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- Tasks: Transform data into insights and drive impactful AI solutions for clients.
- Company: Join Avanade, a leader in data and AI innovation.
- Benefits: 80+ hours of learning, career progression, and access to global communities.
- Other info: Collaborative culture with a focus on diversity and inclusion.
- Why this job: Make a real difference by shaping data-driven products and solutions.
- Qualifications: Experience in data analysis, business analysis, and strong communication skills.
The predicted salary is between 40000 - 50000 ÂŁ per year.
Our Data & AI team is made up of curious, client‑focused professionals who help organisations turn data into insight, decisions, and action. We’re looking for a Data Analyst who combines strong business analysis capability with data product management skills to shape, define, and deliver high‑value use cases across analytics, AI, and modern data platforms.
If you’re passionate about understanding how businesses work, translating that into well‑defined data and AI use cases, and working closely with both business and technology stakeholders, we’d love to talk. Together we do what matters.
As a member of Avanade’s Data & AI practice, you’ll work at the intersection of business and technology, helping clients unlock value from their data across AI, Agentic AI, data platforms, reporting, and analytics. You’ll play a critical role in shaping data‑driven products and solutions, ensuring they are well‑defined, client‑centric, and deliver measurable outcomes. This role is ideal for analytically minded professionals who are curious, collaborative, and motivated by driving meaningful change through data.
What you’ll do
- Partner with clients to understand business problems, opportunities, and priorities, translating them into clear data, analytics, and AI use cases.
- Combine business analysis and data product thinking to define scope, success measures, roadmaps, and requirements for data‑driven solutions.
- Analyse source systems, APIs, and data feeds, assessing data quality, structure, and suitability for analytics and AI use cases.
- Design and document analytics‑focused data models, including dimensional models and star schemas.
- Produce source‑to‑target mappings, business rules, and transformation logic to support data engineering and analytics delivery.
- Work closely with data engineers, architects, and AI specialists to ensure requirements are well understood and effectively delivered.
- Engage confidently with both business and technology stakeholders, acting as a trusted advisor and translator between worlds.
- Support the evolution of data products over time, incorporating feedback, learning, and changing business needs.
Skills and experience
- Proven experience as a Data Analyst, Business Analyst, or Analytics Consultant within data, analytics, or AI programmes.
- Strong background in business analysis, including requirements definition, stakeholder engagement, and use‑case development.
- Experience analysing source systems, APIs, and data integrations, with an understanding of how operational data is used for analytics.
- Solid knowledge of data modelling for analytics, particularly dimensional modelling and star schemas.
- Hands‑on experience producing source‑to‑target mappings and working with data engineers to support implementation.
- Understanding of modern data platforms and analytics architectures, ideally within Microsoft or cloud‑based ecosystems.
- Excellent communication skills, with the ability to explain complex data concepts to non‑technical audiences.
- Experience with technologies such as Python, SQL, Power BI, Databricks, and Microsoft Fabric is advantageous.
About you
- Naturally curious and analytical, with a strong desire to understand why things work the way they do.
- Passionate about driving change through data, analytics, and AI, not just producing outputs.
- Client‑centric, with a clear focus on outcomes, value, and measurable impact.
- Comfortable working across ambiguity, evolving requirements, and complex stakeholder landscapes.
- Confident engaging with senior business stakeholders and technology teams alike.
- Pragmatic, collaborative, and able to balance rigour with pace.
- Keen to continuously learn, develop, and stay current with emerging data and AI trends.
Enjoy your career
Some of the best things about working at Avanade include the opportunity to work for Microsoft’s Global Alliance Partner of the Year (20 times), a minimum of 80 hours per year dedicated to learning, certifications, and professional development, access to global Data & AI communities, accelerators, and subject‑matter experts, and the chance to work on cutting‑edge initiatives across AI, Agentic AI, analytics, and modern data platforms.
At Avanade, you’ll gain distinctive experiences, limitless learning, and ambitious growth in return for your skills and ideas. We are committed to building a diverse and inclusive culture where everyone feels a strong sense of belonging and is empowered to do their best work. You’ll join a supportive community of collaborators who will mentor, challenge, and learn alongside you — in a company purpose‑built for business‑critical, leading‑edge technology solutions that improve how people work, interact, and live.
We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees.
Data and AI Analyst in England employer: Avanade
Contact Detail:
Avanade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data and AI Analyst in England
✨Tip Number 1
Network like a pro! Reach out to people in the Data & AI field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, analyses, and any cool AI solutions you've worked on. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios and case studies. Be ready to discuss how you’ve tackled real-world problems with data-driven solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Data and AI Analyst in England
Some tips for your application 🫡
Show Your Curiosity: When writing your application, let your curiosity shine through! Share examples of how you've tackled complex data problems and what insights you gained. We love candidates who are eager to learn and explore.
Be Client-Focused: Make sure to highlight your experience in understanding client needs and translating them into actionable data use cases. We want to see how you've made a measurable impact in previous roles, so don't hold back!
Keep It Clear and Concise: While we appreciate detail, clarity is key! Use straightforward language to explain your skills and experiences. Remember, we’re looking for someone who can communicate complex concepts simply, so keep it engaging.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you're keen to join our team!
How to prepare for a job interview at Avanade
✨Know Your Data
Before the interview, brush up on your knowledge of data modelling, particularly dimensional models and star schemas. Be ready to discuss how you've applied these concepts in previous roles, as this will show your analytical mindset and technical expertise.
✨Understand the Business
Familiarise yourself with the business problems and opportunities relevant to the company. Think about how you can translate these into clear data and AI use cases. This will demonstrate your client-centric approach and ability to engage with stakeholders effectively.
✨Showcase Your Communication Skills
Prepare to explain complex data concepts in simple terms. Practice articulating your thoughts clearly, especially when discussing how operational data is used for analytics. This will highlight your ability to act as a trusted advisor between business and technology teams.
✨Be Curious and Collaborative
Exhibit your natural curiosity and willingness to learn during the interview. Share examples of how you've collaborated with data engineers and other stakeholders to deliver successful projects. This will reflect your passion for driving meaningful change through data.