Analytics Engineer

Siemens Healthineers

Analytics Engineer transforming data into trusted insights for Siemens Healthineers. Bridging data engineering and analytics, utilizing technologies like Snowflake and Power BI.

Posted 7/24/2026full-timeRemote • 🇪🇸 SpainMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in building scalable data models and automated data pipelines using Snowflake and Power BI, while ensuring data governance and quality. Strong ability to collaborate with cross-functional teams to deliver actionable insights and support self-service analytics.

Highest-signal resume keywords

SQLSnowflakePower BIData Pipeline DevelopmentData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Analytics EngineeringData EngineeringBI DevelopmentSemantic ModelingData TransformationsData Quality ProcessesFact and Dimension ModelingTesting FrameworksVersion ControlAI and Automation

Soft Skills

CommunicationCollaboration

Tools & Technologies

SnowflakePower BIDbtAI-Enabled Analytics Platforms

Industry Keywords

Data GovernanceSelf-Service AnalyticsAutomated Data PipelinesTrusted DatasetsStandardized KPIs

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Help transform data into trusted insights that drive business decisions
Bridge the gap between data engineering and analytics
Build scalable data models, semantic layers, and automated data pipelines that power reporting and dashboards
Work with modern technologies including Snowflake, Power BI, dbt and AI-enabled analytics platforms
Create a single source of truth for the business
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

Professional development opportunities
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