Analytics Technical Specialist
6 days ago
Supporting Development of Research Databases 1) Work with digital and clinical colleagues to establish a research database, bringing together data from different clinical systems based on agreed specifications. 2) Identify data sources and write queries to populate the database with the required data. Consulting with SMEs where necessary. 3) Work with digital colleagues and clinical to establish a pseudo anonymisation process to anonymise data within the research database.
This will include fully anonymising imaging files, and other sensitive data. 4) Develop data dictionaries and meta data to support database use (for sharing with data users). 5) Be the primary contact for any queries relating to the data. Coordinating and delivering extracts and responding to any queries.
6) Create data quality reports for extracted dataset to be validated by second analyst, liaising with data access committee on any issues or concerns. 7) Feedback on data quality issues and support projects aiming to improve data quality. 8) Report to data access committee any data breaches or issues with database. 9) Act as mediatory/advisor on dataset (consult with SMEs where necessary) 10) Work with Digital and clinical colleagues on database refreshes and updates.
Supporting the Core Analytical Function 1) Postholder will manage their own day-to-day activities including: a. Answering analytics requests. Providing data extracts and analysis - incorporating data science tools and techniques, where appropriate. b.
Explain methodologies and recommendations to a wide range of audiences (technical and non-technical). c. Identify the most applicable techniques and variables to meet the customers needs, investigating conflicting information. d.
Writing programming code in SQL/ R/ Python as appropriate. e. Investigating outliers and data quality issues. f.
Providing data to support research and audit projects. g. Completing project documentation and delivering projects to agreed specifications. 2) Contribute to teams peer review process for queries and analytical outputs.
3) Interpret and resolve complex data problems by adopting an analytical approach designed to identify the most suitable solution and avoid future recurrence. 4) Continually review, and strive to improve, working policies and procedures which may impact across departments. Implement new and improved processes and policies as appropriate. 5) Support the delivery of the Clinical Outcomes and Data Strategy in conjunction with CO Director, Head of Analytics, Lead Analyst and Clinical Teams - particularly around improving data access.
6) Execute other duties appropriate to the skills and experience of the post holder which may be identified by the manager. 7) Take a proactive approach to developing own skills and experience. 8) Support team members. Mentor and coach junior members and undertake line management duties as required.
9) Demonstrate the agreed set of values and accountable for own attitude and behaviour.
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