Data Management and Entry Analyst IV

This position is essential for driving master data standards, governance, and integration across supply chain and clinically impacted systems, ensuring accuracy, compliance, timeliness, and operational efficiency while supporting strategic objectives on quality, service, cost optimization and risk mitigation.  The role requires strong analytical capabilities and a technology-forward mindset, leveraging advanced data tools and technologies (e.g., Excel, Power Query, visualization platforms like Power BI or Tableau) and emerging solutions to optimize workflows and uncover insights.  

Key responsibilities include:

- End-to-end data stewardship: Managing, maintaining, and reconciling complex supply chain, financial, and clinical data elements with precision and speed.
- Advanced data analysis: Performing data transformation, validation, and interpretation to identify patterns and actionable insights, using technology to improve efficiency and reduce manual effort.
- Integration and governance: Ensuring seamless synchronization of master data across multiple systems while enforcing standards and compliance to reduce risk.
- Supply chain expertise: Applying knowledge of sourcing, contracting, procurement, and inventory management to ensure accurate master data setup and readiness for transactions across all functions.
- Strategic collaboration: Partnering with cross-functional teams across sourcing, procurement, inventory, finance, IT, and operations to influence decisions, validate configurations, and support business objectives.
- Continuous improvement: Developing dashboards, metrics, and reporting frameworks to monitor data integrity, identify trends, and enable proactive decision-making, while adapting to evolving technologies and industry best practices.
This position requires a curious, problem-solving mindset - someone who can connect the dots across business functions and systems, anticipate impacts, identify risks, resolve issues, and apply solutions to enhance data standards, governance, and operational excellence.

• Promotes learning in others by proactively providing and/or developing information, resources, advice, and expertise with coworkers and members; builds relationships with cross-functional/external stakeholders and customers. Listens to, seeks, and addresses performance feedback; proactively provides actionable feedback to others and to managers. Pursues self-development; creates and executes plans to capitalize on strengths and develop weaknesses; leads by influencing others through technical explanations and examples and provides options and recommendations. Adopts new responsibilities; adapts to and learns from change, challenges, and feedback; demonstrates flexibility in approaches to work; champions change and helps others adapt to new tasks and processes. Facilitates team collaboration to support a business outcome.
• Completes work assignments autonomously and supports business-specific projects by applying expertise in subject area and business knowledge to generate creative solutions; encourages team members to adapt to and follow all procedures and policies. Collaborates cross-functionally and/or externally to achieve effective business decisions; provides recommendations and solves complex problems; escalates high-priority issues or risks, as appropriate; monitors progress and results. Supports the development of work plans to meet business priorities and deadlines; identifies resources to accomplish priorities and deadlines . Identifies, speaks up, and capitalizes on improvement opportunities across teams; uses influence to guide others and engages stakeholders to achieve appropriate solutions.
• Manages overall data process and maintenance by: entering, maintaining, and reconciling data; verifying accuracy of information independently; and responding to moderately complex requests independently for data from various departments to support business processes.
• Contributes to data abstraction by: identifying and capturing key moderately complex administrative and clinical data elements, such as patient data; reviewing medical records to identify moderately complex data required for secondary use; leading the review of regulatory requirements to ensure that changes are integrated correctly (e.g., metric changes); leading the review of information from electronic health records and uploading for use and reduction of abstraction needs; and transferring data as needed for a variety of data transfers.
• Supports or leverages data processing by: conducting somewhat advanced data uploads; coordinating with the team on the verification and organization for a variety of data; and reconciling complex discrepancies between data sources and escalating issues to a supervisor/manager and coordinating with other departments as needed.