Client Summary:

• Innovative healthcare data and analytics platform company
• Focuses on providing out-of-the-box solutions for healthcare organizations
• Aims to accelerate data analytics processes
• Enhances reliability and affordability of data analytics in healthcare
• Establishes modern and robust analytics foundations

Position Responsibilities:

• Requirements Gathering & Analysis
  • Participate in client discovery and scoping sessions to capture business goals and technical requirements.
  • Analyze client-provided datasets (including data samples and headers) to determine structure, quality, and potential use cases.
  • Translate business needs into clear technical specifications, including data flows, mappings, and transformation logic.
• Solution Design & Documentation
  • Collaborate with engineering teams to design scalable and efficient data solutions.
  • Create detailed solution documentation for engineering teams, ensuring alignment with business objectives.
  • Contribute to solution architecture, leveraging WellStack’s product suite to address customer challenges.
• Technical Problem-Solving
  • Provide real-time solutioning during client engagements, proactively addressing data challenges and roadblocks.
  • Recommend the use of AI and automation tools to improve efficiency and solution quality.
• Project Collaboration & Delivery
  • Work closely with Implementation Managers to ensure solutions are delivered on time, within scope, and aligned to client success criteria.
  • Potentially manage 1–2 customer projects in parallel, balancing priorities effectively.
  • Support end-user validation efforts and data quality checks.
• Cross-Functional Coordination
  • Partner with Product, Engineering, and Sales to align client needs with internal priorities and the product roadmap.
  • Facilitate effective communication between technical and non-technical stakeholders.
• Continuous Improvement
  • Provide feedback to enhance product capabilities and implementation processes.
  • Help develop internal templates, best practices, and reusable solution components.

Experience & Skills:
Required Experience and Qualifications:

• Bachelor’s degree in Business, Computer Science, Data Analytics, Healthcare, or a related field (or equivalent experience).
• 5+ years of experience in business analysis, solution engineering, or data analytics roles—preferably in healthcare technology or consulting.
• Proficiency in SQL and Python for data analysis and transformation.
• Deep familiarity with healthcare data (claims, RCM, clinical datasets, etc) and industry standards.
• Strong understanding of data modeling, ETL processes, and solution documentation.
• Proven ability to work with both technical teams and client stakeholders in a collaborative, client-facing capacity.
• Strong problem-solving, organizational, and communication skills.

Preferred Experience and Qualifications:

• Experience with enterprise healthcare software implementations (EHRs such as Epic, Cerner, or Meditech; cloud platforms like AWS, Azure, or GCP).
• Familiarity with AI and automation tools in a solution delivery context.
• Background in high-growth start-ups, consulting, or professional services.
• Understanding of project management methodologies (Agile, Scrum, or similar).

Compensation $120k-$200k, Health Insurance, 401k, Paid Vacation