Senior Data Analyst

Oxford (working on site once per fortnight)

Summary of required experience: NHS Data

Power BI

This is an exciting opportunity to join a dynamic and innovative Data & Analytics Department that is at the forefront of delivering high-quality information and insights to support the Trust's vision and values.

As a Senior Data Analyst, you will use your skills and experience to collect, process, analyse, and present data from various sources to help the Trust improve its services, performance, quality, and safety.

You will also collaborate with clinical and managerial staff, as well as external stakeholders, to provide them with timely and accurate data that informs their decision making and planning.

You will also play a key role in developing and implementing data standards, policies, and systems to ensure data quality and integrity.

You will be part of a supportive and friendly team of data analysts, led by an Information Team Lead, and you will benefit from the National Competency Framework that will enhance your skills and competencies to keep up with industry standards.

Main duties of the job

The role will involve taking ownership of large-scale projects, delivering, supporting and on-going improvement of routine and ad-hoc reporting on activity, waiting times & performance against operational measures. As well as running routine processes you will be responding to ad-hoc requests for information, developing the reporting functionality from the trust's local data warehouse.

A typical week will involve the following:

Collecting, validating, and integrating data from various sources, such as electronic patient records, clinical systems, surveys, audits, and national datasets.

Applying appropriate statistical and analytical methods and tools to analyse and interpret data, such as descriptive and inferential statistics, data modelling, and data visualisation.

Producing and sharing clear and concise reports, dashboards, and presentations that communicate key findings and recommendations to various audiences, such as clinicians, managers, commissioners, and regulators.

Responding to ad hoc data requests and queries from internal and external clients, ensuring data accuracy, reliability, and confidentiality.

Identifying and investigating data quality issues and anomalies and propose and implement solutions to improve data quality and integrity.

Participating in training, mentoring, and knowledge sharing activities within the data team and across the organisation.

using data analysis software and tools, such as SQL, Excel, R, Python, Power Bi or Tableau.

• 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.

• 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 ab