Florida Health Sciences Center Tampa General Hospital - Tampa, FL

posted about 1 month ago

Full-time - Entry Level
Tampa, FL

About the position

As an Analytics Forward Deployed Software Engineer, you will play a crucial role in addressing complex challenges faced by our customers in the healthcare sector. Your primary mission will be to engage directly with clients to understand their unique challenges, workflows, and objectives. By building strong relationships with customer teams, you will collaborate effectively to deliver tailored software solutions that drive impactful results. This position is not just about coding; it’s about making a tangible difference by harnessing data-driven solutions to tackle critical issues in healthcare. In this role, you will apply your problem-solving skills, creativity, and technical expertise to analyze data, identify patterns, and derive actionable insights that meet customer needs. You will work closely with cross-functional teams, including BI Data Engineers, Developers, Analysts, and Data Scientists, to deploy software solutions that integrate seamlessly into customer workflows and systems. Your ability to dive into large and complex datasets will be essential in extracting meaningful insights and developing data-driven solutions that optimize decision-making processes. Additionally, you will contribute to the product development process by providing valuable input on features, functionalities, and user experience enhancements based on customer feedback. Evaluating the impact of deployed solutions on customer operations and performance metrics will be a key responsibility, allowing you to continuously iterate and improve solutions based on feedback and performance analysis. You will also collaborate with internal teams to share knowledge and best practices, contributing to the enhancement of internal processes and methodologies to drive efficiency and effectiveness.

Responsibilities

  • Engage directly with customers to understand their challenges, workflows, and objectives.
  • Build strong relationships with customer teams to deliver tailored solutions.
  • Apply problem-solving skills and technical expertise to analyze data and derive actionable insights.
  • Collaborate with cross-functional teams to deploy software solutions against complex problems.
  • Ensure seamless integration of solutions into customer workflows and systems.
  • Dive into large datasets to extract meaningful insights and develop data-driven solutions.
  • Utilize advanced analytics techniques to uncover opportunities and optimize decision-making processes.
  • Contribute to the product development process by providing input on features and user experience enhancements.
  • Evaluate the impact of deployed solutions on customer operations and performance metrics.
  • Collaborate with internal teams to share knowledge and enhance internal processes.

Requirements

  • Bachelor's Degree in Computer Science, Engineering, Data Science, or related field.
  • Certification in at least one Epic module within the first year of employment.
  • Certified in at least one Data Platform and Analytics Tools such as Foundry Data Engineer & Foundry Application Developer within the first year of employment.
  • Cogito Fundamentals certification within the first year of employment.
  • 1+ years of experience in troubleshooting and resolving performance issues within data analytics platforms, preferably Foundry or similar tools.
  • Demonstrated expertise in conducting performance assessments, root cause analysis, and solution design.
  • 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.
  • Familiarity with data modeling concepts and techniques for designing efficient data structures.
  • Previous involvement in cross-functional collaboration with IT teams and business stakeholders.
  • Proven track record of implementing performance improvements within data analytics platforms.

Nice-to-haves

  • Strong communication skills to convey technical concepts to non-technical stakeholders.
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