At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
We're looking for a Data Business Analyst to join CI&T on a 6 month contract, this role will require you to be in Manchester, 3 days a week on client site.
Key Responsibilities
Required Skills & Experience
Desirable Experience
Skills Required
- Proven experience working as a Business Analyst within data-focused projects.
- Experience working alongside Product Managers or within product-led delivery teams.
- Strong stakeholder management and communication skills.
- Demonstrated ability to gather, analyse, and document business requirements.
- Experience writing high-quality user stories and acceptance criteria.
- Familiarity with Agile delivery methodologies.
- Working knowledge of SQL, including the ability to query and analyse data.
- Strong analytical and problem-solving skills.
- Able to attend client site in Manchester 3 days per week.
- Experience working with data warehouses, reporting platforms, or analytics solutions.
- Familiarity with Jira, Confluence, or similar tools.
- Experience supporting digital product development and enhancement initiatives.
- Understanding of data governance and data quality principles.
- Experience in the financial sector.
What We Do
CI&T is your end-to-end digital transformation partner. As a digital native, we bring a 27-year track record of accelerating business impact through complete and scalable digital solutions. With a global presence of 6,000+ professionals in strategy, research, data science, design and engineering, we unlock top-line growth, improve customer experience and drive operational efficiency.
