Data and Business Intelligence Analyst (Remote)

Siemens Healthineers is a leader in medical technology, dedicated to pioneering breakthroughs in healthcare for everyone, everywhere. They are seeking a Data and Business Intelligence Analyst to manage analytics and dashboard deliverables, collaborate with stakeholders, and ensure data quality and documentation in support of their mission.

Responsibilities:

• Managing the full lifecycle of analytics and dashboard deliverables, from requirements gathering through development, validation, documentation, and ongoing maintenance
• Partnering with business stakeholders to gather, clarify, and document reporting requirements in a consultative manner
• Designing and managing data models within Qlik, including understanding how tables relate, join keys, and the impact of data structure on output accuracy
• Identifying and documenting data sources, joins, transformations, and the logic behind key calculations for each deliverable
• Validating source data quality and structure before building, not assuming upstream data is ready for use
• Maintaining centralized documentation covering requirements, data lineage, business rules, access, and update history
• Performing quality assurance to confirm that report outputs align with documented requirements and business expectations
• Providing proactive status updates on active work and maintaining a current view of the overall analytics portfolio
• Collaborating with data engineers, process owners, finance, IT, and other stakeholders to resolve data quality and delivery issues
• Contributing to achieving the vision, mission, and values of Siemens Healthineers

Requirements:

• BS/BA degree in Information Systems, Data Analytics, Business Intelligence, Computer Science, or a related field — or equivalent experience
• 2+ years of experience in a business intelligence, data analytics, or reporting role
• Proficiency with Qlik (Qlik Sense and/or QlikView) is required, including data modeling, set analysis, and dashboard development
• Understanding of relational data concepts including primary/foreign keys, table grain, and table relationships
• Ability to evaluate and troubleshoot data model integrity
• Experience working with raw or semi-structured data sources, not solely pre-processed datasets
• Demonstrated ability to gather business requirements and translate them into functional reporting solutions
• Strong attention to detail, organizational skills, and commitment to documentation quality
• Effective written and verbal communication skills, including the ability to present data concepts to non-technical audiences
• Self-starter with high initiative, ownership mentality, and ability to work independently with limited supervision
• Ability to manage multiple deliverables and priorities simultaneously
• 15% travel required
• Comfortable working with data at all stages of readiness, from raw source files to structured data models
• Working in matrixed or cross-functional team environments
• Healthcare, manufacturing, or other regulated industry analytics experience
• SQL or data querying tools for data preparation and validation
• Familiarity with additional BI platforms (e.g., Power BI)