Data Analyst at Siemens (Healthineers Division)

Apply for the Data Analyst role at Siemens in Bengaluru. Scale global business process models, engineer enterprise cloud data warehouses, and build predictive dashboards using SQL, Python, and BI tools.

About the Company: Siemens

Siemens is a global technology powerhouse that seamlessly combines the digital and physical worlds across automation, digitalisation, smart infrastructure, and healthcare solutions. Driven by a commitment to pioneer sustainable innovations that transform everyday, Siemens leverages cutting-edge artificial intelligence (AI), the Internet of Things (IoT), and robust automation architecture to optimise industries worldwide.

This position sits within the Data Science & Analytics Division supporting Siemens Healthineers, a major leader in medical technology and diagnostic solutions. Operating out of the core technology hub in Bengaluru, Karnataka, this world-class analytics team builds scalable data processing infrastructures, unifies global process workflows, and turns millions of operational touchpoints into high-impact business strategy.

About the Role: Data Analyst

Are you a process-minded analyst who loves designing scalable predictive models and connecting regional operations into a unified corporate framework? Siemens is hiring a full-time, permanent Data Analyst to join its digital practice in Bengaluru, Karnataka. This high-impact role is designed for professionals with 3 to 8 years of deep corporate experience who possess a strong blend of data science expertise and a business-oriented mindset.

As a Data Analyst at Siemens, your primary mission is to scale data models from the Zone level to the global Headquarters level. Rather than focusing solely on static reporting, you will solve complex, business-specific questions, fix process transparency gaps, and uncover brand-new commercial opportunities. Working with an enterprise-scale IT ecosystem, you will write custom SQL and Python code to extract data, deploy predictive models, and partner with cross-functional corporate teams to standardize global business workflows.

Key Responsibilities & Scalable Analytics Workflows

• Zone-to-HQ Model Scaling: Lead the strategic uplift and migration of scalable business process models from localized Zone networks into global Headquarters reporting infrastructures.

• Data Engineering & ETL Pipelines: Ingest, clean, and structure messy data from various endpoints across the Siemens IT ecosystem, preparing it for advanced statistical analysis.

• Predictive BI Development: Develop and deploy statistical and predictive models within business intelligence software to forecast trends and guide strategic decisions.

• Process Standardization Alignment: Use data insights to enforce global software templates, optimize standard process workflows, and eliminate operational variations.

• Cross-Functional Collaboration: Partner directly with Sales, Marketing, Service Operations, Order-to-Cash (OTC), and core IT data architects to support enterprise objectives.

• Visual Storytelling & Executive Presentations: Build beautiful, easy-to-understand interactive dashboards that present complex data insights clearly to senior leadership.

• Data Quality Governance: Conduct regular data integrity checks, provide structured feedback to central data governance teams, and discover new internal database requirements.

Candidate Prerequisites & Key Technical Skills

Successful candidates must balance strong programming skills with the clear communication and project management abilities needed to run multi-department initiatives.

Required Experience & Technical Baseline:

• Professional Tenure: Minimum 3+ years of relevant industry experience (position scale accommodates 3 to 8 years of proven domain history).

• Academic Base: Bachelor’s degree in Data Science, Statistics, Computer Science, or a highly quantitative discipline.

• Programming Mastery: Solid, hands-on SQL and Python coding experience with a strong practical understanding of relational databases.

• Infrastructure Familiarity: Deep working knowledge of modern data warehousing concepts, schema logic, and cloud-scale data architectures.

• Core Soft Skills: Excellent verbal and written communication skills paired with a structured approach to technical project management.

Preferred Qualifications (Nice-to-Have):

• Domain Expertise: Direct experience with Siemens Healthineers specific data architectures, focusing particularly on Order-to-Cash (OTC) and Financial (FI) processes.

• Industry Background: Prior experience navigating analytical datasets inside the healthcare provider space or the medical devices industry.

• Professional Certifications: Recognised industry credentials in advanced analytics or business intelligence tools.

Core Position Specifications

• Position Title: Data Analyst

• Hiring Organisation: Siemens (Healthineers Support Sector)

• Corporate Work Location: Bengaluru, Karnataka, India

• Experience Allotment: 3 – 8 Years of core background

• Employment Framework: Full-Time, Permanent corporate assignment

• Functional Department: Data Science & Enterprise Analytics

• Role Category: Business Intelligence & Advanced Analytics