At a Glance
- Tasks: Analyse SEND data to improve support for children with additional needs.
- Company: Join Lambeth Borough, a vibrant and diverse community in South London.
- Benefits: Competitive salary, career growth, and commitment to diversity and inclusion.
- Other info: Dynamic team environment with a focus on transformation and improvement.
- Why this job: Make a real difference in the lives of vulnerable children through data analysis.
- Qualifications: Experience in data analysis and proficiency in SQL required.
The predicted salary is between 54360 - 57495 £ per year.
Full time/Permanent
PO5: £54,360 pa rising in annual increments to £57,495 pa incl. LW
About Us:
Located in the heart of South London, Lambeth Borough is a vibrant community of over 317,600 residents. Stretching from the dynamic neighbourhood of Streatham in the South to the iconic landmarks of Waterloo in the North, we are proud to be the 9th largest borough in London. Our diversity is our strength, with more than 130 languages spoken, making Lambeth the home of the Windrush generation, London's largest LGBTQ+ community, and a thriving Portuguese-speaking community. With exceptional schools, lush green spaces including Brockwell Park, cultural gems like the Black Cultural Archives, and world-renowned institutions such as St Thomas's Hospital, Lambeth offers an enriching and dynamic environment.
The role sits in the Transformation, Improvement and Performance Team, with a wide variety of roles, supporting improvement across Children, Families and Education. Performance colleagues are strong data analysts, using SQL to draw data from a number of sources and presenting this to non-specialist audiences via a data visualisation tool. This provides a community of practice for excellence in data analysis and review.
About the Role:
This role will support colleagues in the SEND team to better understand the data we have for children who have an Education Health and Care Plan, or children who have additional support in school for their SEND needs. The data is currently in many different formats and systems and needs to be brought together to ensure we have a clear picture of the support we are providing for this vulnerable cohort.
How to Apply:
To be considered for interview, your CV and supporting statement will clearly evidence how you meet the shortlisting criteria on the personal specification marked "A" for application. We operate an anonymised application process, so be sure to remove personal details when uploading your CV or personal statement.
Recruitment Timelines:
Advert close date: 11:59pm on 16th August 2026. You will be required to undertake a Cifas check. Further information about Cifas can be found here.
At Lambeth, we are dedicated to providing quality services and equal opportunities for all. We are committed to safer recruitment and are proud to be a Stonewall diversity champion, a Living Wage Employer, and to guarantee interviews for all disabled candidates who meet the minimum criteria of the role.
SEND Data Analyst in London employer: Lambeth Council
Lambeth Borough is an exceptional employer, offering a vibrant and diverse work environment in the heart of South London. As part of our School Improvement and Monitoring Team, you will have the opportunity to make a meaningful impact on educational outcomes while benefiting from a strong commitment to professional development and innovation. Our supportive culture encourages collaboration and growth, making it an ideal place for passionate individuals dedicated to shaping the future of education.
StudySmarter Expert Advice🤫
We think this is how you could land SEND Data Analyst in London
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We think you need these skills to ace SEND Data Analyst in London
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!
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Craft a Tailored Cover Letter:For a full-time role at Lambeth 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 Lambeth 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 Lambeth 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 Lambeth 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.
