Okay, I've searched for Decision Support Systems Analyst roles in Kettering, OH, specifically within the healthcare industry, focusing on data analysis and reporting. There are several full-time positions available that match your criteria. Would you like to see the details?

Sure. Here's the analysis:

Job Analysis:

The Decision Support Systems Analyst at Kettering Health is fundamentally responsible for maintaining the integrity and governance of the Enterprise Data Warehouse, which is critical for ensuring that healthcare data is accurate, accessible, and useful for various stakeholders within the organization. This role involves a blend of technical expertise in data management and strong problem-solving skills to conduct routine audits, validate data against source systems, and assist in project implementations. Success in this role demands an ability to communicate effectively with cross-functional teams—particularly Quality, Operations, and Finance—facilitating the training and support of various user groups in the organization. Candidates should prepare to tackle challenges such as ensuring data consistency, managing user expectations and training around data tools, and contributing to the overall quality of healthcare data management. Performance indicators for this role may include the accuracy of reporting solutions, timely completion of audits, and successful implementation of new data initiatives within the first six to twelve months.

Company Analysis:

Kettering Health operates as a nonprofit healthcare system focused on delivering high-quality care across southwest Ohio. This positions the company as a stable player in the healthcare sector, emphasizing community service and patient-centered care—a philosophy that permeates its work culture. Expectedly, the organizational culture is likely to prioritize compassion, teamwork, and ethical practices, reflecting its faith-based mission. The role of the Decision Support Systems Analyst fits within a larger framework where collaboration is vital, as it requires interaction with various departments and stakeholders across the medical group, which consists of over 700 providers. The strategic alignment of this role with Kettering Health's goals appears oriented not just towards operational efficiency but also on enabling better patient outcomes through improved data practices. The company's commitment to training future healthcare professionals at Kettering College adds another layer of holistic value to its mission, suggesting that employees here may thrive in an environment focused on learning and growth.

Absolutely. Here are some mock interview questions that could come up:

• Describe a time when you had to ensure data integrity in a project. What steps did you take to validate the data?
• Can you give an example of how you effectively communicated complex data findings to a non-technical audience?
• Tell me about a time when you managed competing priorities in a project. How did you ensure that all tasks were completed on time?
• Explain your experience with using SQL for data analysis. What kinds of projects have you used it for?
• How do you approach training users on new data reporting tools or systems?
• What strategies do you employ to manage the governance and auditing of a data warehouse?
• Imagine you are tasked with auditing the Enterprise Data Warehouse and find discrepancies in data. How would you approach this situation?
• If given the opportunity to improve one aspect of the data reporting process at Kettering Health, what would it be and why?
• Why do you want to work at Kettering Health, and how does our mission resonate with your personal values?
• How do you see your background fitting within the overall goals of Kettering Health, particularly in the area of patient care and data integrity?
• Could you share an experience where you had to gather requirements and design a reporting solution? What was the process you followed?
• What questions do you have about the data governance practices at Kettering Health?
• How do you stay updated on best practices in data management and healthcare analytics?