futureproof
Senior Data Intelligence Analyst – Microsoft Fabric, Power BI & AI
Be an Early Applicant
Own end-to-end business intelligence solutions, translating stakeholder requirements into governed KPIs, semantic models, DAX measures, Power BI dashboards and actionable insights. Collaborate with data engineering on data quality and transformations, validate analytical outputs, document models and support the transition to Microsoft Fabric and AI-enabled analytics, including natural-language data interaction.
This is a remote position.
Our client, a European leader in reproductive medicine, is looking for a Senior Data Intelligence Analyst to transform complex clinical, operational and commercial data into trusted metrics, actionable insights and production-ready analytical products.
This is a senior, hands-on role combining Power BI development, semantic data modelling, business analysis and stakeholder collaboration. You will independently own analytical solutions from initial business requirements through data modelling, KPI definition, development, validation and delivery.
You will also contribute to FutureLife’s transition towards Microsoft Fabric and AI-augmented analytics, helping create a reliable semantic foundation for dashboards, self-service analytics and AI-enabled data interaction.
- Gather and analyse requirements from business stakeholders.
- Translate business questions into KPIs, analytical models and reporting solutions.
- Design and maintain business and semantic data models.
- Develop governed measures and calculations using DAX.
- Build dashboards, reports and reusable analytical products in Power BI.
- Perform detailed analysis and translate findings into actionable business insights.
- Validate data, calculations and conclusions with relevant stakeholders.
- Ensure consistent KPI definitions across reports and business functions.
- Independently manage analytical solutions from requirement gathering to production delivery.
- Collaborate with Data Engineering on data availability, structure, quality and transformation requirements.
- Create clear documentation for semantic models, business definitions, KPIs and analytical products.
- Help prepare Power BI semantic models for AI-assisted and natural-language analytics.
- Contribute to the development of scalable and governed BI practices.
Requirements
- Senior experience in Business Intelligence, Data Analytics, Analytics Engineering or a similar field.
- Strong hands-on Power BI development experience.
- Advanced DAX skills.
- Strong SQL skills.
- Strong knowledge of semantic and dimensional data modelling.
- Experience designing fact tables, dimensions, relationships and star schemas.
- Proven experience defining and governing business KPIs.
- Ability to translate complex business requirements into practical analytical solutions.
- Experience owning BI or analytical products end to end.
- Strong data-validation and problem-solving skills.
- Excellent stakeholder-management and communication skills.
- Ability to work independently and challenge unclear or inconsistent business requirements.
- Professional English.
- Microsoft Fabric.
- Fabric Lakehouse and OneLake.
- Power BI Direct Lake.
- Delta tables and medallion architecture.
- Dataflows Gen2 or Fabric Data Pipelines.
- Migration from Snowflake or another analytical platform to Microsoft Fabric.
- Power BI Projects—PBIP.
- Git, version control and CI/CD practices for Power BI.
- AI-augmented analytics or Power BI Copilot.
- Preparing semantic models for natural-language interaction.
- MCP—Model Context Protocol—or comparable AI integration experience.
- Experience with clinical, healthcare, operational or multi-country business data.
Tech Stack
- Power BI
- DAX
- SQL
- Microsoft Fabric
- Semantic models
- Lakehouse / OneLake
- Direct Lake
- Git and PBIP
- AI-enabled analytics
Benefits
- Freelance/B2B contract
- Full-time engagement
- Long-term cooperation
- Fully remote within the European Union.
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Build and maintain Samsara's Cloud Governance Platform across AWS and GCP, focusing on cloud IAM guardrails, automated compliance controls, and software supply-chain security. Implement SAST/DAST and secure CI/CD patterns, design scalable, reliable systems, translate regulatory requirements into automated controls, collaborate cross-functionally, and own components end-to-end while mentoring teammates and shaping the roadmap.
Top Skills:
AWSCi/CdCloud IamDastGCPGoPythonSastTerraform
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead go-to-market execution for Connected Equipment as an overlay specialist, partnering with Account Executives to generate pipeline, architect high-value enterprise deals, drive pilots/trials, inform product roadmap, build scalable sales frameworks, and travel to customer sites to advance solutions and close complex transactions.
.png)
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Owns global hardware fulfillment from order release through shipment confirmation, coordinating 3PLs and regional supplier managers. Monitors performance, resolves order and inventory discrepancies, manages operational controls, validates supplier billing, and improves fulfillment processes. Leads root-cause initiatives, automation, reporting, launch readiness, and warehouse or system transitions while supporting reliable service across global markets.
Top Skills:
DashboardsErpOracleOrder Management SystemsWarehouse Management SystemsWorkflow Automation
What you need to know about the Edinburgh Tech Scene
From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.
