At a Glance
- Tasks: Use data to improve outcomes for children with Special Educational Needs and Disabilities.
- Company: Ealing Council, dedicated to transforming SEND services through data.
- Benefits: Full-time role with opportunities for career growth and community impact.
- Other info: Join a supportive team focused on equality and inclusion in the workplace.
- Why this job: Make a real difference in the lives of children while developing your analytical skills.
- Qualifications: Advanced Excel, SQL, Power BI skills; strong analytical and communication abilities.
The predicted salary is between 29700 - 36300 £ per year.
Are you passionate about using data to improve outcomes for children and young people with Special Educational Needs and Disabilities (SEND)? Do you thrive in a high-impact analytical role where your work directly informs strategic decision-making and service transformation? This is an exciting opportunity to help transform SEND services through data and intelligence. You will work closely with senior leaders and partners to improve outcomes for children and young people across Ealing.
Ealing Council have an exciting new opportunity as Performance and Data Analyst (SEND) available on a full time. We are seeking a skilled and motivated Performance and Data Analyst (SEND) to join our Schools Data, Performance and Intelligence team. The post holder will play a key role in supporting SEND services by delivering high-quality insight and ensuring statutory reporting is accurate and timely, including SEN2.
In this role you will also contribute to shaping data systems, supporting SEND reforms, and enabling senior leaders to make informed decisions that improve outcomes for residents. We strive to create communities where everyone can live a long, happy, and healthy life, full of pride and identity. We aim to create an environment where every child can reach their potential and achieve their dreams.
The Performance and Data Analyst (SEND) role:
- Lead statutory returns (including SEN2) ensuring compliance and deadlines are met
- Develop and enhance data systems and reporting frameworks
- Analyze complex datasets to identify trends and inform planning
- Produce high-quality dashboards and reports (e.g. Power BI)
- Provide expert advice on data interpretation and performance
- Support forecasting including specialist school place planning
- Collaborate with services, ICT and partners to improve data systems
- Ensure strong data quality, validation and GDPR compliance
Our ideal Performance and Data Analyst (SEND) will have the below skills and experience:
- Advanced skills in Excel, SQL and Power BI
- Strong analytical and forecasting capability
- Experience working with large datasets
- Excellent communication and presentation skills
- Ability to manage priorities and meet deadlines
- Experience in SEND, education or public sector
Equality and Inclusion: You must have the right to work in the UK. Evidence for the right to work in the UK will be requested at the interview stage.
Ealing council is committed to safeguarding children and vulnerable adults and expects all staff to share this commitment. Ealing follows safer recruitment practices to protect children and vulnerable adults. We therefore welcome applications from all residents of the borough, we particularly welcome applications from candidates who are entering the employment market in the early stages of their career and mid-career professionals, who are currently underrepresented in Ealing’s workforce. Please note all applications will be determined on merit.
Closing date for applications: Wednesday 30 September 2026
Performance and Data Analyst (SEND) in Ealing employer: Ealing Council
Ealing Council is an excellent employer, offering a supportive work culture that values teamwork and community service. As a Dust Cart Driver, you will enjoy stable hours with the potential for full-time employment, alongside opportunities for professional growth within local government services. Working in Ealing not only provides a chance to contribute positively to the community but also ensures a rewarding career path in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Performance and Data Analyst (SEND) in Ealing
✨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 Ealing Council!
✨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 Performance and Data Analyst (SEND) at Ealing Council.
✨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 Ealing Council.
✨Apply Directly through Our Website
When you find a suitable opening like Performance and Data Analyst (SEND) at Ealing Council, 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 Performance and Data Analyst (SEND) in Ealing
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 Ealing Council, 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 Ealing Council. 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 Ealing Council
✨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 Ealing Council!
✨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.
