Principal Business Systems Analyst, Test Compendium

NeoGenomics Laboratories; Ramsey (NJ); Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

401k match

Employee stock purchase program

Tuition reimbursement

Paid time off 16 days + holidays

Wellness programs

Job summary

NeoGenomics Laboratories in Ramsey, NJ seeks a Principal Business Data Systems Analyst to lead the design and governance of the Test Compendium data model that feeds NeoLIMS, Billing, Analytics, and downstream systems. The role translates business needs into URS, data-model designs, and release-ready work for developers.

You will partner with data management teams to shape roadmaps, manage technical debt, and ensure scalable, high-quality data architecture across environments.

Qualifications

• 12+ years of experience in business systems analysis, data modeling, or technical platform ownership.
• Healthcare IT experience strongly preferred.
• Ability to travel up to 20% of the time.
• Translate business requirements into URS, data-model designs, user stories, and acceptance criteria.

Responsibilities

• Translate business needs into functional and technical requirements with URS, data-model designs, and user stories.
• Own and evolve the Test Compendium data model, ensuring consistency and data integrity across environments.
• Provide platform strategy, evaluate design trade-offs, manage technical debt, and align with enterprise goals.
• Shape and prioritize the Test Compendium roadmap with stakeholders and developers.

Skills

Business systems analysis

Data modeling

Technical platform ownership

Requirements translation

API integrations

Stakeholder collaboration

Education

Bachelor's degree

Job description

Are you motivated to participate in a dynamic, multi-tasking environment? Do you want to join a company that invests in its employees? Are you seeking a position where you can use your skills while continuing to be challenged and learn? Then we encourage you to dive deeper into this opportunity.

We believe in career development and empowering our employees. Not only do we provide career coaches internally, but we offer many training opportunities to expand your knowledge base!

• We have highly competitive benefits with a variety of HMO and PPO options.
• We have company 401k match along with an Employee Stock Purchase Program.
• We have tuition reimbursement, leadership development, and even start employees off with 16 days of paid time off plus holidays.
• We offer wellness courses and have highly engaged employee resource groups.

Come join the Neo team and be part of our amazing World Class Culture!

NeoGenomics is looking for a Principal Business Data Systems Analyst who wants to continue to learn in order to allow our company to grow. This is a hybrid onsite position in Ramsey, NJ with a Monday - Friday, day shift.

Now that you know what we're looking for in talent, let us tell you why you'd want to work at NeoGenomics:

As an employer, we promise to provide you with a purpose driven mission in which you have the opportunity to save lives by improving patient care through the exceptional work you perform. Together, we will become the world's leading cancer reference laboratory.

Position Summary:

As the Principal Business Systems Analyst for the Test Compendium, you will serve as the senior technical and analytical owner for the technical design and business process enablement of NeoGenomics' enterprise Test Compendium data model - the governed source of truth for master test and product data that feeds NeoLIMS, Billing, Analytics, the website, and downstream clinical and operational systems. This role translates business requirements into clear technical specifications, user requirement specifications (URS), data-model designs, Jiraready stories, and release-ready work for developer execution.

Responsibilities:

• Serve as the primary collector and translator of business needs into detailed functional and technical requirements, including user requirement specifications (URS), datamodel designs, user stories, acceptance criteria, and developer-ready specifications
• Own and evolve the Test Compendium data model - its tables, relationships, hierarchies, attributes, metadata, and related workflows - ensuring consistency, scalability, traceability, and data integrity across all environments
• Provide overall platform strategy and advisory guidance, evaluating design trade-offs, managing technical debt, and ensuring the Test Compendium architecture aligns with enterprise systems and long-term business goals
• Partner with the Enterprise Master Data Management team and Program Manager to shape and prioritize the Test Compendium roadmap, contributing technical feasibility, sequencing, level-of-effort estimates, and risk/dependency analysis
• Manage and oversee developer work for the Test Compendium, providing technical direction, design oversight, configuration guidance, code/configuration reviews, and quality direction to ensure work is delivered and deployed during planned release windows

Experience, Educations and Qualifications:

• Bachelor’s degree required, preferably in a technical, data, information systems, life sciences, or business field
• 12+ years of experience in business systems analysis, data modeling, or technical platform/application ownership
• Healthcare, clinical laboratory, or diagnostics IT experience strongly preferred
• Ability to travel up to 20% of the time
• Demonstrated experience translating business requirements into technical specifications, URS documentation, data-model designs, user stories, and acceptance criteria
• Experience owning or configuring a complex enterprise data platform or masterdata/reference-data system (specific platform experience not required; ability to learn the platform is essential)
• Experience partnering with business stakeholders on roadmap and prioritization, and with developers on delivery
• Strong data-modeling and systems-design skills, with the ability to design for accessibility, efficiency, scalability, and data quality
• Proven ability to decompose business needs into functional and technical requirements with clear traceability
• Solid understanding of system integrations, APIs, and data-distribution patterns between enterprise systems