Description
Senior Workforce Intelligence Analyst
Cambridge
3 months
£400 per day - Inside IR35
Key duties and responsibilities:
- Lead on the provision of workforce intelligence reports to inform the improvement of workforce planning, staff engagement and performance management at all levels of the organisation.
- Produce accurate and timely analytical and statistical workforce report by use of the Oracle Discoverer and other sources of workforce information, using specialist skills to identify trends relating to talent (appraisal data), staff development (training needs), recruitment and retention, equal opportunities and staff experience,
- Work with Staff Engagement lead to ensure timely organisation of National Staff Survey and quarterly pulse surveys, including interpreting results and developing reports to inform strategic workforce action plans.
- Analyse and interpret complex sets of data, deciding on the most appropriate way to present the information to ensure that it is clear, meaningful and can be readily understood by the target audience. Be able to present and communicate complex or technical information to non-technical audiences
- Design and develop automated systems, databases and spreadsheets, using complex formulas and data analysis
- Provide analytical support and advice to specific work streams/projects as required including detailed workforce data analysis, graphical presentation of data, trend analysis and modelling
- Respond to ad hoc requests for intelligent information from managers, ensuring appropriate and accurate information is produced in a clear and understandable manner which is compliant with Data Protection Act requirements
- Provide benchmarking data for use within the Trust, using a variety of sources of information, including iView
- Use Qlikview Business Intelligence software to upload, manipulate and present data in the most appropriate way for best use by Trust managers
Data Management
- Lead on the update and maintenance of data to ensure data quality standards are met and that data is held, queried and reported on in a consistent manner.
- Retrieve, consolidate and analyze large amounts of data from different HR systems ( including the recruitment, training appraisal, staff survey, ESR e.tc) to provide insights on workforce trends and staff engagement
- Create new data sets to inform or assist analysis as and when required. This may be the creation of new data from published sources (which are not in a suitable format), combining records from different data sets to create new tables, inputting data into new fields for existing records or adding new records.
- Improve access to and use of performance data, and intelligence
- Establish scalable, efficient, automated processes for large scale data analysis.