Data Analyst in London

Data Analyst in London

London Full-Time 40000 - 50000 £ / year (est.) No home office possible
London Academy For Applied Technology

At a Glance

  • Tasks: Analyse data to provide insights that drive decision-making and improve student outcomes.
  • Company: Join the London Academy for Applied Technology, shaping future leaders and innovators.
  • Benefits: Enjoy a competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Be part of a dynamic team with a focus on compliance and data governance.
  • Why this job: Make a real impact by using data to enhance education and operational efficiency.
  • Qualifications: Experience in data analysis and strong communication skills are essential.

The predicted salary is between 40000 - 50000 £ per year.

At London Academy for Applied Technology (LAAT), our mission is to equip learners with practical skills and industry-focused knowledge that bridge the gap between education and employment. We are dedicated to nurturing the next generation of leaders and innovators by delivering high-quality, flexible, and relevant learning experiences.

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.

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.

Requirements:

  • 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 London employer: London Academy For Applied Technology

At the London Academy for Applied Technology, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through continuous professional development opportunities and a supportive environment that encourages creativity and data-driven decision-making. Located in the vibrant city of London, we offer a unique chance to contribute to meaningful educational outcomes while enjoying the benefits of a dynamic urban setting.
London Academy For Applied Technology

Contact Detail:

London Academy For Applied Technology Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst in London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Prepare for interviews by researching the company and practising common questions. We recommend using data from your past experiences to showcase your skills and how they align with the role of a Data Analyst.

✨Tip Number 3

Show off your analytical skills! Bring examples of your work, like dashboards or reports you've created, to demonstrate your ability to provide data-driven insights. This will set you apart from other candidates.

✨Tip Number 4

Apply through our website for the best chance at landing that Data Analyst role. We love seeing applications directly from our platform, and it shows you're genuinely interested in joining our team!

We think you need these skills to ace Data Analyst in London

Data Analysis
Statistical Analysis
Predictive Modelling
Data Visualisation
Excel
SQL
Python
R
Power BI
Tableau
UK GDPR
Data Protection Act 2018
Compliance Audits
Risk Assessments
Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight relevant experience and skills that match the job description, like your proficiency in data analysis tools and your understanding of data governance.

Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of how you've used data to drive decisions or improve outcomes in previous positions.

Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you’ve applied them! Include examples of projects where you collected, cleaned, and analysed data to produce actionable insights.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you receive updates directly from us!

How to prepare for a job interview at London Academy For Applied Technology

✨Know Your Data Tools

Make sure you brush up on your skills with data analysis tools like Excel, SQL, and Python. Be ready to discuss how you've used these tools in past projects, as well as any visualisation software like Power BI or Tableau. Showing that you're comfortable with these technologies will give you a leg up.

✨Understand Data Protection Regulations

Familiarise yourself with UK GDPR, the Data Protection Act 2018, and PECR. Be prepared to discuss how these regulations impact data handling and compliance in educational settings. This knowledge will demonstrate your commitment to data integrity and governance.

✨Prepare for Scenario Questions

Think about potential scenarios you might face as a Data Analyst, such as managing data breaches or conducting Data Protection Impact Assessments (DPIAs). Practising your responses to these situations can help you articulate your problem-solving skills and analytical thinking during the interview.

✨Showcase Your Communication Skills

Since you'll need to communicate complex data insights to non-technical stakeholders, practice explaining your past projects in simple terms. Highlight your ability to influence senior leadership with data-driven recommendations, as this is crucial for the role.

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