Healthcare Analytics Lead: Snowflake & Qlik Expert

563d Siemens Medical Solutions USA, Inc.; United States; Sur place; USD 94 000 - 130 000; Plein temps

Avantages offerts par ce poste

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

Life insurance

Long-term and short-term disability

Paid parking/public transportation

Paid time off

Paid sick time

Résumé du poste

Siemens Healthineers seeks an Informatics Analyst to support operational‑improvement initiatives across health systems. You will analyze healthcare data and workflows, design and maintain Snowflake structures, and optimize data for visualization in Qlik, collaborating with consultants, customers, and technical teams to deliver high‑quality analytics solutions.

The role emphasizes developing reusable analytics assets, KPIs, and robust documentation, with travel up to 10% and collaboration across

Qualifications

• Bachelor's degree in data analytics, computer science, health informatics, or a related field.
• 3+ years of experience in data analytics, database management, data engineering, or BI in a Healthcare arena required.
• Intermediate‑to‑advanced skills in at least one technical discipline such as BI development, SQL, data engineering, or data science.
• Strong SQL capability applied to data organization, architecture, and reporting optimization.
• Hands‑on experience developing or supporting BI solutions, preferably with Qlik.
• Experience with cloud‑based data platforms; Snowflake experience preferred.
• Experience with data cleaning, transformation, integration, quality assurance, and technical documentation.
• Ability to communicate analytical findings to non‑technical audiences.
• Willingness to travel up to 10%.

Responsabilités

• Analyze healthcare data and customer workflows, considering related processes and results to support effective team solutions.
• Support the design and maintenance of database structures in Snowflake, including data models, integration processes, performance, data quality, and maintainability.
• Transform and optimize data for efficient visualization and analysis in Qlik, following established performance, usability, governance, and business requirements.
• Develop and enhance analytics tools, reusable data assets, visualizations, and KPIs in collaboration with clinical consultants, customers, and technical resources.
• Apply intermediate‑to‑proficient skills in at least one technical discipline—such as business intelligence, SQL, data engineering, or data science—to resolve assigned issues that may differ in size and nature.
• Use analytical skills and sound judgment to investigate data issues, identify practical solutions, and contribute to improvements in existing processes and approaches.
• Partner with customers and project team members to define and acquire required data, including data sourced from Epic and other electronic health record systems.
• Manage assigned datasets and databases across customer projects, supporting data quality, traceability, security, and reliable delivery.
• Document solutions, share technical knowledge, participate in peer reviews, and collaborate with team members to achieve project goals.
• Monitor assigned work, communicate progress and risks, and contribute to measurable team and customer results.
• Work closely with local and global Siemens teams, including direct interaction with clients and support for pre‑sales activities as needed.

Connaissances

Qlik BI

SQL

Data architecture

Reporting optimization

Technical communication

Collaboration

Continuous learning

Formation

Bachelor's degree in data analytics/CS/health informatics

Outils

Snowflake

Qlik

Epic

Description du poste

Siemens Healthineers seeks an Informatics Analyst to support operational‑improvement initiatives across health systems. You will analyze healthcare data and workflows, design and maintain Snowflake structures, and optimize data for visualization in Qlik, collaborating with consultants, customers, and technical teams to deliver high‑quality analytics solutions.

The role emphasizes developing reusable analytics assets, KPIs, and robust documentation, with travel up to 10% and collaboration across