Analytics Engineer

Dyddiad hysbysebu:	29 Ebrill 2026
Cyflog:	£40,559.00 i £48,841.00 bob blwyddyn
Gwybodaeth ychwanegol am y cyflog:	£40559.00 - £48841.00 a year
Oriau:	Llawn Amser
Dyddiad cau:	13 Mai 2026
Lleoliad:	Cwmbran, NP44 3HR
Cwmni:	NHS Jobs
Math o swydd:	Cytundeb
Cyfeirnod swydd:	H9040-26-0496

Crynodeb

Interpret routine and ad hoc information requirements from across the Health Board, providing advice as to how these requirements can be translated into business intelligence requirements. To plan own workload around the requirements of the workplan, undertaking complex tasks and activities whilst dealing with interruptions often on a constant basis. Undertake line management and coaching Junior Analytics Engineers in technical and non-technical skills Undertake peer review of code and design of scripts and data models advising on best practice Participate in user focused design of BI Products ensuring all products are in scope of work packages and best practice. Develop complex BI Products in a range of tools following agreed architecture. Develop basic data engineering pipelines in line with agreed practices. Communicate complex analytical matters to non-analytical professionals and advise on methodologies within a scope of practice. Become a domain subject matter expert for areas supported by the post holders work programme. Improve data linkage between systems which are warehoused to increase Health Board knowledge and understanding of the impact of activities and operations on patient outcomes. Clearly communicate the results of business intelligence developments and engage with key users, emphasising any limitations and/or data quality issues which may potentially impact the robustness of reporting and influence decision making. Develop and deliver educational, training and presentations (both formal and informal) with stakeholders to improve interpretation and appropriate use of data, reports and business intelligence tools, conveying complex technical/statistical/epidemiological concepts in a meaningful way. Maintain Continuous Professional Development in the Analytics Engineer environment and work towards Association of Professional Healthcare Analysts membership. To participate in the planning of the overall work programme for the BI department, with a particular focus on identifying dependency within an agreed work plan which requires support from the wider Information Services department. Undertake development of business intelligence systems with a focus on business requirements and information problems in a specific area to design and develop innovative analytics and Business Intelligence (BI) solutions to a high level of satisfaction. Undertake development of automated reporting using key scripting languages such as Python. Undertake investigation and troubleshooting of issues and problems ensuring learning and improvement is developed during post issue review. To be involved in the development of and use standards and policies for the development of Business Intelligence Tools. Peer review existing systems and highlighting and investigating data anomalies / data quality issues relating to the availability, accuracy and relevance of data, instigating corrective action and proposing solutions for their resolution. Undertake work with other technical departments within Digital, Data & Technology to ensure that the development of business intelligence suite of applications is effective and results in the collection of data that can be reported effectively and accurately. Contribute to the development and maintenance of a comprehensive report catalogue supported by Standard Operating Procedures (SOPs), which document the standards and business rules associated with data processing and reporting. Keep up to date with relevant information governance standards and policy, ensuring requirements are applied accurately and consistently across all reporting mechanisms to assure compliance. Proactively identify and recommend changes to procedures based on specialist knowledge of changed requirements in areas being worked on. Investigate and extract data from the Health Boards source systems and databases to undertake analysis for internal routine and ad hoc business intelligence developments, assisting in the production of statutory and NHS central activity data returns which may affect Health Board performance ratings, ensuring returns are submitted within deadlines. Work within a team to achieve agreed objectives within broad professional organisational policies, acting as a specialist across a wide range of issues and prioritising skills in order to manage competing demands and achieve a number of monthly reporting deadlines. Works independently within organisational and professional policies and procedures; operates on own initiative, taking advice from manager if required. Data Analysis, Synthesis & Innovation: Skilled in the delivery of data profiling and analytics, locally used applications, systems, platforms and reporting tools and share your knowledge with others. Ability to create analytical tools such as dashboards and data models to a high standard. Ability in researching, developing and providing recommendations of which tools and techniques to use to explore or solve a variety of business issues and communicate the results of analysis with impact to a range of audiences. Recognise where external data sources can be integrated with own datasets. Skilled in the development of analytical tools using a range if visualisations, including statistical and geographical components. Data Modelling: Ability to use a wide range of concepts and principles of data modelling and can produce relevant data models across multiple subject areas. Supporting junior staff and working with senior colleagues, you understand how to reverse-engineer data models from existing systems. An understanding of industry-recognised data modelling patterns and standards and when to apply them based upon a detailed understanding of requirements Use complex and large-scale data structures and associated components, and create effective Business Intelligence tools optimised for the user. Problem Resolution: You can identify the types of problems in your domain, including databases, data processes, data products and services You respond to problems in databases, data processes, data products and services under guidance You perform tasks in your domain according to standard operating procedures You review domain problem resolutions and share lessons learned. Metadata Management: You can create and use metadata repositories e.g. data dictionaries to complete complex tasks such as data and systems integration impact analysis