quality produced by the team.
Key Accountabilities and Responsibilities:
- li>Be responsible in data sources and data acquisition, data quality validation, data pipeline, data storage and data visualisation for physical test environment.
- Delivering data quality reviews in order to support programme targets and prove out chosen technologies.
- Develop calculations, parameterisation, regulations and process of in-house data tool development.
- Be responsible for confirming the facility is performing in repeatable and reproducible measurements compliant to regulations.
- Carry out correlation exercises between test facilities and test beds across test operation.
- Ensure continuous improvement of measurement quality by reviewing the measurement equipment, systems and methods used by providing data.
- Perform calculation and evaluation of test results, particularly of results from internal correlation measurements, and initiate corrective measures as required.
- Cooperate in projects for improving test bed consistency and repeatability (together with experts from internal departments and the Instrumentation & Test Systems business unit).
- Working closely with the subject matter expert for Data Quality ensuring that the team KPI’s for Data Quality are met < i>Recommend and justify process and other improvements to enable improved quality of data
- Research, communicate and implement best practice data quality methods and improve test field efficiency.
- Investigate best ways of working to make full use of equipment capability in order to improve data quality
- To continually encourage a growth mind-set across the team
- Coaching and facilitating in best technical practice, knowledge, methods in data validation and management for apprentice, new starter and existing team member development. li>Undertake any other work as directed by their line manager in connection with their job as may be requested
Knowledge, Skills and Experience:
Essential:
- Educated to degree level in a natural science, mathematical or engineering or computing discipline.
- Designing applications in different programming languages (preferable Python)
- Build data systems & pipelines, data validation and management in cloud platforms (AWS, Google Cloud).
- Data analysis skills, including hypothesis testing, uncertainty analysis, and process variation. li>Ability to work closely with engineering stakeholders influence analysis techniques to inform engineering decisions.
- Develop Key Performance Indicator (KPI) and ability to graphical data presentation.
- Technical / theoretical understanding of physical measurement equipment
- Ability to deliver written reports and technical presentations.
If you are interested and have the skills and experience required Apply Now!
We will process your CV and personal information to assess your suitability for the role. If we wish to consider you further, we will register your personal information in our database and contact you. We may contact you from time to time about other relevant roles. Your personal information will be securely held. For more information, please refer to our privacy notice, a copy of which can be found on our website. – Select Engineering Limited.
Data Quality Analyst
Posted 4 days ago
Job Viewed
Job Description
Data Quality Analyst
Looking to recruit a Data Quality Analyst with ideally experience in the Financial Services sector. You will be tasked with ensuring the accuracy, validity, consistency, completeness, timeliness, uniqueness of data across the business . You must have a strong background in collaboration as you will working across alongside department leads to ensure across the business on data quality issues and work with the business to identify and fix any data quality related issues.
Key Areas are to
- Strong experience of understanding in owning and managing data quality issues from inception to resolution addressing the root cause.
- Strong experience of understands data quality metrics and own the data quality dashboard including producing reports up to exec level.
- Knowledge of data governance and data quality framework
- Strong understanding and experience in Data Migration
- Experiencing of chairing a data quality working group or similar
- Work closely with IT and the business by undertaking the following: data profiling, cleansing and validation exercise
- Strong experience in developing dashboards, preferably using tools such as Tableau, Power BI , or similar
This is hybrid permanent role and you will be expected to go in the office 1 / 2 days a week.
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Data Quality Analyst
Posted 13 days ago
Job Viewed
Job Description
Data Quality Analyst
Permanent
Location: Home / Gloucester (on site once a week)
Salary: 30,000 - 36,000 (+ excellent benefits)
Skills: T-SQL, Data Quality, GDPR
We are looking to recruit a Data Quality Analyst for a leading public sector organisation undergoing a significant IT transformation.
In this role, you'll focus on data validation, profiling, and cleansing , helping ensure that information across core systems is accurate, complete, and reliable. You'll work across multiple teams to enhance how data is managed and reported, supporting the organisation's operational and strategic goals.
This is a hybrid role and you will be required to work on site in Gloucester once a week.
What you'll be doing:
- Investigating data inconsistencies and applying corrections to improve accuracy and completeness
- Writing T-SQL queries to interrogate and validate data
- Working closely with stakeholders to ensure data quality standards are met
- Contributing to root cause analysis and helping define long-term improvements
- Supporting quality assurance processes by maintaining documentation such as data dictionaries and audit trails
What we're looking for:
- Strong experience in data validation, cleansing, and profiling
- Confident in writing T-SQL queries for data analysis
- Awareness of GDPR, data protection, and information security
- Ability to communicate complex data issues clearly to technical and non-technical audiences
- A logical, analytical approach and attention to detail
- Experience with records management systems is desirable
Data Quality Analyst
Posted today
Job Viewed
Job Description
Data Quality Analyst
Permanent
Location: Home / Gloucester (on site once a week)
Salary: 30,000 - 36,000 (+ excellent benefits)
Skills: T-SQL, Data Quality, GDPR
We are looking to recruit a Data Quality Analyst for a leading public sector organisation undergoing a significant IT transformation.
In this role, you'll focus on data validation, profiling, and cleansing , helping ensure that information across core systems is accurate, complete, and reliable. You'll work across multiple teams to enhance how data is managed and reported, supporting the organisation's operational and strategic goals.
This is a hybrid role and you will be required to work on site in Gloucester once a week.
What you'll be doing:
- Investigating data inconsistencies and applying corrections to improve accuracy and completeness
- Writing T-SQL queries to interrogate and validate data
- Working closely with stakeholders to ensure data quality standards are met
- Contributing to root cause analysis and helping define long-term improvements
- Supporting quality assurance processes by maintaining documentation such as data dictionaries and audit trails
What we're looking for:
- Strong experience in data validation, cleansing, and profiling
- Confident in writing T-SQL queries for data analysis
- Awareness of GDPR, data protection, and information security
- Ability to communicate complex data issues clearly to technical and non-technical audiences
- A logical, analytical approach and attention to detail
- Experience with records management systems is desirable
Data Quality Analyst
Posted today
Job Viewed
Job Description
Data Quality Analyst
Looking to recruit a Data Quality Analyst with ideally experience in the Financial Services sector. You will be tasked with ensuring the accuracy, validity, consistency, completeness, timeliness, uniqueness of data across the business . You must have a strong background in collaboration as you will working across alongside department leads to ensure across the business on data quality issues and work with the business to identify and fix any data quality related issues.
Key Areas are to
- Strong experience of understanding in owning and managing data quality issues from inception to resolution addressing the root cause.
- Strong experience of understands data quality metrics and own the data quality dashboard including producing reports up to exec level.
- Knowledge of data governance and data quality framework
- Strong understanding and experience in Data Migration
- Experiencing of chairing a data quality working group or similar
- Work closely with IT and the business by undertaking the following: data profiling, cleansing and validation exercise
- Strong experience in developing dashboards, preferably using tools such as Tableau, Power BI , or similar
This is hybrid permanent role and you will be expected to go in the office 1 / 2 days a week.