Deadline: Monday 21st December at noon
Capital Stocks and National Balance Sheet publications are high profile national statistics which analyse thousands of datasets. Some of these series contribute to the UK's National Accounts, Gross Domestic Product and Public Sector Finances. The datasets on net stock, gross stock and consumption of fixed capital are estimated using the internationally recognised Perpetual Inventory Method which has recently been estimated in R_Studio.
We are looking for a qualified statistical production systems expert who is fluent in reading R_Studio code and can create a systems flow analysis, that will show dependencies with all the data inputs, the intermediate inputs created by the system and the outputs.
TYPICAL ROLE RESPONSIBILITIES
We are looking for someone who is fluent at understanding R_studio code and will be able to translate the code into a meaningful text, supported with adequate systems process diagrams and flows, that will explain how the system operates, linking all inputs and outputs. The descriptions need to explain in detail:
- What each line of the code is doing
- Which files and variables are being selected for each part of the code
- How these files are being processed
- What intermediate outputs are being created, how are these created and where do they feed into the process
- How are the outputs derived and what is their core dependency to the inputs
- What assumptions/constraints/parameters are being set in the production system and where are these sourced from
This work will make a valuable contribution to a specialist publication "The UK's Guide to the Perpetual Inventory Method" and it will also inform our internal statistical production process on how we can best integrate our current system in the core business platform.
We are looking for an individual to lead this work - initially for a 3-month engagement. You must have
* experience of successfully mapping statistical production systems, describing complex processes and systems, in R_studio,
* an excellent understanding of and be fluent in translating R_Studio codes in statistical production systems, into plain English.