Back to jobs

Senior Data Intelligence Analyst – Microsoft Fabric, Power BI & AI

futureproofRemote (United States)Posted 1w ago
Business Analyst
Contractor
Remote
Craft my tailored resume free

Free to start · No card

Job description

This is a remote position.

Our client, a European leader in reproductive medicine, is looking for aSenior Data Intelligence Analystto transform complex clinical, operational and commercial data into trusted metrics, actionable insights and production-ready analytical products.

This is a senior, hands-on role combiningPower 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 towardsMicrosoft Fabric and AI-augmented analytics, helping create a reliable semantic foundation for dashboards, self-service analytics and AI-enabled data interaction.

Responsibilities
  • 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.

Preferred experience
  • 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.

Originally posted on Himalayas

Prepare your application

Use the description above to assess your fit for futureproof. This checklist is guidance from Resumize, rather than additional requirements from the employer. Imported listings can be shortened or change after collection, so confirm the complete description and current availability before sending an application.

Match requirements to evidence

Identify the responsibilities and skills the employer explicitly names. For each important requirement, choose one example from your work, education, training, or projects. Explain what you did, how you did it, and what changed as a result. Include a measurable outcome when you can support it. If you lack a requirement, describe related experience accurately instead of adding an unfamiliar skill to your resume.

Put the most relevant examples near the top of your resume. Keep job titles, dates, qualifications, and contact details consistent across your application materials. Use the employer’s terminology when it describes your experience accurately; a copied list of keywords does not explain your contribution. A short, specific bullet is easier to review than a paragraph that mixes several unrelated duties.

Check the working arrangement

Confirm the location, schedule, employment type, and any eligibility requirements on the employer’s site. A remote label does not establish worldwide eligibility or flexible hours. If compensation, benefits, equipment, travel, or contract duration are missing from this listing, write down your questions for the recruiter. Do not assume details from another opening at the same company apply to this role.

Review before submitting

Follow the employer’s requested file format and application instructions. Open your exported resume and check that its text is selectable, its sections read in order, and its links work. Proofread names, dates, and contact information. Share confidential work samples only when you have permission, and use an anonymized example when necessary.

Submit through a trusted employer or recruiting destination. If the original listing has disappeared, search the employer’s careers page for the title rather than assuming the vacancy remains open. Save the application date, job reference, and the version of your resume you sent. Those details help you prepare for a later conversation and avoid submitting conflicting information through several job boards.

Review your resume for writing and readability feedback, or browse other openings if this opportunity is unavailable.