Senior Data Analyst
NHS Jobs Oxford
Main Duties and Responsibilities Collect, validate, and integrate data from various sources, such as electronic patient records, clinical systems, surveys, audits, and national datasets. Apply appropriate statistical and analytical methods and tools to analyse and interpret data, such as descriptive and inferential statistics, data mining, data modelling, and data visualisation.
Produce and present clear and concise reports, dashboards, and presentations that communicate key findings and recommendations to various audiences, such as clinicians, managers, commissioners, and regulators. Respond to ad hoc data requests and queries from internal and external stakeholders, ensuring data accuracy, reliability, and confidentiality.
Identify and investigate data quality issues and anomalies and propose and implement solutions to improve data quality and integrity. Support the development and implementation of data standards, policies, and systems, such as data dictionaries, data governance frameworks, and data quality assurance processes.
Keep up to date with the latest developments and best practices in data analysis, data management, and health informatics. Participate in training, mentoring, and knowledge sharing activities within the data team and across the organisation. General responsibilities Advanced skills in using data analysis software and tools, such as SQL, Excel, R, Python, Power Bi or Tableau.
Strong knowledge of statistical and analytical methods and techniques, such as regression, correlation, clustering, classification, and forecasting. Excellent communication and presentation skills, both written and verbal, with the ability to explain complex data and concepts in a simple and engaging way.
Attention to detail and accuracy, with the ability to work with large and complex datasets and ensure data quality and integrity. Problem-solving and critical thinking skills, with the ability to identify and address data issues and anomalies and provide evidence-based solutions and recommendations.
Teamwork and collaboration skills, with the ability to work effectively with colleagues from different backgrounds and disciplines, and external stakeholders. Time management and organisational skills, with the ability to prioritise and manage multiple tasks and deadlines and deliver high-quality results.
Produce and present clear and concise reports, dashboards, and presentations that communicate key findings and recommendations to various audiences, such as clinicians, managers, commissioners, and regulators. Respond to ad hoc data requests and queries from internal and external stakeholders, ensuring data accuracy, reliability, and confidentiality.
Identify and investigate data quality issues and anomalies and propose and implement solutions to improve data quality and integrity. Support the development and implementation of data standards, policies, and systems, such as data dictionaries, data governance frameworks, and data quality assurance processes.
Keep up to date with the latest developments and best practices in data analysis, data management, and health informatics. Participate in training, mentoring, and knowledge sharing activities within the data team and across the organisation. General responsibilities Advanced skills in using data analysis software and tools, such as SQL, Excel, R, Python, Power Bi or Tableau.
Strong knowledge of statistical and analytical methods and techniques, such as regression, correlation, clustering, classification, and forecasting. Excellent communication and presentation skills, both written and verbal, with the ability to explain complex data and concepts in a simple and engaging way.
Attention to detail and accuracy, with the ability to work with large and complex datasets and ensure data quality and integrity. Problem-solving and critical thinking skills, with the ability to identify and address data issues and anomalies and provide evidence-based solutions and recommendations.
Teamwork and collaboration skills, with the ability to work effectively with colleagues from different backgrounds and disciplines, and external stakeholders. Time management and organisational skills, with the ability to prioritise and manage multiple tasks and deadlines and deliver high-quality results.
A commitment to continuous learning and improvement, with the willingness to undertake further training and development opportunities. An understanding of the NHS structure, functions, and priorities, and the relevant data sources, standards, and regulations.
Oxford University Hospitals NHS Foundation TrustOxford
Do you have a passion for data and a desire to make a difference in the NHS? If so, you might be the perfect candidate for the Senior Data Analyst role at the OUH Foundation Trust.
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