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Siemens Healthineers

Analytics Engineer

Siemens Healthineers

Analytics Engineer transforming data into trusted insights driving business decisions within healthcare. Bridging data engineering and analytics with modern technologies like Snowflake and Power BI.

Posted 7/24/2026full-timeRemote • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing analytics-ready data models and semantic layers in Snowflake, along with strong SQL skills and experience in building scalable data transformations. Proficient in creating trusted datasets and standardised KPIs to support self-service analytics and AI-powered reporting capabilities.

Highest-signal resume keywords
Snowflake Data ModelingSQL ProficiencyPower BI Semantic ModelsData Pipeline DevelopmentData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Analytics EngineeringData EngineeringBI DevelopmentData TransformationsData Quality ProcessesFact and Dimension ModellingTesting FrameworksVersion ControlAutomationAdvanced Analytics
Soft Skills
CommunicationCollaboration
Tools & Technologies
Power BISnowflake
Industry Keywords
Data WarehousingData GovernanceSelf-Service AnalyticsAI-Powered ReportingBusiness Intelligence

Tech Stack

Tools & technologies
SQL

About the role

Key responsibilities & impact
  • Design and develop analytics-ready data models and semantic layers in Snowflake
  • Build scalable data transformations and automated data quality processes
  • Create trusted datasets and standardised KPIs that support consistent reporting
  • Partner with Data Engineers, BI Developers and business stakeholders to deliver meaningful insights
  • Drive data governance, documentation and business-friendly data definitions
  • Support self-service analytics and AI-powered reporting capabilities
  • Improve data reliability, performance and automation across the analytics ecosystem

Requirements

What you’ll need
  • Experience in Analytics Engineering, Data Engineering, BI Development or a similar data-focused role
  • Strong SQL skills and hands-on experience with Snowflake
  • Experience building semantic models and analytics solutions in Power BI
  • Understanding of data warehousing concepts, including fact and dimension modelling
  • Experience developing and maintaining data pipelines, transformations and testing frameworks
  • Familiarity with version control and modern data development practices
  • Interest in AI, automation and advanced analytics
  • Strong communication and collaboration skills

Benefits

Comp & perks
  • resources and flexibility to foster professional and personal growth
  • opportunities to collaborate in a diverse environment