At a Glance
- Tasks: Analyse data to provide insights that drive decision-making and improve student outcomes.
- Company: Join a leading academy focused on governance and compliance in education.
- Benefits: Full-time role with competitive salary and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and innovation.
- Why this job: Make a real impact by ensuring data integrity and supporting educational excellence.
- Qualifications: Experience in data analysis and knowledge of data protection regulations.
The predicted salary is between 40000 - 50000 £ per year.
Role Profile: Data Protection Officer
Location: London Academy for Applied Technology
Department: Governance / Compliance
Reports To: Operation Lead
Employment Type: Full-time
Purpose of the Role: To provide data-driven insights that support decision-making, reporting, and continuous improvement across the institution. The Data Analyst ensures the accuracy, integrity, and actionable use of institutional data.
Key Accountabilities
- Collect, clean, and analyse institutional data, including student records, attendance, academic performance, and operational metrics.
- Produce regular dashboards, reports, and data visualisations for senior leadership and governance committees.
- Identify trends, risks, and opportunities using statistical analysis and predictive modelling.
- Collaborate with academic and administrative teams to ensure data accuracy and alignment with institutional objectives.
- Support compliance and audit requirements by validating data integrity and providing evidence for regulatory submissions.
- Recommend data-driven strategies for improving student outcomes, operational efficiency, and institutional performance.
- Maintain documentation, coding standards, and data governance best practices.
Impact: The Data Analyst role ensures that the Academy can make informed, evidence-based decisions, improve operational efficiency, and maintain high standards of reporting, compliance, and student outcomes.
DPO Role Profile
Role Summary: The Data Protection Officer (DPO) ensures that all personal data relating to students, staff, applicants, and partners is processed lawfully, securely, and transparently in accordance with UK GDPR, Data Protection Act 2018, and OfS regulatory requirements. The DPO provides independent oversight, advises leadership, manages data incidents, and acts as the main contact with the Information Commissioner’s Office (ICO).
Key Responsibilities
- Oversee compliance with UK GDPR, Data Protection Act 2018, PECR, and OfS regulatory requirements.
- Develop and maintain data protection policies, retention schedules, privacy notices, and internal control procedures.
- Maintain the Record of Processing Activities (RoPA) and oversee retention and deletion schedules.
- Provide guidance to departments on lawful bases for processing, data minimisation, and safeguarding sensitive data.
- Lead Data Protection Impact Assessments (DPIAs) and risk assessments.
- Manage data breaches, ensuring assessment, reporting, containment, and lessons learned.
- Deliver training and awareness programs for staff and stakeholders.
- Serve as primary contact for the ICO and support OfS inspections or audits.
- Report compliance, risks, and incidents to Senior Leadership and Governing Body.
Person Specification
- Deep knowledge of UK GDPR, Data Protection Act 2018, PECR, and higher education data governance.
- Experience in DPO, Data Governance, Compliance, or senior information-management roles.
- Proven ability to conduct DPIAs, compliance audits, and risk assessments.
- Strong analytical, documentation, and problem-solving skills.
- Excellent communication skills with the ability to influence senior leadership.
- High integrity, independence, and impartiality.
Skills and Competencies
- Proficiency in data analysis tools (Excel, SQL, Python, R, or equivalent) and visualisation software (Power BI, Tableau, etc.).
- Strong numerical and statistical skills, with attention to detail.
- Ability to interpret complex data and communicate insights clearly to non-technical stakeholders.
- Experience with data governance, privacy compliance, and secure handling of sensitive information.
- Collaborative approach with strong problem-solving and analytical thinking.
Data Analyst in City of London employer: London Academy for Applied Technology
The London Academy for Applied Technology is an exceptional employer, offering a supportive work culture that prioritises work-life balance and professional growth. With a strong commitment to academic excellence, employees benefit from a comprehensive pension scheme and opportunities for ongoing development, making it an ideal place for those looking to make a meaningful impact in higher education.
Contact Details:
London Academy for Applied Technology Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in City of London
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We think you need these skills to ace Data Analyst in City of 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!
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 London Academy for Applied Technology, 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 London Academy for Applied Technology. 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 London Academy for Applied Technology
✨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 London Academy for Applied Technology!
✨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.
