Data Analyst

Siemens

Ballerup

Hybrid

DKK 159,000 - 286,000

Full time

2 days ago

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Benefits offered by this job

Health insurance

Hybrid work model

Global collaboration

Job summary

Siemens EDA is seeking a Data Analyst to build dashboards and data pipelines, turning complex data into actionable insights. You will model data for KPI clarity and partner with global teams to enhance service delivery.

Strong Python/SQL skills and Power BI experience are essential, along with English proficiency and a proactive, collaborative mindset. This role is hybrid and based in a global Siemens environment.

Qualifications

BS/MS plus 5+ years in data analytics, analytics engineering, data science, or similar.
Ability to translate complex data into actionable insights to improve operations.
Knowledge of data warehouses, lakes, marts, and BI platforms.
Excellent English communication across cultures and levels.

Responsibilities

Build, enhance, and maintain dashboards and reports to unlock insights.
Analyze large datasets to uncover trends and patterns.
Design and maintain data pipelines for reliable data flow.
Develop robust data models (star/snowflake) to support metrics.
Collaborate with global teams to improve service delivery and KPIs.
Work with support managers to drive excellence and operational KPIs.
Create interfaces/apps for data access and governance.
Evaluate and adopt modern analytics tools and AI-enabled automation.

Skills

Python

SQL

Dimensional modeling

KPI/metrics design

Data manipulation

Power BI

AI-enabled automation

Cloud data pipelines

Critical thinking

Communication skills

English proficiency

Education

BS/MS in Data Analytics/CS or related field

Tools

Power BI

Snowflake

MS Fabric

ETL tooling

Job description

Siemens EDA is a global technology leader in electronic design automation software. Our software tools enable companies around the world to develop new and highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics in order to deliver better products in the increasingly complex world of chip, board and system design.

Key Responsibilities

Build, enhance, and maintain analytics assets, such as dashboards and reports, to unlock actionable insights that drive operational excellence and business outcomes.
Manipulate and analyze large datasets, to uncover trends and patterns.
Design and maintain data systems and pipelines to enable reliable, automated, and efficient data flow—from ingestion through transformation, storage, and refresh scheduling.
Develop and manage robust data models (star/snowflake schemas, semantic layers) that support complex analytics and consistent metric definitions.
Collaborate with the global customer support team to understand their needs and develop solutions that improve service delivery and customer experience.
Work closely with global and regional support managers to drive excellence and improve operational KPIs.
Build interfaces and apps enabling various uses of our data as well as user management and control.
Continuously evaluate and adopt modern technologies and tools in programming, data analysis, and machine learning to strengthen our data platform and analytics capabilities.

Qualifications

BS/MS plus at least 5 years of relevant work experience (Data Analytics, Analytics Engineering, Data Engineering, Data Science, or similar).
Proven experience in translating complex data into actionable insights and applying those insights to drive operational excellence.
Understanding of data and analytics infrastructures: data lakes, warehouses, data marts, and BI platforms powering business intelligence.
Solid Python and SQL; expert dimensional modeling, data manipulation, and KPI/metric design skills.
Hands-on with Power BI (visualizations, datasets/semantic models, RLS/OLS, workspace/app governance; PBIP and Deployment Pipelines a plus).
AI enthusiast, avid user of AI-based development tools and Copilots, experienced in AI-enabled automation and AI integration.
Familiarity with cloud systems, data pipelines, and orchestration. Ideally, experienced in MS Fabric and Snowflake.
Critical thinking and a problem-solving mindset.
Excellent communication skills, experience communicating across cultures and seniority levels, ability to persuade and drive change.
Advanced knowledge of English; both verbal and written.

Why us?

Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!

Compensation & Benefits

The total cash compensation range for this position is AMD9,039,100 to16,270,300AMD The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the SIEMENS Benefit link.

Diversity & Inclusion

We value equal opportunities and welcome applications from people with disabilities. At Siemens, we believe people who've had real experiences dealing with being different will excel as leaders. Let's foster a culture of creativity and innovation. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Siemens Software. Transform the Everyday.

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#LI-EDA
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Job details

Data Analyst

Job ID

519997

Posted since

27-Aug-2026

Organization

Digital Industries

Field of work

Strategy