At a Glance
- Tasks: Transform data into insights and drive impactful AI solutions for clients.
- Company: Join a forward-thinking team at Avanade, where innovation meets collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on continuous learning and emerging trends.
- Why this job: Make a real difference by shaping data-driven products that deliver measurable outcomes.
- Qualifications: Experience in data analysis and strong communication skills are essential.
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 are 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 are 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 would love to talk. Together we do what matters. This role is ideal for analytically minded professionals who are curious, collaborative, and motivated by driving meaningful change through data.
As a member of Avanade's Data & AI practice, you will 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 will play a critical role in shaping data driven products and solutions, ensuring they are well defined, client centric, and deliver measurable outcomes.
Responsibilities
- 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.
Qualifications
- 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.
Data & AI Analyst in City of Westminster employer: Avanade
At Avanade, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our Data & AI Analysts to thrive. Located in a vibrant tech hub, we offer exceptional growth opportunities through continuous learning and collaboration with industry experts, ensuring you stay at the forefront of data innovation. Join us to make a meaningful impact by transforming data into actionable insights while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Analyst in City of Westminster
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Avanade!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data & AI Analyst at Avanade.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Avanade.
✨Apply Directly through Our Website
When you find a suitable opening like Data & AI Analyst at Avanade, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data & AI Analyst in City of Westminster
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Avanade, 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 Avanade. 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 Avanade
✨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!
✨Showcase Your Projects
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 Avanade!
✨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.
