At a Glance
- Tasks: Lead the design and implementation of data models for Scotland's Census 2031.
- Company: Join a trusted organisation shaping Scotland’s population statistics.
- Benefits: Opportunity to work on a major digital programme with career stability.
- Other info: Be part of a time-limited project with excellent growth opportunities.
- Why this job: Make a real impact on how Scotland's services are planned for the future.
- Qualifications: Advanced analytical skills and experience in data modelling required.
The predicted salary is between 40000 - 48000 £ per year.
This opportunity is only open to applicants who are currently 'Priority Movers'.
Applications from individuals not currently on the Priority Mover list will be rejected and not considered.
Do you want to shape the delivery of Scotland’s Census, enabling governments and other public bodies to plan the services we all rely on, and telling the story of Scotland's people for generations to come?
If so, this post could be for you.
We are the trusted producer of Scotland’s population statistics, including taking the Census of Scotland’s population every 10 years.
The next Census is in 2031 and will be delivered in partnership with the Office for National Statistics (ONS) and Northern Ireland Statistics & Research Agency (NISRA).
This is one of the largest digital programmes delivered in Scotland, gathering data from every household across a population of c.5.7m.
You should note that Scotland’s Census is a time limited project which will run until 2032 depending on the role.
Staff who are on permanent contracts will remain with NRS after this time whilst a new, suitable role is found.
- Please contact the line manager named in this advert if you have any further questions
- Overview of role
NRS requires a Senior Data Analyst to support the delivery of Census 2031 by leading the design and implementation of data models and analytical structures, working closely with data architecture to shape how census and administrative data is structured, integrated and used.
The candiadate will take a hands‑on role in developing and delivering census data models, ensuring that data is structured in a way that supports high‑quality statistical outputs, operational delivery, and integration with administrative data sources.
This role combines advanced analytical expertise with practical delivery, focusing on building and implementing robust data models and transformation logic.
#J-18808-Ljbffr
Senior Data Analyst (Census 2031) - B3 employer: Scottish Government
The Scottish Government offers a dynamic and supportive work environment, where you can make a significant impact on customer service and safeguarding across Scotland. With a strong focus on employee development and innovation, you will have access to numerous growth opportunities while working alongside a dedicated team committed to excellence in public service. Join us in shaping a high-performing organisation that values collaboration and strives for transformative results.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst (Census 2031) - B3
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Scottish Government!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Analyst (Census 2031) - B3 at Scottish Government.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Scottish Government.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst (Census 2031) - B3 at Scottish Government, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Analyst (Census 2031) - B3
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Scottish Government, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Scottish Government. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Scottish Government
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Scottish Government!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.