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 per year, career progression, and access to global experts.
- Other info: Collaborative culture with a focus on diversity and inclusion.
- Why this job: Be at the forefront of data-driven change and make a real difference.
- 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. Come join us.
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:
- 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.
A great place to work:
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 & AI Analyst in London employer: Dormont Manufacturing Co
At Avanade, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation. As a Data & AI Analyst, you'll have access to extensive learning opportunities, including 80 hours dedicated to professional development each year, while working alongside industry experts on cutting-edge projects. Our commitment to diversity and inclusion ensures that every employee feels valued and empowered to contribute meaningfully to our mission of transforming data into impactful solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Analyst in London
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We think you need these skills to ace Data & AI Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Dormont Manufacturing Co, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dormont Manufacturing Co. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Dormont Manufacturing Co
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dormont Manufacturing Co!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
