Senior data analyst
The ONS operates a flexible hybrid working model across the UK, with colleagues linked to one of our contractual locations working between office and remote throughout the week. The location for these roles is London.
All colleagues are required to work from their contractually allocated site for at least 40% of their working time. The induction process for the role will be conducted in person. Job Summary Here at the Office for National Statistics (ONS), we have unrivalled access to a vast breadth and depth of data. Every day, we use this to produce trusted statistics, insightful analysis, and meaningful research that informs both the public and policymakers on the issues that matter most. Our work spans the production of regular core statistics and the analysis that brings them to life. Increasingly, we’re tackling cross-cutting analytical challenges in collaboration with Central Government Departments, Devolved Administrations, Local Authorities, and with support from academics, charities, and expert advisers. We're also expanding our use of administrative data from across and beyond Government, while transforming our surveys to ensure they capture the most relevant and timely information. Over the past year, ONS has delivered unique insights into key areas such as health, population, migration, inflation, the economy, and household finances—raising our profile across Government and within society. We take a creative and inclusive approach to our work, focusing on delivering brilliant, sustainable outcomes. Collaboration is at the heart of what we do, and we invest in building strong, positive working relationships across the organisation. Following the recent independent review of ONS by Sir Robert Devereux, we’ve launched our Economic Statistics Plan (ESP)—a bold response to restore quality and confidence in our economic statistics. The plan outlines how we assess the quality of our core outputs, the steps we’re taking to address risks and challenges, and the foundations we’re laying for the future. These changes will help us build a more resilient statistical system that supports confident decision-making and a clearer understanding of UK society. Delivering the ESP successfully requires a collective effort. As part of that, ONS is recruiting a number of Senior Data Analysts to help us understand, manipulate, and accurately analyse data—providing insight that informs both internal and external audiences. Job Description Senior Data Analysts at ONS play a vital role in unlocking the power of data to inform decision-making across Government and society. Working across a broad range of topics, they collect, organise, and analyse data to deliver high-quality insights that support operational and strategic goals. Whether it’s helping the public understand complex issues or guiding internal teams with evidence-based recommendations, Senior Data Analysts make data accessible, meaningful, and impactful—even for non-specialist audiences. Key Responsibilities Of Senior Data Analysts Include:- Provide subject matter expertise in your area of work, including interpreting international statistical guidance and standards.
- Champion a culture of continuous improvement across teams and processes.
- Analyse and interpret data to understand trends and movements, drawing on multiple sources to build compelling narratives.
- Identify and resolve issues in data processes, systems, and methods.
- Foster curiosity and critical thinking to uncover stories, trends, and anomalies in statistics.
- Manage, clean, abstract, and aggregate data for a range of analytical studies.
- Identify, collect, and migrate data across systems, linking datasets where needed.
- Use analytical tools and techniques for data analysis, visualisation, and business reporting.
- Summarise and present analytical findings to a variety of stakeholders.
- Apply coding and programming skills to deliver robust analysis.
- Manage resources across your branch and related areas to ensure timely and high-quality outputs.
- Provide subject matter expertise in your area of work, including interpreting international statistical guidance and standards.
- Champion a culture of continuous improvement across teams and processes.
- Analyse and interpret data to understand trends and movements, drawing on multiple sources to build compelling narratives.
- Identify and resolve issues in data processes, systems, and methods.
- Foster curiosity and critical thinking to uncover stories, trends, and anomalies in statistics.
- Manage, clean, abstract, and aggregate data for a range of analytical studies.
- Identify, collect, and migrate data across systems, linking datasets where needed.
- Use analytical tools and techniques for data analysis, visualisation, and business reporting.
- Summarise and present analytical findings to a variety of stakeholders.
- Apply coding and programming skills to deliver robust analysis.
- Manage resources across your branch and related areas to ensure timely and high-quality outputs.
- Stakeholder Engagement and Communication: Effectively engages diverse stakeholders and communicates complex statistics clearly through written, visual, and verbal formats, tailored to both technical and non-technical audiences, including senior leaders.
- Management of resources: Experience in managing workstreams of different sizes and complexity. Using appropriate approaches to plan, monitor and deliver work to a high-quality standard in a timely manner; identifying risks, blockers and issues as appropriate. to ensure outputs are delivered.
- Analysis of Data: Able to apply appropriate analytical tools and methods to produce high-quality analysis, generating insights from data to inform statistical quality.
- Application of Knowledge - Experience in applying, and supporting others in applying, specialist knowledge to complex situations and arriving at evidenced conclusions, options and/or recommendations.
- Leadership - Leads by example and role-models commitment and satisfaction with the role. Someone who takes into account different individual needs, recognises the achievement of others and is able to effectively manage conflict, misconduct and non-inclusive behaviour
- A 2.1 degree in economics OR
- A 2.1 in a social science related subject with sufficient research OR
- A 2:2 in a numerate subject containing taught statistical content.
- Leadership
- Communicating and Influencing
- Working Together
- Making Effective Decisions
- Data Quality - Understands and can explain statistical / research methods and the differences between sources, such as concepts or different data sets. Is able to design and choose best methods for data collection.
- Analysis Approach - Utilises analytical tools to analyse data for trends and gaps, applying approved techniques to create coherent series’ and data modelling
- Presentation / Dissemination - Communicates in a straightforward and engaging manner, choosing appropriate styles to maximise understanding.
- Departmental or company records (personnel files, staff reports, sick leave reports and security records)
- UK criminal records covering both spent and unspent criminal records
- Your credit and financial history with a credit reference agency
- Security Services records
- Stage 1: Application
- Stage 2: Interview
- UK nationals
- nationals of the Republic of Ireland
- nationals of Commonwealth countries who have the right to work in the UK
- nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window)
- nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)
- individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020
- Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service
- Name : Anthony Jones
- Email : [email protected]
- Telephone : [email protected]
- Email : [email protected]
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