Methods, Data and Research analyst

Public Sector Resourcing (PSR)Newport, WalesHybridContractListed 6 hours ago

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About this role

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On behalf of ONS , we are looking for a Research & Data Analyst (INSIDE IR35) for a until 31st March contract based Hybrid / in Wales/Newport .

The Office for National Statistics (ONS) is the UK’s largest producer of official statistics, covering a range of key economic, social and demographic topics. These include measuring changes in the value of the UK economy, estimating the size, geographic distribution and characteristics of the population, and providing indicators of price inflation, employment, earnings, crime and migration.

As a Methods, Research & Data Analyst, your main responsibilities will be:

- Work with colleagues in Prices and all our dependency areas (Data Engineering, Data Acquisitions, CIA) to understand data needs, identify suitable data suppliers and map out the most appropriate method to acquire that data.
- Quality assuring all production data sets and ensuring adherence to Data Sharing Agreements and Service Level Agreements
- For any live data feeds, work with suppliers to resolve any outstanding issues, regularly monitoring quality, discussing and planning out any changes/improvements which may have an impact on the delivery schedule/result in a material change to the data feed.
- Establish and maintain validation processes for all the regular data and as and when needed managing the redelivery of data in a way that aligns with our production round.
- Line managing a HEOs and managing 2 main streams of work which cover data engineering and data quality checks.
- Maintain all alternative data sources documentation such the central specifications, decision logs and change logs.

Essential:

- Proven ability to analyse complex economic and statistical data, identify trends, and develop evidence-based insights to support decision -making.
- Strong skills in data extraction, transformation, validation, and quantitative analysis , with experience producing high-quality analytical outputs.
- Experience conducting research and developing improvements to statistical methods, data sources, processes, and analytical frameworks.
- Ability to work effectively with internal and external stakeholders, providing technical expertise and influencing the development and implementation of improvements.
- Strong understanding of statistical standards, methodologies, and guidance, with the ability to interpret and apply technical frameworks and best practices.
- Demonstrated ability to identify opportunities for process improvement, drive innovation, and maintain up-to-date technical and analytical knowledge.

Please be aware that this role can only be worked within the UK and not Overseas.

Disability Confident

As a Disability Confident employer, ONS encourage applications from disabled and neurodivergent candidates . Applications from candidates who identify as having a disability and meet the essential criteria for the role will be prioritised for review. Where application volumes are high, additional role-specific and desirable criteria may be applied as part of the shortlisting process which may include holding active security clearance.

Armed Forces Covenant

As a signatory of the Armed Forces Covenant, ONS welcome applications from veterans, service leavers, reservists and military spouses or partners. Applications from eligible candidates who meet the essential criteria for the role will be prioritised for review. Where application volumes are high, additional role-specific and desirable criteria may be applied as part of the shortlisting process which may include holding active security clearance.

In applying for this role, you acknowledge the following "this role falls in scope of the Off Payroll Working in the Public Sector legislation. Any rates of payment quoted will reflect the gross rate per day for the assignment and will be subject to appropriate taxes and statutory costs. As such the payment to the intermediary and your income resulting from this contract will be different".