154 Informatica Mdm jobs in the United Kingdom
Senior Data Management Professional - Data Quality - Data AI
London, London
Bloomberg
Posted 17 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Quality - Data AI
Location
London
Business Area
Data
Ref #
**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 u2013 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 Bloombergu2019s 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 Datau2019s role in providing robust domain expertise and influential data artifacts to Bloombergu2019s 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.
**Weu2019ll 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** **u2019ll 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 bacheloru2019s 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.
**Weu2019d 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
Location
London
Business Area
Data
Ref #
**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 u2013 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 Bloombergu2019s 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 Datau2019s role in providing robust domain expertise and influential data artifacts to Bloombergu2019s 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.
**Weu2019ll 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** **u2019ll 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 bacheloru2019s 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.
**Weu2019d 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
This advertiser has chosen not to accept applicants from your region.
0
Senior Data Management Professional - Data Quality - Data AI
London, London
Bloomberg
Posted 17 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Quality - Data AI
Location
London
Business Area
Data
Ref #
**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 u2013 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 Bloombergu2019s 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 Datau2019s role in providing robust domain expertise and influential data artifacts to Bloombergu2019s 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.
**Weu2019ll 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** **u2019ll 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 bacheloru2019s 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.
**Weu2019d 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
Location
London
Business Area
Data
Ref #
**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 u2013 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 Bloombergu2019s 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 Datau2019s role in providing robust domain expertise and influential data artifacts to Bloombergu2019s 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.
**Weu2019ll 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** **u2019ll 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 bacheloru2019s 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.
**Weu2019d 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
This advertiser has chosen not to accept applicants from your region.
1
Senior Data Management Professional - Data Quality - Data AI
London, London
Bloomberg
Posted 17 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Quality - Data AI
Location
London
Business Area
Data
Ref #
**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
Location
London
Business Area
Data
Ref #
**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
This advertiser has chosen not to accept applicants from your region.
2
Data Quality Analyst
Low Fulney, East Midlands
Bakkavor Group
Posted 1 day ago
Job Viewed
Job Description
Data Quality Analyst
Proud to deliver high quality products and develop a high-quality career
Salary - £50,000 - £60,000
Benefits - Life Assurance (2.5 x salary), 25 days holiday plus 8 bank holidays as standard Private medical insurance
Location - Spalding
Hybrid Working
8:30am to 5:00pm - Monday to Friday (37.5 hours per week)
Contract Type - 12 month FTC
Why join us?
We're constantly evolving, progressing and diversifying. And we want our people to do so too. For everyone to feel empowered, engaged and enabled. To create opportunities to move forward, climb higher and push for more.
About the role
In this busy and exciting role, you will become a subject matter expert, working within the Data & Reporting team of Group IT. You will report to the Data and Reporting Solution Architect with responsibility for enhancing / maintaining the quality of data assets throughout their lifecycle, from acquisition to retirement, focusing on SAP for Finance (OTC, R2R & P2P).
As a technical specialist, you will be the primary advocate for data quality, offering expert guidance and direction in the areas relating to data governance and data quality management - this includes developing and implementing data quality frameworks, designing, and deploying data quality solutions and rules, and conducting testing and training activities.
You will be collaborating closely with key business stakeholders to understand their data quality requirements and objectives and translate them into actionable outputs, whilst maintaining a comprehensive understanding of data quality tools, techniques, and emerging technologies.
You will also have the opportunity to contribute to the strategic planning process by providing insights and recommendations for evolving data quality standards / practices and will work closely with IT Leads and Business Data Stewards / Owners to ensure alignment between data quality initiatives and the broader strategies of Application Transformation and Data and Reporting governance.
Join our tight knit team as we embark on an exciting and high-profile business transformation programme where each member's contribution is integral to Bakkavor's success. You'll have the opportunity to play a pivotal role in shaping how Bakkavor values its data and unlocks its full potential.
About you
Ideally, you will be educated to bachelor's degree level or hold a relevant professional or IT qualification - including relevant certifications associated with data management, data governance or data analysis.
Data Migration experience, particularly with ERPs including SAP S/4Hana, coupled with experience in data structures and functionalities with a preference towards the finance and supply chain transformation capabilities - will be key.
You will preferably have firsthand experience of using SAP Migration Cockpit for cleansing activities coupled with knowledge of working within initiatives aimed at centralising or governing historically federated data. Additional knowledge of working with Microsoft Azure technologies to achieve similar aims would be advantageous.
You'll enjoy:
Proud to be Bakkavor
We're proud to be the market leader in the UK fresh prepared food industry. We're proud to supply meals, salads, desserts, pizza and bread to leading grocery retailers including Tesco, M&S, Sainsbury's and Waitrose. We're driven by the hard work and passion of our people and are delighted to offer a wide range of careers across our business - come and join our dedicated Bakkavor team!
Find out more and apply.
#CVL
#LI-JM1
Proud to deliver high quality products and develop a high-quality career
Salary - £50,000 - £60,000
Benefits - Life Assurance (2.5 x salary), 25 days holiday plus 8 bank holidays as standard Private medical insurance
Location - Spalding
Hybrid Working
8:30am to 5:00pm - Monday to Friday (37.5 hours per week)
Contract Type - 12 month FTC
Why join us?
We're constantly evolving, progressing and diversifying. And we want our people to do so too. For everyone to feel empowered, engaged and enabled. To create opportunities to move forward, climb higher and push for more.
About the role
In this busy and exciting role, you will become a subject matter expert, working within the Data & Reporting team of Group IT. You will report to the Data and Reporting Solution Architect with responsibility for enhancing / maintaining the quality of data assets throughout their lifecycle, from acquisition to retirement, focusing on SAP for Finance (OTC, R2R & P2P).
As a technical specialist, you will be the primary advocate for data quality, offering expert guidance and direction in the areas relating to data governance and data quality management - this includes developing and implementing data quality frameworks, designing, and deploying data quality solutions and rules, and conducting testing and training activities.
You will be collaborating closely with key business stakeholders to understand their data quality requirements and objectives and translate them into actionable outputs, whilst maintaining a comprehensive understanding of data quality tools, techniques, and emerging technologies.
You will also have the opportunity to contribute to the strategic planning process by providing insights and recommendations for evolving data quality standards / practices and will work closely with IT Leads and Business Data Stewards / Owners to ensure alignment between data quality initiatives and the broader strategies of Application Transformation and Data and Reporting governance.
Join our tight knit team as we embark on an exciting and high-profile business transformation programme where each member's contribution is integral to Bakkavor's success. You'll have the opportunity to play a pivotal role in shaping how Bakkavor values its data and unlocks its full potential.
About you
Ideally, you will be educated to bachelor's degree level or hold a relevant professional or IT qualification - including relevant certifications associated with data management, data governance or data analysis.
Data Migration experience, particularly with ERPs including SAP S/4Hana, coupled with experience in data structures and functionalities with a preference towards the finance and supply chain transformation capabilities - will be key.
You will preferably have firsthand experience of using SAP Migration Cockpit for cleansing activities coupled with knowledge of working within initiatives aimed at centralising or governing historically federated data. Additional knowledge of working with Microsoft Azure technologies to achieve similar aims would be advantageous.
You'll enjoy:
- Life Assurance (2.5 x salary)
- Private medical insurance
- Annual Bonus Scheme
- 25 days holiday plus 8 bank holidays as standard (may vary by role)
- Staff Shop
- Stakeholder Pension Scheme
- Discount & cashback platform
- Personal Accident Insurance
- Free health check
- Employee Assistance Programme
- A range of voluntary benefits (holiday purchase scheme, additional life assurance, dental & hospital cash plans)
- Salary sacrifice car lease scheme
- Free independent mortgage advice
- Discounted tutoring for children
- Access to financial learning tools and affordable loans via your salary
- Free car parking - Site dependant
Proud to be Bakkavor
We're proud to be the market leader in the UK fresh prepared food industry. We're proud to supply meals, salads, desserts, pizza and bread to leading grocery retailers including Tesco, M&S, Sainsbury's and Waitrose. We're driven by the hard work and passion of our people and are delighted to offer a wide range of careers across our business - come and join our dedicated Bakkavor team!
Find out more and apply.
#CVL
#LI-JM1
This advertiser has chosen not to accept applicants from your region.
3
Data Quality Analyst
Theale, South East
Project People
Posted 6 days ago
Job Viewed
Job Description
Data Quality Analyst
Contract - 12 Month FTC
Theale/Home
Join a leading UK mobile infrastructure company driving innovation and transformation. Since 2012, we've evolved rapidly-now we're looking for a Data Quality Analyst to help us deliver excellence through smarter data.
The Data Quality Analyst will lead the development of data quality reports, automate data processes, and support business teams in improving data accuracy. Acting as a key member of the BI team, you'll help shape our data strategy and governance.
Key Responsibilities of the Data Quality Analyst include:
- Deliver daily reports and enhance data governance controls
- Enforce data policies across ingestion, quality, and lifecycle management
- Maintain dashboards and remediation plans for data quality
- Collaborate with stakeholders to meet strategic data goals
- Apply governance frameworks and ensure accountability
The successful Data Quality Analyst will have:
- Proficient in BI tools (e.g., Power BI)
- Familiar with Agile and Waterfall methodologies
- Experience with metadata management, data catalogues, and stewardship tools
- Understanding of Master Data Management principles
Desirable
- Proven success in data governance programs
- Operational and change management experience
Ready to help shape the future of mobile infrastructure through data excellence? Apply today to (url removed)
Project People is acting as an Employment Business in relation to this vacancy.
This advertiser has chosen not to accept applicants from your region.
4
Data Quality Analyst
Low Fulney, East Midlands
£50000 - £60000 Annually
Bakkavor Group
Posted 1 day ago
Job Viewed
Job Description
Data Quality Analyst
Proud to deliver high quality products and develop a high-quality career
Salary - £50,000 - £60,000
Benefits - Life Assurance (2.5 x salary), 25 days holiday plus 8 bank holidays as standard Private medical insurance
Location - Spalding
Hybrid Working
8:30am to 5:00pm - Monday to Friday (37.5 hours per week)
Contract Type - 12 month FTC
Why join us?
We're constantly evolving, progressing and diversifying. And we want our people to do so too. For everyone to feel empowered, engaged and enabled. To create opportunities to move forward, climb higher and push for more.
About the role
In this busy and exciting role, you will become a subject matter expert, working within the Data & Reporting team of Group IT. You will report to the Data and Reporting Solution Architect with responsibility for enhancing / maintaining the quality of data assets throughout their lifecycle, from acquisition to retirement, focusing on SAP for Finance (OTC, R2R & P2P).
As a technical specialist, you will be the primary advocate for data quality, offering expert guidance and direction in the areas relating to data governance and data quality management - this includes developing and implementing data quality frameworks, designing, and deploying data quality solutions and rules, and conducting testing and training activities.
You will be collaborating closely with key business stakeholders to understand their data quality requirements and objectives and translate them into actionable outputs, whilst maintaining a comprehensive understanding of data quality tools, techniques, and emerging technologies.
You will also have the opportunity to contribute to the strategic planning process by providing insights and recommendations for evolving data quality standards / practices and will work closely with IT Leads and Business Data Stewards / Owners to ensure alignment between data quality initiatives and the broader strategies of Application Transformation and Data and Reporting governance.
Join our tight knit team as we embark on an exciting and high-profile business transformation programme where each member's contribution is integral to Bakkavor's success. You'll have the opportunity to play a pivotal role in shaping how Bakkavor values its data and unlocks its full potential.
About you
Ideally, you will be educated to bachelor's degree level or hold a relevant professional or IT qualification - including relevant certifications associated with data management, data governance or data analysis.
Data Migration experience, particularly with ERPs including SAP S/4Hana, coupled with experience in data structures and functionalities with a preference towards the finance and supply chain transformation capabilities - will be key.
You will preferably have firsthand experience of using SAP Migration Cockpit for cleansing activities coupled with knowledge of working within initiatives aimed at centralising or governing historically federated data. Additional knowledge of working with Microsoft Azure technologies to achieve similar aims would be advantageous.
You'll enjoy:
Proud to be Bakkavor
We're proud to be the market leader in the UK fresh prepared food industry. We're proud to supply meals, salads, desserts, pizza and bread to leading grocery retailers including Tesco, M&S, Sainsbury's and Waitrose. We're driven by the hard work and passion of our people and are delighted to offer a wide range of careers across our business - come and join our dedicated Bakkavor team!
Find out more and apply.
#CVL
#LI-JM1
Proud to deliver high quality products and develop a high-quality career
Salary - £50,000 - £60,000
Benefits - Life Assurance (2.5 x salary), 25 days holiday plus 8 bank holidays as standard Private medical insurance
Location - Spalding
Hybrid Working
8:30am to 5:00pm - Monday to Friday (37.5 hours per week)
Contract Type - 12 month FTC
Why join us?
We're constantly evolving, progressing and diversifying. And we want our people to do so too. For everyone to feel empowered, engaged and enabled. To create opportunities to move forward, climb higher and push for more.
About the role
In this busy and exciting role, you will become a subject matter expert, working within the Data & Reporting team of Group IT. You will report to the Data and Reporting Solution Architect with responsibility for enhancing / maintaining the quality of data assets throughout their lifecycle, from acquisition to retirement, focusing on SAP for Finance (OTC, R2R & P2P).
As a technical specialist, you will be the primary advocate for data quality, offering expert guidance and direction in the areas relating to data governance and data quality management - this includes developing and implementing data quality frameworks, designing, and deploying data quality solutions and rules, and conducting testing and training activities.
You will be collaborating closely with key business stakeholders to understand their data quality requirements and objectives and translate them into actionable outputs, whilst maintaining a comprehensive understanding of data quality tools, techniques, and emerging technologies.
You will also have the opportunity to contribute to the strategic planning process by providing insights and recommendations for evolving data quality standards / practices and will work closely with IT Leads and Business Data Stewards / Owners to ensure alignment between data quality initiatives and the broader strategies of Application Transformation and Data and Reporting governance.
Join our tight knit team as we embark on an exciting and high-profile business transformation programme where each member's contribution is integral to Bakkavor's success. You'll have the opportunity to play a pivotal role in shaping how Bakkavor values its data and unlocks its full potential.
About you
Ideally, you will be educated to bachelor's degree level or hold a relevant professional or IT qualification - including relevant certifications associated with data management, data governance or data analysis.
Data Migration experience, particularly with ERPs including SAP S/4Hana, coupled with experience in data structures and functionalities with a preference towards the finance and supply chain transformation capabilities - will be key.
You will preferably have firsthand experience of using SAP Migration Cockpit for cleansing activities coupled with knowledge of working within initiatives aimed at centralising or governing historically federated data. Additional knowledge of working with Microsoft Azure technologies to achieve similar aims would be advantageous.
You'll enjoy:
- Life Assurance (2.5 x salary)
- Private medical insurance
- Annual Bonus Scheme
- 25 days holiday plus 8 bank holidays as standard (may vary by role)
- Staff Shop
- Stakeholder Pension Scheme
- Discount & cashback platform
- Personal Accident Insurance
- Free health check
- Employee Assistance Programme
- A range of voluntary benefits (holiday purchase scheme, additional life assurance, dental & hospital cash plans)
- Salary sacrifice car lease scheme
- Free independent mortgage advice
- Discounted tutoring for children
- Access to financial learning tools and affordable loans via your salary
- Free car parking - Site dependant
Proud to be Bakkavor
We're proud to be the market leader in the UK fresh prepared food industry. We're proud to supply meals, salads, desserts, pizza and bread to leading grocery retailers including Tesco, M&S, Sainsbury's and Waitrose. We're driven by the hard work and passion of our people and are delighted to offer a wide range of careers across our business - come and join our dedicated Bakkavor team!
Find out more and apply.
#CVL
#LI-JM1
This advertiser has chosen not to accept applicants from your region.
5
Data Quality Analyst
Berkshire, South East
Project People
Posted 6 days ago
Job Viewed
Job Description
Data Quality Analyst
Contract - 12 Month FTC
Theale/Home
Join a leading UK mobile infrastructure company driving innovation and transformation. Since 2012, we've evolved rapidly-now we're looking for a Data Quality Analyst to help us deliver excellence through smarter data.
The Data Quality Analyst will lead the development of data quality reports, automate data processes, and support business teams in improving data accuracy. Acting as a key member of the BI team, you'll help shape our data strategy and governance.
Key Responsibilities of the Data Quality Analyst include:
- Deliver daily reports and enhance data governance controls
- Enforce data policies across ingestion, quality, and lifecycle management
- Maintain dashboards and remediation plans for data quality
- Collaborate with stakeholders to meet strategic data goals
- Apply governance frameworks and ensure accountability
The successful Data Quality Analyst will have:
- Proficient in BI tools (e.g., Power BI)
- Familiar with Agile and Waterfall methodologies
- Experience with metadata management, data catalogues, and stewardship tools
- Understanding of Master Data Management principles
Desirable
- Proven success in data governance programs
- Operational and change management experience
Ready to help shape the future of mobile infrastructure through data excellence? Apply today to (url removed)
Project People is acting as an Employment Business in relation to this vacancy.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Informatica mdm Jobs in United Kingdom !
6
Data Quality Analyst
London, London
Hanson Lee
Posted today
Job Viewed
Job Description
A successful and established London Market syndicate is seeking a highly motivated and detail-oriented Data Quality Analyst to join their team. The Data Quality Analyst is integral to ensuring the organization's data assets are managed, secured, and utilized to support business decision-making. As Data Quality Analyst will play a key role in maintaining and driving quality standards, policies, and procedures related to data governance while collaborating with stakeholders across departments to enhance data quality and integrity. NB: If you do not have experience of working in the insurance sector, you will unfortunately NOT be eligible for this role. Key Responsibilities: Develop and implement a comprehensive data governance framework Help create, implement, and maintain data governance policies and procedures to ensure the business is compliant with relevant regulatory requirements Work with data owners and data stewards to establish and enforce data quality metrics, monitoring, and improvement processes Identify and appoint data stewards, providing guidance and support Develop and maintain a data catalog, taxonomy, and data lineage documentation Advocate for data quality best practices and drive initiatives to enhance data-driven decision-making Develop and deliver training and awareness programs to promote data governance & data quality principles across the organization Experience Required: Minimum of 3 years in data governance, data management, or a related field Data Governance Expertise: Proven experience in developing and implementing data governance/quality policies and procedures in a regulated environment Technology Skills: Familiarity with data management technologies and tools, such as data catalogues, data lineage, and data quality tools Stakeholder Management: Proven history of working with both technical and non-technical stakeholders, bridging the gap between data teams and business units
This advertiser has chosen not to accept applicants from your region.
7
Data Quality Analyst
Reading, South East
Project People
Posted today
Job Viewed
Job Description
Data Quality Analyst 12 months FTC Reading Hybrid working – 3 days per week in Office Main Purpose of the Role: To own and develop Data Quality Reports, to set up and maintain automated data processes and support the business in fixing data. To provide information and data out to the business whilst acting as an outward ambassador for the BI Team. Working with the Business to develop and plan data quality improvements inline with the data strategy and framework. Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality Contribute and apply best practice and expertise knowledge in all areas under remit of supporting the strategic roadmap for Data Governance Key Responsibilities Deliver BAU work and report production including review and continual development of the daily and overall Data Governance processes/controls to improve the performance and reliability of Data and deliver business efficiencies. Participate in the application and deployment of data policies and processes and their continued enforcement to include areas such as workflow for data ingestion, data quality, master data and data life cycle management. Ensure that data quality guidance and direction is applied throughout the entire data lifecycle, most importantly upfront, through the vision and roadmaps for solutions that seek to leverage data and data services. Support the development and maintenance of an end to end data lifecycle management approach Responsible for applying data governance framework including the management of data, data operating model, data policies and standards as well as the application of clearly defined data management definitions for use across the company Apply a data governance framework, with a focus on continued improvement of data quality and strict adherence to the agreed Trust and Classification processes. Follow the guidelines related to data governance and data quality and ensure clear accountability. In addition, have a key role working with various stakeholders across the organization to achieve the goals defined in the data governance and data management strategies. Deliver status updates on data quality by updating a Data Quality dashboard Follow standards, policies and processes regarding data quality management Operate data remediation plans where data fails to meet required standard Build & maintain effective working relationships with Company teams and Shareholders Work closely with clients to gather business requirements, understand data and communicate project plans/ updates etc Skills BI tools best practice Agile and waterfall project practice Operational familiarity in the use of meta-data management, data quality, and data stewardship tools and platforms Experience in the use of data catalogues and data quality technologies Experience in the use of reporting and data quality tools; for example Power BI Understanding of Master Data Management technology landscape, processes, and design principles Desirable Proven track record in operating data governance programs Hands-on operational management and change management To apply for the Data Quality Analyst please send your CV to
This advertiser has chosen not to accept applicants from your region.
8
Data Quality Analyst
London, London
Hanson Lee
Posted today
Job Viewed
Job Description
A successful and established London Market syndicate is seeking a highly motivated and detail-oriented Data Quality Analyst to join their team. The Data Quality Analyst is integral to ensuring the organization's data assets are managed, secured, and utilized to support business decision-making. As Data Quality Analyst will play a key role in maintaining and driving quality standards, policies, and procedures related to data governance while collaborating with stakeholders across departments to enhance data quality and integrity. NB: If you do not have experience of working in the insurance sector, you will unfortunately NOT be eligible for this role. Key Responsibilities: Develop and implement a comprehensive data governance framework Help create, implement, and maintain data governance policies and procedures to ensure the business is compliant with relevant regulatory requirements Work with data owners and data stewards to establish and enforce data quality metrics, monitoring, and improvement processes Identify and appoint data stewards, providing guidance and support Develop and maintain a data catalog, taxonomy, and data lineage documentation Advocate for data quality best practices and drive initiatives to enhance data-driven decision-making Develop and deliver training and awareness programs to promote data governance & data quality principles across the organization Experience Required: Minimum of 3 years in data governance, data management, or a related field Data Governance Expertise: Proven experience in developing and implementing data governance/quality policies and procedures in a regulated environment Technology Skills: Familiarity with data management technologies and tools, such as data catalogues, data lineage, and data quality tools Stakeholder Management: Proven history of working with both technical and non-technical stakeholders, bridging the gap between data teams and business units
This advertiser has chosen not to accept applicants from your region.
9