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 a focus on quality and trust in statistics.
- Why this job: Make a real impact on the UK economy through data-driven insights.
- Qualifications: Degree in economics or a related field; experience in data analysis preferred.
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
- Membership (or eligibility) for a government analytical profession
- Relevant work experience in data analysis or research
Data Analyst - Office for National Statistics - HEO in Manchester employer: Manchester Digital
At the Office for National Statistics, we pride ourselves on being an exceptional employer that values collaboration, innovation, and professional growth. Our supportive work culture fosters a sense of community, where employees are encouraged to develop their skills and contribute to meaningful projects that impact the UK economy. With locations in Newport, Titchfield, Manchester, and Darlington, we offer a dynamic environment that not only prioritises work-life balance but also provides unique opportunities to engage with diverse datasets and make a real difference in public policy.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Office for National Statistics - HEO in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the Office for National Statistics on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by practising common data analysis questions. We recommend using real datasets to showcase your skills. Being able to demonstrate your analytical thinking will set you apart from the crowd.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant data analysis projects, make sure to discuss them during interviews. Highlight how you cleaned, linked, and interpreted data to produce insights that made a difference.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Analyst - Office for National Statistics - HEO in Manchester
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 complex datasets and any relevant programming tools you've used. We want to see how you can contribute to our mission at ONS!
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 your background aligns with the goals of the Office for National Statistics. Let us know what makes you the perfect fit for this role.
Showcase Your Analytical Skills:In your application, be sure to include specific examples of how you've analysed data in the past. Whether it's identifying trends or producing user-friendly outputs, we want to see your analytical prowess in action!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details you need to make your application stand out!
How to prepare for a job interview at Manchester Digital
✨Know Your Data
Before the interview, brush up on your understanding of data analysis techniques and tools. Be prepared to discuss how you've used programming tools in past roles to analyse complex datasets. This will show that you’re not just familiar with the theory but have practical experience too.
✨Showcase Your Insights
Think of specific examples where you've identified trends or insights from data. Be ready to explain how these insights influenced decisions or outcomes. This demonstrates your ability to turn data into meaningful information, which is crucial for the role.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You’ll need to communicate findings to both technical and non-technical audiences, so being able to articulate your thoughts clearly will set you apart. Consider doing mock interviews with friends to refine this skill.
✨Collaborative Spirit
The role involves working with various teams, so be prepared to discuss your experience in collaborative environments. Share examples of how you’ve worked with stakeholders to achieve shared objectives, highlighting your strong engagement skills.
