At a Glance
- Tasks: Transform data into insights and drive impactful AI solutions for clients.
- Company: Join Avanade, a leader in Data & AI with a collaborative culture.
- Benefits: Competitive salary, 80 hours of learning per year, and global community access.
- Other info: Opportunities for career growth and a commitment to 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 £ 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.
Why work at Avanade:
- 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.
- The chance to work on cutting‑edge initiatives across AI, Agentic AI, analytics, and modern data platforms.
- Clear and supported career progression across Consultant and Senior Consultant levels.
- 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.
Data & AI Analyst in London employer: 3004 Avanade UK Limited Company
At Avanade, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters curiosity and collaboration. As a Data & AI Analyst, you'll have access to extensive learning opportunities, including 80 hours per year dedicated to professional development, while working alongside industry experts on innovative projects that drive meaningful change. Our commitment to diversity and inclusion ensures that every employee feels valued and empowered to contribute their best work in a supportive environment.
Contact Details:
3004 Avanade UK Limited Company Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Analyst in London
✨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 analysis projects, especially those involving AI and analytics. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions and scenarios. Practice explaining complex concepts in simple terms, as you'll need to engage with both techies and business folks.
✨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 about their job search.
We think you need these skills to ace Data & AI Analyst in London
Some tips for your application 🫡
Show Your Curiosity:We love candidates who are naturally curious! Make sure to highlight your analytical mindset and how you've used data to drive meaningful change in previous roles. This will show us that you’re not just about crunching numbers, but about understanding the 'why' behind them.
Tailor Your Application:When applying, take a moment to tailor your CV and cover letter to the Data & AI Analyst role. Use keywords from the job description to demonstrate that you understand what we’re looking for and how your skills align with our needs.
Be Clear and Concise:In your written application, clarity is key! We want to see your ability to communicate complex data concepts simply. Avoid jargon where possible and focus on making your points easy to understand for both technical and non-technical audiences.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values while you’re at it!
How to prepare for a job interview at 3004 Avanade UK Limited Company
✨Know Your Data Inside Out
Before the interview, dive deep into the data concepts mentioned in the job description. Brush up on your knowledge of data modelling, particularly dimensional models and star schemas. Being able to discuss these topics confidently will show that you’re not just familiar with the theory but can apply it practically.
✨Understand the Business Context
Make sure you understand how businesses leverage data for decision-making. Prepare examples of how you've translated business problems into data-driven solutions in the past. This will demonstrate your ability to partner with clients and engage with stakeholders effectively.
✨Showcase Your Technical Skills
Be ready to discuss your experience with tools like Python, SQL, Power BI, and Databricks. If you have any projects or case studies where you used these technologies, bring them up! This will highlight your hands-on experience and technical prowess.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and the role's impact on their business goals. This shows your genuine interest in the position and helps you assess if the company aligns with your career aspirations. Plus, it gives you a chance to engage with your interviewers on a deeper level.
