Data and AI Analyst in London

Data and AI Analyst in London

London Full-Time 40000 - 50000 ÂŁ / year (est.) Home office (partial)
Avanade

At a Glance

  • 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 focused on diversity, inclusion, and continuous learning.
  • 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:

  • 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.

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 London employer: Avanade

At Avanade, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation. As a Data and 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 cutting-edge projects. Our commitment to diversity and inclusion ensures that every employee feels valued and empowered, making Avanade a truly rewarding place to advance your career in the heart of technology.
Avanade

Contact Detail:

Avanade Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data and 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 you might not find on job boards.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data projects, analyses, and any cool AI use cases 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 your business analysis and data product management knowledge. Be ready to discuss how you can translate business needs into 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 about their job search.

We think you need these skills to ace Data and AI Analyst in London

Business Analysis
Data Product Management
Data Modelling
Dimensional Modelling
Star Schemas
Source-to-Target Mappings
Data Quality Assessment
API Analysis
Stakeholder Engagement
Use-Case Development
Communication Skills
Python
SQL
Power BI
Databricks

Some tips for your application 🫡

Show Your Curiosity: We want to see your passion for data and AI! In your application, highlight any projects or experiences that showcase your curiosity and analytical mindset. Let us know how you've tackled complex problems and what insights you gained.

Tailor Your Application: Make sure to customise your CV and cover letter to reflect the skills and experiences mentioned in the job description. We love seeing candidates who can connect their background with our needs, especially in business analysis and data product management.

Be Clear and Concise: When describing your experiences, keep it straightforward. Use clear language to explain your role in past projects, focusing on outcomes and measurable impacts. We appreciate candidates who can communicate complex ideas simply!

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at Avanade!

How to prepare for a job interview at Avanade

✨Know Your Data Inside Out

Before the interview, dive deep into your past experiences with data analysis and AI projects. Be ready to discuss specific use cases you've worked on, how you approached them, and the outcomes. This will show your analytical mindset and ability to translate business needs into data-driven solutions.

✨Master the Art of Communication

Since you'll be engaging with both technical and non-technical stakeholders, practice explaining complex data concepts in simple terms. Use examples from your previous work to illustrate how you’ve successfully communicated insights to clients or team members. This will demonstrate your client-centric approach.

✨Showcase Your Technical Skills

Brush up on the technologies mentioned in the job description, like Python, SQL, and Power BI. Be prepared to discuss how you've used these tools in your previous roles. If possible, bring along a portfolio or examples of your work that highlight your technical capabilities.

✨Prepare Questions for Them

Interviews are a two-way street! Prepare thoughtful questions about their data practices, team dynamics, and how they measure success in data projects. This not only shows your interest in the role but also helps you assess if the company aligns with your career goals.

Data and AI Analyst in London
Avanade
Location: London

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