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: 80+ hours of learning, global community access, and clear career progression.
- Other info: Diverse and inclusive workplace focused on continuous learning and development.
- 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 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 professional development opportunities, including dedicated learning hours and the chance to engage with global experts in cutting-edge technologies. Our commitment to diversity and inclusion ensures that every employee feels valued and empowered to drive meaningful change through data.
Contact Details:
3004 Avanade UK Limited Company Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the Data & AI field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨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. Practising how to explain complex concepts simply will make you stand out as a candidate.
✨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 & AI Analyst
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 it to solve business problems in the past. This will show us that you’re not just about numbers, but about understanding the story behind the data.
Tailor Your Application:Don’t just send a generic CV and cover letter. Take the time to tailor your application to the Data & AI Analyst role. Use keywords from the job description and demonstrate how your experience aligns with what we’re looking for. It’ll make a big difference!
Be Clear and Concise:When writing your application, clarity is key. We want to see your skills and experiences without wading through unnecessary fluff. Keep your sentences straightforward and focus on the impact of your work. Remember, we’re looking for measurable outcomes!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at 3004 Avanade UK Limited Company
✨Know Your Data
Before the interview, brush up on your knowledge of data modelling, especially dimensional models and star schemas. Be ready to discuss how you've applied these concepts in past projects, as this will show your technical expertise and understanding of analytics.
✨Understand the Business
Make sure you can articulate how data and AI can solve business problems. Research the company’s industry and think about potential use cases that could drive value. This will demonstrate your client-centric approach and ability to translate business needs into data solutions.
✨Engage with Stakeholders
Prepare examples of how you've successfully engaged with both business and technology stakeholders in previous roles. Highlight your communication skills and ability to act as a translator between technical and non-technical teams, which is crucial for this role.
✨Show Your Curiosity
During the interview, express your passion for learning and staying current with emerging data trends. Share any recent projects or courses you've undertaken related to data and AI, as this will reflect your commitment to continuous improvement and innovation.
