Data Analyst
| Posting date: | 14 July 2025 |
|---|---|
| Salary: | £32,000.00 to £35,000.00 per year |
| Additional salary information: | £32000.00 - £35000.00 a year |
| Hours: | Full time |
| Closing date: | 08 August 2025 |
| Location: | City Of Manchester, M4 7DB |
| Company: | NHS Jobs |
| Job type: | Permanent |
| Job reference: | E0166-25-0202 |
Summary
The primary purpose of the role is to manage, review, validate, analyse and interpret a variety of datasets, with a core focus on extracting meaningful insights that inform service improvement and strategic decision-making. Data Collection and Acquisition Gather data from primary (internal systems, surveys) and secondary (public datasets, APIs) sources. Collaborate with IT and data engineers to access relevant data. Automate data collection and reporting processes using Python, R, or SQL. Data Cleaning and Preparation; Analytics Processes Handle missing or inconsistent data. Format and structure data for analysis. Use tools like SQL, Excel, R, Python for wrangling. Provide support for analytics processes, methods and tools to ensure maximum efficiency, accuracy, and security. Create processes to validate data across several datasets. Manipulate and move data in various formats and from/to different systems. Ensure data stored in various systems is correct, accurate and reliable. Data Analysis and Interpretation Analyse raw data, perform exploratory data analysis (EDA) to find trends, patterns, or anomalies. Use statistical techniques to test hypotheses or model relationships. Should be comfortable with analysis methods such as correlation, regression and hypothesis testing, in both parametric and non-parametric forms. Interpret trends and deliver actionable insights to clients. Reporting and Data Visualisation Provide support to operational work - regular reporting projects. Maintain tools and dashboards and update data regularly. Build recurring reports and automate them when possible. Design and create visual representations of data: dashboards, charts, and reports using tools like Power BI. Present data in a clear, understandable way to clients. Reporting, Storytelling with Data, and Communication Translate technical findings into data insights. Explain analytical findings in a compelling, digestible format to non-technical audiences. Bridge the gap between data and decision-makers. Communicate results through presentations, reports, and briefings. Ensure developed products are delivered to set timescales. Cross-team Collaboration Work with all teams: programme teams, product team, dev hub, network development and others. Collaborate with and understand programme team's requirements. Benefits Annual bonus scheme (subject to personal and business performance) 25 days holiday increasing to 28 after 18 months service, plus statutory bank holidays Flexible 8-hour shift around 6 core working hours Contributory pension Wellbeing programme, including EAP Life Assurance