Senior Data Analytics Engineer for Healthcare
1 day ago
We are seeking an exceptional Senior Data Analytics Engineer to join our team at Tampa General Hospital. This is a unique opportunity to work in a dynamic environment where you will have the chance to make a tangible difference by harnessing data-driven solutions to address the most critical challenges in healthcare.
Job SummaryAs a Senior Data Analytics Engineer, you will be responsible for working directly with customers to solve complex problems using data-driven solutions. Your primary mission will be to understand customers' greatest challenges, synthesize data insights, and deploy software solutions to drive impactful results.
Key Responsibilities- Critical Problem-Solving: Engage directly with customers to deeply understand their challenges, workflows, and objectives. Build strong relationships with customer teams to effectively collaborate and deliver tailored solutions.
- Data Analysis: Dive into large and complex datasets to extract meaningful insights and develop data-driven solutions. Utilize advanced analytics techniques to uncover hidden opportunities and optimize decision-making processes.
- Software Deployment: Collaborate with cross-functional teams including BI Data Engineers, Developers, Analysts, and Data Scientists to deploy software solutions against complex problems. Ensure seamless integration of solutions into customer workflows and systems.
- A Bachelor's Degree in Computer Science, Engineering, Data Science, or other related field.
- At least 1 year of proven experience in troubleshooting and resolving performance issues within data analytics platforms, preferably Foundry, or 5 years of experience with other data analytic platforms.
- Demonstrated expertise in conducting performance assessments, root cause analysis, and solution design to optimize system performance.
- Hands-on experience with data visualization tools and techniques, including workshop module and optimization within Foundry.
- Experience in Python/SQL querying, data manipulation, and database performance tuning to extract and analyze large datasets efficiently.
- Familiarity with data modeling concepts and techniques to design efficient and scalable data structures for analytics purposes.
- Previous involvement in cross-functional collaboration with IT teams, business stakeholders, and senior leadership to address performance challenges and drive solutions.
- A proven track record of successfully implementing performance improvements within data analytics platforms, including testing, validation, and deployment of changes.
- Strong communication skills and the ability to convey technical concepts to non-technical stakeholders effectively.
- A competitive salary range of $120,000 - $180,000 per year.
- A comprehensive benefits package, including medical, dental, and vision insurance.
- A 401(k) retirement plan with employer match.
- Flexible work arrangements, including remote work options.
- Professional development opportunities, including training and certification programs.
- A collaborative and dynamic work environment.
$140,000 Average Annual Salary (based on national averages and industry standards)
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