Description
We are looking for an Analyst to join the team of our public sector client. Candidate should have skills in developing new and re-developing models in R (some of which are in SAS), forecasting and quantitative analysis.
The background of a candidate should be: data scientists, operational researchers, statisticians or quantitative analysts to redesign and redevelop a suite of models, and also support usual modelling/forecasting.
Responsibilities include:
- Support projects to redevelop our models; reviewing and improving the methods and building the models on our analytical platform using R software
- Support our business as usual modelling activity, eg routine forecasting of demand
- Undertake ad hoc quantitative analysis to support modelling work
- Support quality assurance of own analysis and supporting the quality assurance of analysis across the wider team in line with Aqua Book guidance
- Building relationships with analytical, policy and operational colleagues to understand relevant data and policy/operational context
- Communicating complex analysis to non-technical customers and senior leaders.
The following experience and skills are essential:
- Excellent data manipulation and quantitative analysis skills, with ideally good proficiency in R programming language;
- Proven experience using R/Python and SQL.
- Knowledge and experience of quantitative data analysis, modelling, forecasting.
- Experience of communicating and presenting complex data analysis is easy for non-specialists to comprehend.