Data Analyst Job in London, UK - UK-based Applicants Preferred

UK-based applicants - this role does not advertise visa sponsorship. Right-to-work in the UK is preferred. Foreigners may still enquire with the employer.

This 6-month Fixed-Term Contract for a Data Analyst at CI&T in London, UK, offers an exciting opportunity for tech professionals. It is ideal for UK-based applicants who already possess the right to work, though foreign applicants are encouraged to enquire directly with the employer regarding their eligibility. The role comes with a competitive salary of £55,099.97.

Job Description

At CI&T, you will be instrumental in helping large enterprises harness the power of AI, transforming its potential into tangible business impact. Your work will focus on AI Deployment, AI-native execution, and integrating tech solutions with business strategies.

With CI&T's extensive 30-year track record in technological transformation, you'll contribute to accelerating innovation through expertise in Agentic SDLC, Application modernization, Data & AI, Martech, and Business strategy. You'll join a global team of 8,000 CI&Ters across more than 25 countries, collaborating to build solutions that deliver real impact, where AI is already deeply embedded in the company's operational framework.

Requirements

• Proven experience as a Data Analyst, preferably within a tech or AI-focused environment.
• Strong analytical skills with the ability to interpret complex datasets and provide actionable insights.
• Familiarity with AI Deployment, Data & AI, and Application modernization concepts.
• Excellent communication and collaboration skills to work effectively within a global team.
• Ability to thrive in a fast-paced, innovative environment.
• Applicants must have existing right-to-work in the UK or be a UK-based applicant.

Benefits

• Work with a global team across more than 25 countries.
• Opportunity to contribute to real business impact through AI and technological transformation.
• Engage with cutting-edge AI-native execution and Agentic SDLC.
• Competitive salary for a 6-month fixed-term contract.
• Be part of a company with 30 years of experience in the tech industry.

How to Prepare

For Nigerian and African immigrants targeting this Data Analyst role in the UK, it's crucial to present your expertise in a manner that resonates with UK employers. Emphasise any experience with AI deployment, data analytics, or application modernisation, ensuring your CV highlights quantifiable achievements and technical proficiencies relevant to the tech sector.

Focus on tailoring your LinkedIn profile to showcase your skills and experience in data and AI, aligning it with UK industry standards. While this role prefers UK-based applicants with existing right-to-work, if you are a foreign applicant, clearly articulate your transferable skills and any UK recognised credentials that demonstrate your capacity to hit the ground running.

• Ensure your CV is polished, concise, and formatted to UK standards, with a strong emphasis on your data analysis and AI-related projects.
• Optimise your LinkedIn profile to reflect your expertise in Data & AI, connecting with professionals in the UK tech industry.
• Prepare a compelling cover letter that directly addresses the job description, highlighting your specific contributions to past tech projects.
• Be ready to discuss your understanding of UK data regulations and industry best practices during an interview.
• If you don't have existing right-to-work, be prepared to clearly and confidently state your current immigration status and what steps you are taking to secure UK work authorisation, should the employer be open to it.

Visa Sponsorship & Foreigner Eligibility

Visa sponsorship is NOT explicitly advertised for this Data Analyst role. The company prefers UK-based applicants who already possess the right to work in the UK. Foreign applicants without existing UK right-to-work may still apply, but it is strongly recommended to confirm your eligibility and discuss your visa status directly with CI&T during the application process.