At a Glance
- Tasks: Collect and analyse data to identify patterns and support operational decisions.
- Company: Join GCHQ, the UK's leading intelligence, cyber, and security agency.
- Benefits: Flexible working hours, training opportunities, and a commitment to diversity.
- Other info: No weekend work; enjoy a supportive and inclusive workplace.
- Why this job: Make a real impact on national security while developing your analytical skills.
- Qualifications: GCSEs in English and Maths at Grade 4/C or above required.
The predicted salary is between 30000 - 40000 £ per year.
Overview
GCHQ is an intelligence, cyber and security agency whose mission is to keep the UK safe.
Working with partners such as MI5 and MI6, we identify, analyse and disrupt threats from terrorism, cyber‑attacks and espionage.
The Intelligence Data Analyst role is at the heart of this mission, gathering information from a wide range of sources—including internet‑connected devices—and using bespoke technology and analytical skills to make sense of it.
Responsibilities
As an Intelligence Data Analyst you will
- Collect and analyse data from diverse sources, at the frontline of real‑world events.
- Use analytical techniques to identify patterns and build insights that support operational decisions.
- Work within a rapidly changing technological environment, where learning and adaptability are essential.
- Working Hours and Location
During the initial nine‑month training period you will commit to full‑time hours, Monday to Friday (37 hours per week).
After training you may adjust your hours through flexitime, part‑time, job‑share or compressed hours.
The role is fully office‑based, and can be based in various locations, including the National Cyber Force in Samlesbury.
Eligibility and Requirements
To apply you must
- Hold a Level 2 (GCSE‑equivalent) qualification in English Language and Maths at Grade 4/C or above.
- Be a British citizen or hold dual nationality with a British component.
- Have normally lived in the UK for seven of the last ten years (if born outside the UK).
- Be at least 17 years old (you will not be offered a start date before your 18th birthday).
- Diversity & Inclusion
We welcome and encourage applications from everyone, particularly those from groups that are under‑represented in our workforce—women, ethnic minorities, people with disabilities or neurodivergent conditions, and individuals from lower socio‑economic backgrounds.
To learn more about our commitment to diversity and inclusion, visit our website.
Additional Information
There are no weekend or shift expectations; rest days are respected. Full eligibility details and complete application guidance are available on our website.
#J-18808-Ljbffr
Intelligence Data Analyst in Cheltenham employer: Tussell Limited
Tussell Limited is an exceptional employer that fosters a collaborative and supportive work culture in the heart of Greater London. With a strong commitment to employee development, we offer numerous growth opportunities for our team members, ensuring they thrive in their careers while managing meaningful claims that impact the public sector. Our focus on integrity and proactive engagement makes Tussell a rewarding place to work for those looking to make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Intelligence Data Analyst in Cheltenham
✨Get in on the Data Science Meetups
Data science is all about community! Join local meetups or workshops related to data science and analytics. It's a fab way to network with industry professionals, learn about the latest trends, and maybe even snag a lead on an upcoming opportunity at companies like Tussell Limited.
✨Show Off Your Projects
As a trainee, showcasing your skills is key. Start a GitHub repository with your projects or analytics problems you've solved. Share them on platforms like Kaggle, and make sure to link them on your LinkedIn. Potential employers, including Tussell Limited, love seeing hands-on experience!
✨Connect with Alumni
Tap into your university's alumni network! Reach out to past graduates who are working in data science roles and see if they'd be willing to chat. They often have great insights into internship openings and can even refer you internally, increasing your chances with companies like Tussell Limited.
✨Find Internships through Portals and Workshops
Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including Tussell Limited, often scout for trainee talent at these events. Plus, applying directly through job portals and company websites can give you an edge!
We think you need these skills to ace Intelligence Data Analyst in Cheltenham
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!
Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so Tussell Limited can see your code and your thought process. Practical experience, even if it's academic, can set you apart!
Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at Tussell Limited and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.
Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!
How to prepare for a job interview at Tussell Limited
✨Show Off Your Data Skills
Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.
✨Prepare for Practical Assessments
Don't be surprised if you're given a case study or data set to analyse during the interview. We should be prepared to demonstrate how we interpret and present data findings — it's a chance to show off our analytical thinking in real time!
✨Highlight Your Passion for Learning
As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells Tussell Limited that we’re eager to grow and develop our skills in this exciting field.
✨Ask Insightful Questions
Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into Tussell Limited’s culture and workflow.