At a Glance
- Tasks: Analyse data to enhance insights and drive decision-making across Inspired Education.
- Company: Join a leading global group of premium schools with a commitment to excellence.
- Benefits: Competitive salary, professional development, and a supportive work environment.
- Other info: Be part of a dynamic team focused on innovation and growth in education.
- Why this job: Make a real impact on education by leveraging data to improve student experiences.
- Qualifications: 3+ years in data analytics, expert SQL skills, and experience with Power BI.
The predicted salary is between 45000 - 55000 £ per year.
Inspired Education is the leading global group of premium schools, with a portfolio of 126 premium private schools in 28 countries spanning 6 continents which utilise proven educational practices from every corner of the globe, ensuring over 95,000 students receive a world‑class learning experience from Kindergarten to Year 13. Founded in 2013 by Nadim M. Nsouli, Inspired is backed by investors such as Stonepeak, GIC, TA Associates, and the Oppenheimer and Mansour family offices. The Group is experiencing 20% per annum growth through acquisition, greenfield site expansion, and the development of existing schools within its portfolio. In 2023, Inspired was recognised by Beauhurst as one of the UK's top 10 highest-value private companies.
ROLE SUMMARY: Reporting into the Head of Data & Analytics, the Senior Data Analyst is a key member of the team focused on delivering and enhancing the data & insights solutions across Inspired Education Group. The role designs and implements complex data mappings, transformations, ETL processes and data validations, and creates data flow processes, automations, data analysis, data models and ad hoc reporting. It identifies opportunities to drive incremental revenue that impact the customer journey and improves measurement and reporting across all enrolment and marketing functions. Working across SQL, Python, PowerBI, AI assistants and MS Office tools, the team is responsible for driving data driven decision making across Marketing and the wider organisation. The ideal candidate is self‑motivated and results‑oriented, with strong analytical aptitude and problem‑solving skills, builds relationships with internal and external stakeholders, and translates their requirements into data solutions.
KEY RESPONSIBILITIES:
- Data Analysis and Data Quality: Own data quality, analysis and forecasting across school systems, supporting enrolment, recruitment and planning. Partner with Data, Admissions, Finance and Engineering teams to maintain accurate, accessible and reliable data.
- Marketing and Customer Insight: Provide data‑driven insights and Power BI reporting to improve customer acquisition and marketing performance. Develop analytics capabilities across customer journeys, digital performance and attribution.
- Academic Data, KPIs and Governance: Support the management of academic KPIs, governance standards and reporting consistency across the global school network. Deliver analysis, data modelling and system integrations to enhance educational performance reporting.
- Reporting and Benchmarking: Build Power BI dashboards and executive reporting that provide clear visibility of academic performance and trends. Combine multiple data sources to support evidence‑based decision‑making across the Group.
- Stakeholder Communication and Partnership: Work closely with school, regional and functional teams to improve reporting, systems and data capabilities. Train and support users, translating complex data into clear, actionable recommendations.
THE IDEAL CANDIDATE WILL HAVE:
- Essential: 3+ years in a data analytics role. SQL: expert knowledge and practical experience with de‑normalisation, time series and materialised views. Experience of working in a large, matrix organisation. Data visualisation with Power BI, DAX and Azure Analysis Services, considering access control, filtering and data protection segmentation aligned with GDPR. Code or no‑code ETL background, including data cleansing, data integrity and troubleshooting. Strong understanding of data modelling, data governance and master data management principles, applied to enterprise and academic reporting.
- Desirable: Experience of implementing or integrating education systems, student information systems or assessment platforms. Experience with Microsoft Fabric, Databricks, Azure Data Services or modern cloud data platforms. Understanding of IB, A-Level, GCSE, AP or other international curriculum assessment frameworks.
SAFEGUARDING STATEMENT: Inspired Education Group is committed to safeguarding and promoting the welfare of children and young people and expects all staff, volunteers and other third parties to share this commitment. Safer recruitment practices and pre‑employment background checks will be undertaken before any appointment is confirmed.
Senior Data Analyst employer: Inspired Education Group
Inspired Education Group is an exceptional employer, offering a vibrant work culture where innovation and collaboration thrive. As part of a new world-class school in Olympia, London, employees benefit from professional growth opportunities, a supportive team environment, and the chance to make a meaningful impact on students' lives. With a focus on personal development and a commitment to excellence, this role provides a unique opportunity to contribute to the foundation of an inspiring educational institution.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨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 Inspired Education Group!
✨Show Off Your Projects
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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 Inspired Education Group.
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We think you need these skills to ace Senior Data Analyst
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 Inspired Education Group, 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 Inspired Education Group. 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 Inspired Education Group
✨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 Inspired Education Group!
✨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.
