Analytics Forward Deployed Software Engineer 2

Job Summary:

As an Analytics Forward Deployed Software Engineer 2, you will work directly with customers in solving 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. Join us in making a tangible difference by harnessing data-driven solutions to address the most critical challenges in healthcare. As we strive for innovation and excellence, be part of our journey to become a world-class organization, shaping the future of healthcare with cutting-edge technologies and forward-thinking strategies.

Essential Functions:

• Engage directly with customers to understand their challenges, workflows, and objectives.

• Independently decompose complex processes into actionable components that can be improved or automated using data and custom software solutions.

• Design and deliver tailored tools, ranging from analytics dashboards to operational applications, that drive measurable value for the organization.

• Collaborate with cross-functional teams including Engineers, Data Strategists, and Data Scientists to deploy software solutions against complex problems.

• Contribute to product development by recommending features, improving functionality, and enhancing user experience based on customer feedback and technical insight.

• Apply AI-driven development tools and prompt engineering techniques to analyze data and optimize software performance and process efficiency

• Bachelor's Degree in Computer Science, Engineering, Data Science, and/or other related field.
• Three (3) years of related technical experience required. Experience with web development frameworks (e.g., HTML, CSS, Angular) and version control systems (e.g., Git, Azure DevOps).

• Strong understanding of relational databases, data profiling, data quality, and performance tuning.

• Proficiency with Business Intelligence tools (e.g., Power BI, Tableau, Qlik Sense).

• Experience with cloud-based data platforms and data lakes.

• Familiarity with AI concepts, including large language models (LLMs) and prompt engineering.

• Knowledge and practical experience applying process improvement methodologies (e.g., Lean

• Six Sigma, Agile, PDCA/PDSA, PMP) to support efficient and scalable analytics solutions.

• Experience with Foundry or similar enterprise data platforms.

• Prior experience in healthcare or clinical analytics environments

• Proficiency in SQL and programming languages such as Python, PySpark, TypeScript/JavaScript, 

  and React.