• Support the implementation and evolution of Data Governance practices; • Work with business and technology teams to organize, qualify, catalog, and document data assets; • Contribute to initiatives for data quality, traceability, and reliability of information; • Participate in the definition, standardization, and maintenance of processes according to data best practices aligned with DAMA-DMBOK; • Assist in requirements gathering and analysis; • Support the organization’s data-driven transformation and culture journey.

Role Description At Omnicell, we are redefining how data drives smarter healthcare decisions. As a Strategic Data Insights Analyst, you will play a key role in transforming complex commercial and customer data into actionable insights that shape strategy across Sales, Implementation, Customer Success, and Service. You’ll join the Commercial Data Insights & Analytics (CDIA) team—a highly collaborative group partnering across the business to improve customer outcomes and accelerate growth. This is an opportunity to work with diverse datasets, contribute to high-visibility executive reporting, and directly influence how Omnicell understands its customers and markets. What You’ll Do - Deliver high-quality analytics and insights by integrating internal data and external intelligence to inform commercial strategy, customer experience, and executive decision-making. - Analyze commercial performance across multiple domains, including: - Sales pipeline and account-level metrics - Implementation performance and delivery timelines - Installed base analytics and product utilization - Contract renewal rates and retention trends - Deliver customer experience surveys and analysis, including those for Net Promoter Score (NPS) and Customer Satisfaction (CSAT) metrics. - Partner with leadership to evaluate external data sources, integrating vendor datasets (e.g., healthcare market intelligence platforms) to enhance customer and market insights. - Support go-to-market strategy by contributing to: - Market opportunity assessments - Market segmentation and hospital/health system targeting - Market penetration analysis - Help maintain enterprise metric definitions and documentation, ensuring consistency and alignment across analytics and reporting outputs. - Develop executive-ready deliverables, including insight summaries and slide presentations. - Collaborate with Insights Delivery & Enablement to translate analyses into dashboards, reporting tools, and self-service capabilities. - Partner with the Advanced Analytics CoE by preparing data and interpreting outputs from their AI/ML models. Qualifications - Bachelor’s degree in analytics, business, statistics, information systems, economics, or a related field, or equivalent experience. - 2+ years of experience in data analysis, business intelligence, market insights, or commercial analytics. - Proficiency in SQL and/or a statistical programming language (Python or R). - Experience working with structured commercial, sales, or customer datasets. - Familiarity with BI and data visualization tools such as Tableau or Power BI. - Strong analytical and problem-solving skills, with high attention to detail and data accuracy. - Ability to synthesize data into clear, actionable insights and communicate effectively to business stakeholders. - Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment. Preferred Qualifications - Exposure to customer experience analytics, including NPS, CSAT, or customer health scoring. - Experience with survey administration and customer feedback tools. - Familiarity with healthcare or medical device industry data, including hospital or health system datasets. - Experience integrating third-party data (e.g., Definitive Healthcare) into analytical workflows. - Experience working with data from CRM platforms such as Salesforce or Gainsight. - Exposure to cloud-based data platforms such as Databricks, Microsoft Fabric, Snowflake, or similar. Work Conditions - Remote work environment. - Occasional travel for collaboration, team meetings, or business initiatives.

• Perform actuarial analyses to support pricing, reserving, forecasting, and portfolio monitoring for P&C lines of business. • Collaborate with data engineering teams to design and implement **data warehouse (DWH) solutions**, ensuring actuarial data is structured for advanced analytics. • Develop and maintain **data models** to support actuarial processes and reporting. • Conduct experience studies, trend analyses, and exposure analyses using modern data tools. • Support rate filings, model documentation, and regulatory submissions. • Build reports and dashboards that communicate actuarial insights to senior management, underwriting, and risk teams. • Work closely with stakeholders to validate assumptions and ensure alignment with business strategies. • Contribute to modernization efforts by migrating actuarial data from legacy systems to cloud-based platforms. • Stay updated on emerging data technologies, regulatory changes, and best practices in actuarial analytics.

• Proactively use data to identify opportunities to grow our product and business, collaborating across both product squads and business teams (CS, AMs, Ops). • Serve as a strategic sparring partner for Product and Business leaders in Germany, anticipating key questions and applying your analytical and statistical skills to answer them. • Guide decision-making through rigorous analyses, navigate ambiguity, and collaborate across domains when needed. • Support our self-service analytics approach by understanding partners' needs and promoting a data-driven culture. Contribute directly to data models in the data warehouse (using dbt). • Help shape the Data Engineering roadmap to deliver the best experience for colleagues on the data platform.