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Data Processing Assistant Statistician

Venesky Brown Recruitment Ltd
Closing date
16 Sep 2021

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Technology & New Media
Contract Type
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Venesky-Brown's client, a public sector organisation in Edinburgh, is currently looking to recruit a Data Processing Assistant Statistician for an initial 6 month contract with the potential to extend on a rate of £258/day (inside of IR35). Due to the current circumstances this role will be remote based for the foreseeable future.


- Being topic lead for Estimation and Adjustment (E&A) ensuring statistical methods, requirements and test plans are delivered on time.

- Providing topic expertise for E&A. Gaining an in-depth understanding of the background to the methods and working with the team to develop well-defined, robust statistical methods.

- Working with the Test Team, IT and Statisticians to carry out the User Acceptance Testing and End-to-End testing of statistical data processing using the Data Processing System.

- Working with colleagues to develop quality assurance (QA) dashboards in R Shiny for E&A, to QA the processes and validate population estimates.

- Work with project managers to update project plans, consider resource requirements, identify and suggest resolutions to risks, issues and decisions for E&A.

- Work proactively with statistical and non-statistical colleagues across the Census programme to deliver high quality census outputs.

- Attend peer review meetings to review and gain assurance on statistical methodology decisions.

Essential Skills:

- Strong management skills to motivate and manage within the team to deliver robust statistical methods.

- Good communication skills and the ability to explain and present complex ideas and data to a wide range of internal and external stakeholders.

- Good statistical analysis skills to be able to develop methodologies to address real problems.

- Ability to interpret analytical information and use findings to support key messages and decisions.

Desirable Skills:

- IT Skills: Knowledge and experience of SAS and/or R or other packages for data manipulation.

If you would like to hear more about this opportunity please get in touch.
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