At a Glance
- Tasks: Transform complex data into meaningful insights that shape government decisions.
- Company: Join the Office for National Statistics, a key player in UK economic analysis.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with strong focus on data quality and innovation.
- Why this job: Make a real impact on UK statistics and help inform national decisions.
- Qualifications: Degree in economics or related field, plus data analysis experience.
The predicted salary is between 33000 - 42000 £ per year.
Location: Newport, Titchfield (Fareham), Manchester, Darlington
At the Office for National Statistics (ONS), your work will help produce the statistics that shape decisions across government and inform the nation. From inflation to GDP, you'll turn complex data into meaningful insights, helping decision-makers understand what's happening in the UK economy and what comes next.
About the role
As a Data Analyst, you'll support the delivery of the Economic Statistics Plan, a major programme focused on strengthening the quality and trust in UK economic statistics. You'll work with large, complex datasets to produce high-quality analysis and insight. This is a hands-on role where you'll clean, link and interpret data, helping transform how statistics are produced and used across the organisation.
What you'll be doing:
- Collect, clean and manage large, complex datasets
- Analyse data to identify trends, patterns and insights
- Link and combine datasets to support deeper analysis
- Produce clear, user-friendly outputs for both technical and non-technical audiences
- Use tools for data visualisation, modelling and analysis
- Support data quality checks and ensure accurate, reliable outputs
- Apply statistical techniques such as forecasting and time series analysis
- Present findings and make recommendations based on data
- Work collaboratively with teams across ONS to support shared objectives
What we're looking for:
- Strong ability to analyse and interpret complex data
- Experience using programming tools for data analysis
- Ability to identify and communicate trends, insights and anomalies
- Confident communicating with technical and non-technical audiences
- Strong stakeholder engagement and collaborative working skills
Qualifications:
- Degree (2:2 or above) in economics, a numerate subject or social science, or Membership (or eligibility) for a government analytical profession, or Relevant work experience in data analysis or research
Interested? This partner post gives you a quick overview. Click through to the full Civil Service Jobs advert to find out more and apply.
Data Analyst - Office for National Statistics - HEO employer: Government Digital & Data
At the Office for National Statistics, we pride ourselves on being an exceptional employer that values collaboration, innovation, and professional growth. Our work culture fosters a supportive environment where data analysts can thrive, contributing to vital national statistics while enjoying opportunities for continuous learning and development. With locations in Newport, Titchfield, Manchester, and Darlington, we offer a unique chance to make a meaningful impact on the UK economy in a dynamic and inclusive setting.
Contact Details:
Government Digital & Data Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Office for National Statistics - HEO
✨Tip Number 1
Network like a pro! Reach out to current or former ONS employees on LinkedIn. Ask them about their experiences and any tips they might have for landing the Data Analyst role. Personal connections can give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. Be ready to discuss specific tools you've used and how you've tackled complex datasets in the past. We want to see your problem-solving skills in action!
✨Tip Number 3
Show off your communication skills! Practice explaining your data findings in simple terms, as you'll need to present to both technical and non-technical audiences. We love candidates who can make complex data accessible.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining the ONS team and contributing to meaningful insights for the UK economy.
We think you need these skills to ace Data Analyst - Office for National Statistics - HEO
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Analyst role. Highlight your experience with large datasets and any programming tools you've used, as this will show us you're a great fit for the job.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how you can contribute to the Economic Statistics Plan. Keep it engaging and relevant to the role.
Showcase Your Analytical Skills:In your application, be sure to mention specific examples of how you've analysed complex data in the past. We want to see your ability to identify trends and insights, so don't hold back on the details!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It’s the best way to ensure your application gets the attention it deserves, and we can't wait to see what you bring to the table!
How to prepare for a job interview at Government Digital & Data
✨Know Your Data
Before the interview, brush up on your data analysis skills. Familiarise yourself with common programming tools and statistical techniques mentioned in the job description. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience.
✨Understand the ONS's Role
Research the Office for National Statistics and its impact on the UK economy. Understand their current projects and how your role as a Data Analyst fits into their mission. This knowledge will help you answer questions more effectively and demonstrate your genuine interest in the position.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Think of examples where you've cleaned or analysed complex datasets, and be prepared to explain your thought process. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.
✨Communicate Clearly
Since you'll be presenting findings to both technical and non-technical audiences, practice explaining complex data insights in simple terms. During the interview, focus on clarity and confidence in your communication, as this will showcase your ability to engage with diverse stakeholders.
