> Markdown version of [/jobs/ext/4697076-digital-data-analytics-and-ai-analyst](https://www.wearedevelopers.com/jobs/ext/4697076-digital-data-analytics-and-ai-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Digital - Data, Analytics and AI Analyst - **Company:** BDO - **Location:** Manchester, United Kingdom - **Contract:** Internship / Graduate position - **Skills:** Microsoft Excel, Artificial Intelligence, Data Analysis, Data Architecture, Data Governance, Python (Programming Language), Cloud Services, SQL Databases, Web Platforms - **Published:** November 13, 2026 - **Apply:** https://bdouk.wd3.myworkdayjobs.com/BDO_Careers/job/Manchester/Digital---Data--Analytics-and-AI-Analyst_R21671 ## About the Role A data, analytics and AI specialist at Analyst level. This role is ideal for someone with foundational technical skills and an interest in building their experience delivering data-led solutions within consulting or project environments. We are looking for an individual who can work with data, support the development of practical outputs and communicate findings clearly, with guidance from experienced colleagues. Strong problem-solving skills, intellectual curiosity and a willingness to learn are important, with opportunities to develop technical and consulting skills through hands-on project experience., * Some experience working with data, analytics or AI through employment, an internship, placement, academic study or personal projects, with an interest in developing practical delivery skills. * Foundational skills in preparing and analysing datasets using tools such as Excel, SQL, Python or visualisation tools, and an interest in developing experience with cloud data platforms. * Ability to understand business questions and user requirements, and support the development of data models, analyses, dashboards, reports or AI-enabled solutions under guidance. * An attention to detail when checking data and analytical outputs, with the ability to identify and flag anomalies or quality issues, follow testing procedures and document assumptions, methods and results clearly. * Ability to identify patterns in data, explain findings clearly and contribute to evidence-based insights for technical and non-technical audiences. * Ability to work collaboratively in a project team, organise assigned tasks, meet deadlines and contribute to accurate, high-quality deliverables, with support and review from experienced colleagues. * An awareness of, or interest in learning about, modern data architectures, data governance and responsible AI principles, and a willingness to follow relevant quality, security and ethical guidance. * Good written and verbal communication skills, a willingness to ask questions and learn, and the ability to work effectively with clients and colleagues across different specialisms. You'll have people around you to learn from, ask questions and share thoughts with, alongside learning programmes to enhance your skillset and digital platforms to ease your work. All of this helps you succeed in achieving those big (and personal) dreams. ## Description * Support the gathering and documentation of business requirements, working with experienced colleagues to understand appropriate data, analytics or AI approaches and deliverables. * Prepare, cleanse and analyse datasets, and help develop dashboards, reports, analytical models or AI-enabled solutions under guidance. * Follow defined procedures to validate data and solution outputs, document methods and assumptions, and flag quality or performance issues for review. * Help interpret findings and prepare clear, evidence-based insights for clients and project teams, with support from experienced colleagues. * Manage assigned tasks and meet agreed deadlines, collaborating with engineers, analysts, data scientists and other specialists, and seeking support when needed * Follow relevant data governance, security, quality and responsible AI guidance throughout delivery, and build technical and consulting skills through training, feedback and knowledge sharing.