Statistical Officer

Our client, based in Belfast is looking for a Statistical Officer to join their team

Job Description:

- The postholder will work within NISRA’s Technology and Support Lab (Tech Lab). The Tech Lab’s main aim is to optimise new and existing technology to support NISRA staff to improve process efficiency, deliver innovative solutions and facilitate learning through collaboration.

Main Duties:

- Data cleaning and validation;

- Data processing / statistical procedures (e.g. imputation, grossing, outlier methods) to produce preliminary estimates;

- Produce draft publication and release documentation for clearance by G7 Statistician, including draft lines and infographics for social media;

- Respond to a variety of adhoc statistical queries;

- Professional development through training and seminars.

- Provide advice and information to customers on an ad hoc basis; including answers to AQs, press queries, briefing for policy colleagues and to act as a data service for internal and external customers.

- Liaise with ONS to ensure that the methods used in Northern Ireland are consistent with those used in the ONS and in line with best practice.

- Continue to develop and improve statistical outputs and processes to meet user needs, including undertaking user engagement exercises, and improving statistical methods in line with the ELMS Modernisation project.

- Participate in internal branch working groups and external user groups, as well as representing ELMS at wider cross branch NISRA working groups relevant to Economic Output as required.

Essential Criteria:

- 5 GCSEs Including Maths and English (certificate proof)

- Excellent communications skill – oral and written

- Excellent interpersonal skills and ability to work effectively with key stakeholders

- Strong organisational skills. The post holder will be required to work effectively within the team whilst also managing their own workload.

- Good statistical skills, including experience of managing and analysing large datasets, quality assuring outputs. Previous experience of sampling, grossing and estimation, outliering and imputation methodologies would be beneficial.

- Good IT skills within Microsoft Office packages, particularly Excel. Previous experience with SAS and R would be beneficial.

- Good knowledge of the Data Protection Act, Official Statistics Code of Practice

- Good communication skills

- Ability to use own initiative

Wage:

- £17.94ph (weekly)

Location:

- Colby House, Stranmillis

Start Date:

- ASAP

Length Of Assignment:

- 30/09/2024

Work Pattern:

- Monday to Friday

- 37hrs per week

Please send your CV via the link or email