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Job Description:
- Provide timely and effective support for .NET applications and SQL databases in a production environment, ensuring high availability and optimal performance.
- Troubleshoot and resolve technical issues related to application functionality and database queries, collaborating with cross-functional teams to implement robust solutions.
- Monitor application performance and SQL database health, conduct root cause analysis, and contribute to continuous improvement initiatives to enhance system reliability.
- Provide day-to-day support for program operations, ensuring smooth execution and timely delivery of services.
- Troubleshoot and resolve technical issues, process breakdowns, and data quality problems that may arise during program execution.
- Collaborate with offshore teams and client stakeholders to address issues and resolve inquiries.
- Monitor program performance and identify areas for improvement.
- Conduct thorough analysis of existing processes to identify inefficiencies and bottlenecks.
- Document process flows and develop recommendations for optimization.
- Collaborate with data and AI teams to explore opportunities for automation.
- Work with the RPA team to identify repetitive tasks that can be automated.
- Develop automation requirements and collaborate with RPA developers to implement solutions.
- Analyze program data to identify trends, patterns, and areas for improvement.
- Provide insights and recommendations based on data analysis.
- Effectively communicate with stakeholders, both internal and external, to ensure alignment and address concerns.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Strong technical skills, including proficiency in data analysis, SQL, and scripting languages (e.g., .Net, Angular, Python, PowerShell).
- Experience with healthcare data and systems.
- Excellent problem-solving and troubleshooting abilities.
- Strong communication and interpersonal skills.
- Ability to work effectively in a fast-paced, collaborative environment.
- Knowledge of automation tools and methodologies (e.g., RPA, AI, ML).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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