At a Glance
- Tasks: Manage and analyse school data to support student achievement and effective administration.
- Company: Join a vibrant school community focused on academic excellence and personal development.
- Benefits: Flexible working hours, competitive pay, and opportunities for professional growth.
- Other info: Enjoy a supportive environment with a commitment to safeguarding and student welfare.
- Why this job: Make a real impact on students' educational journeys through data management.
- Qualifications: Experience with data management systems and strong analytical skills.
The predicted salary is between 30000 - 40000 £ per year.
Flexible working schedule. Competitive rates to be discussed upon application.
Responsibilities
- To manage all planning and administration related to Assessment and Achievement Data.
- To be responsible for the continuous development of the school’s Management Information System (MIS) to ensure the effective use of data within the school.
- To be responsible for managing information related to all school assessments, in consultation with the Senior Leadership Team.
- To be responsible for the maintenance of accurate and up-to-date data relating to students on the main school database.
- To work with the Examinations Officer for the processing of exam results and to produce statistics for internal monitoring purposes and for publication to parents as required by the Government, the Governors, the Trust, Local Authority and the Department for Education.
- To organise the administration of the School’s DFES data returns as well as performance checking.
- To collect, collate and effectively disseminate data that tracks a student’s progress throughout the school (SISRA/FFT Aspire/ALPS).
- To be responsible for the analysis of student data relating to examinations, behaviour, attendance, assessment, timetabling, options, rewards and exclusions.
- To be responsible for the setting up of the new academic year and the transfer of the timetable so that all day-to-day administration is effective.
- To advise and recommend on the effective use of the school MIS.
- To develop effective methods of sharing relevant data with teachers, students and students’ parents and carers.
- To assist with the data transfer of all new student admissions.
- To co‑ordinate information on the school’s MIS to ensure that all statutory returns are completed accurately and efficiently.
- To liaise with service providers to ensure that the MIS system meets the school’s needs.
- To work with the Senior Leadership Team to assist with specific areas of responsibility.
- To assist with development and support of colleagues in the use of the MIS and other relevant software packages.
Other Information
Flexible working during the school holiday periods is granted with the exception of Results Download days, Exam result weeks for GCSE and Post 16 and any other key dates in negotiation with Line Manager and Principal. These above‑mentioned duties are neither exclusive nor exhaustive; the post‑holder may be required to carry out other duties as required by the Trust.
About the school
The school is a vibrant and inclusive learning community committed to providing a high‑quality education within a supportive and nurturing environment. With a strong emphasis on academic excellence, personal development, and pastoral care, it encourages every student to achieve their full potential and become confident, responsible members of society. The curriculum is broad, balanced, and designed to inspire a love of learning while equipping students with the knowledge, skills, and qualifications needed for future success. Alongside academic achievement, the school places great importance on character development, fostering values such as respect, resilience, integrity, and compassion. Students benefit from a wide range of extracurricular opportunities, including sports, performing arts, leadership programmes, and community engagement activities, enabling them to develop their talents and interests beyond the classroom. Dedicated staff work closely with students and families to create a positive and ambitious culture where all learners feel valued, supported, and challenged.
Employer Information
Connex Education Partnership is committed to safeguarding and promoting the welfare of children and young people and expects all staff and candidates to share this commitment. We adhere to Safer Recruitment practices in line with Keeping Children Safe in Education (KCSIE), Working Together to Safeguard Children 2023, and other relevant legislation. All appointments are subject to rigorous pre‑employment checks, including references and an enhanced DBS check.
Data Manager employer: Connex Education
Connex Education Partnership is an exceptional employer, offering a flexible working schedule and competitive rates for the Data Manager role in Derby. The school fosters a vibrant and inclusive culture, prioritising academic excellence and personal development while providing ample opportunities for professional growth and collaboration with dedicated staff. Employees benefit from a supportive environment that values their contributions and encourages a balanced work-life approach, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Manager
✨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 Connex Education!
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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 Connex Education.
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We think you need these skills to ace Data Manager
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 Connex Education, 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 Connex Education. 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 Connex Education
✨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 Connex Education!
✨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.
