Methods Data and Research Analyst

  • Europe
  • Contract
  • £21 - £22 per day + INSIDE IR35

Methods Data and Research Analyst
Initial 6 months
£21-22 per hour. Inside IR35. Paid through an umbrella company.
Need to be eligible for SC clearance.
Hybrid role: For this role you will be attached to one of our core locations in Newport, Titchfield, Edinburgh or Darlington where presence at one of these sites will form part of the working arrangements agreed with you.

Organisational Context

Methods, data and research analyst roles sit throughout Economic Statistics Group (ESG). The purpose of these roles is to conduct research and deliver improvements to economic statistics. These improvements could be in relation to the existing compilation methods, data sources or processes or through the development of entirely new methods, processes and/or data sources. Roles will usually be situated in a team with specific responsibility for research and development but could in some instances be an individual role embedded within a wider team (such as a production team).
Methods, data and research analysts can have a range of responsibilities, but will always require analytical expertise and in many cases also subject expertise (that is, detailed knowledge about particular areas of economic statistics). The role involves responsibility for managing research and development workstreams and delivering technical or analytical work.

Posts covered by this role will often be filled by staff who are members of badged analytical professions, but could equally be filled by other staff with the requisite skills, such as staff actively engaged on the Operational Delivery Profession: Data Production, Management & Analysis pathway.

The role requires engagement with internal and external stakeholders to understand the requirements, collate the evidence in order to deliver the research or method under investigation. The role requires the production of technical papers and/or articles for stakeholders and/or customers.
Key responsibilities will typically include:

  • Conducting research and development with the aim of delivering changes and improvements to economic statistics. These improvements could be to existing data sources, compilation methods and processes, or could be related to the development of new outputs or more general analysis, such as required for sector classification.
  • Manipulating and analysing data and/or information to produce clear and high quality qualitative and quantitative analyses which can be used to inform decision making both within ONS and by external stakeholders.
  • Collaborating with a range of stakeholders (internal and external) to research, develop and (where appropriate) implement improvements, providing technical and analytical expertise.
  • Providing subject matter expertise within their area of work. For instance, by leading or contributing to how statistics guidance in the international manuals and guidance notes and similar should be interpreted.
  • Ensuring their technical and analytical skills are kept up-to-date.
  • Participating in and promoting a culture of continuous improvement.
Analytical skills Experience of applying appropriate analytical tools and methods to provide high quality quantitative and qualitative analysis.

Able to identify information gaps, weaknesses and anomalies in own analysis/research and that of others
Application of
Knowledge
Able to act independently in the application of
specialist knowledge to arrive at evidenced conclusions, options and/or recommendations
Communication of data/analysis Able to communicate to technical and nontechnical audiences through both written, visual and verbal presentation, including use of effective communication methods for team management and engagement, where applicable
Planning /
Workstream
Management
Able to apply basic approaches to plan, monitor and deliver own work to a high quality in a timely manner; identifying risks and issues as appropriate
Stakeholder Engagement Experience of working collaboratively with
customers/stakeho lders to understand their requirements and shape delivery
Leadership Able to ensure their team has a clear
understanding of their objectives
and time-frames

Able to explain how their team’s work fits in to the wider area

Is an effective role model (leads by example, is approachable, shows enthusiasm,
challenges inappropriate behaviour)
Subject
Expertise
(desirable)
Relevant domain or subject matter expertise
Expertise in use of analytical Relevant experience in using analytical software to deliver high
tools (desirable) quality analysis and/or new methods

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