At a Glance
- Tasks: Support data systems and create insightful reports to drive decision-making.
- Company: Join a supportive school environment with a focus on innovation and community.
- Benefits: Enjoy free lunches, sports club access, generous holiday, and professional development funding.
- Other info: Embrace a culture of kindness, resilience, and curiosity while growing your career.
- Why this job: Make a real impact by analysing data and shaping the future of education.
- Qualifications: Experience with data analysis and reporting tools; degree preferred but not essential.
The predicted salary is between 34023 - 37690 £ per year.
The role is full-time, with an annual salary range of £34,023 to £37,690, depending on skills and experience. The position will be based across the Queensferry Road and Ravelston sites.
The purpose of the role is to support the school's data systems and reporting processes, and to develop and maintain reporting tools.
Responsibilities- Support collection, storage and management of data.
- Analyse data to identify trends, patterns and insights.
- Develop and maintain dashboards, reporting tools and data models.
Successful candidates must have experience working with large and complex data sets, and in developing and maintaining reports and dashboards. A degree in a related field plus strong analytical and problem-solving skills are required. Experience with cloud-based data platforms, familiarity with DPIAs, and relevant qualifications in Power BI, SQL or Data Analytics are desirable but not essential.
EligibilityESMS is unable to sponsor international workers for this role. International applicants will therefore be unable to apply for and secure a Skilled Worker visa. Candidates must demonstrate an alternative right to work in the UK.
Benefits- Fee remission from Nursery to S6.
- Free school lunches.
- Free Sports' Club membership, including access to pool and fitness suites.
- 25 days annual holiday leave plus 10 days statutory holiday at Christmas and Easter when schools are closed.
- Paid moving house day.
- Employer pension contributions of up to 8 %.
- Family-friendly policies, including enhanced maternity leave.
- Membership of the ESMS Discount and Benefits Scheme at 130,000 retail and entertainment locations.
- Employee Assistance Service.
- Cycle to work scheme.
- Car leasing salary-sacrifice scheme.
- Annual professional review process.
- Regular salary reviews.
- Funding towards professional qualifications.
We are looking for individuals who embody and promote ESMS values of Kindness, Confidence, Resilience, Integrity, and Curiosity, and who role-model behaviour in line with our school pillars of Ambition, Innovation, and Community.
Data and Reporting Analyst employer: George Watson'S College
St Margaret’s School for Girls is an exceptional employer, offering a supportive and nurturing environment where staff are valued and encouraged to grow. With benefits such as a generous pension scheme, fee remission for staff dependents, and access to an Employee Assistance programme, employees can thrive both personally and professionally. Located in Aberdeen, the school fosters a collaborative work culture that prioritises ambition and progression, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data and Reporting 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 George Watson'S College!
✨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 George Watson'S College.
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When you find a suitable opening like Data and Reporting Analyst at George Watson'S College, 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 Data and Reporting 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 George Watson'S College, 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 George Watson'S College. 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 George Watson'S College
✨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 George Watson'S College!
✨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.
