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Data & AI Analyst

Avanade
London, GBR
Onsite
Discovered 3 weeks ago
Business analysisRequirements definitionStakeholder engagementUse-case developmentData product managementSource-system analysis

Full Job Posting

Role overview

The Data & AI practice role combines business analysis and data product management to shape and deliver client use cases across analytics, AI and modern data platforms.

The analyst helps define data-driven products and solutions that are client-centric and deliver measurable outcomes.

What you’ll do

  • Partner with clients to translate business problems, opportunities and priorities into data, analytics and AI use cases.
  • Define scope, success measures, roadmaps and requirements for data-driven solutions.
  • Assess source systems, APIs and data feeds for quality, structure and analytics or AI suitability.
  • Design analytics data models, including dimensional models and star schemas.
  • Create source-to-target mappings, business rules and transformation logic for delivery.
  • Work with data engineers, architects and AI specialists to support implementation.
  • Bridge business and technology stakeholders as a trusted advisor.
  • Evolve data products using feedback and changing business needs.

Skills and experience

  • Experience as a Data Analyst, Business Analyst or Analytics Consultant in data, analytics or AI programmes.
  • Strong business analysis skills covering requirements, stakeholder engagement and use-case development.
  • Experience with source systems, APIs and data integrations; understanding of operational data for analytics.
  • Knowledge of dimensional modelling and star schemas, plus hands-on source-to-target mapping.
  • Understanding of modern data platforms and analytics architectures, ideally Microsoft or cloud ecosystems.
  • Ability to communicate complex data concepts to non-technical audiences.
  • Python, SQL, Power BI, Databricks and Microsoft Fabric experience is advantageous.

About you

  • Curious and analytical, client-centric, collaborative and focused on outcomes and measurable impact.
  • Comfortable with ambiguity, evolving requirements and complex stakeholder groups.
  • Able to engage senior business stakeholders and technology teams, balance rigour with pace, and keep learning about data and AI.

Career and development

  • Avanade offers at least 80 hours per year for learning, certifications and professional development.
  • The role provides access to global Data & AI communities, accelerators and subject-matter experts.
  • Career progression is supported across Consultant and Senior Consultant levels.

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