System Analyst

• We are seeking a technically-oriented Systems Analyst to support the continued evolution of our Drug Cost Estimator (DCE) and Provider Search (PS) digital products.
• This role acts as the technical backbone of the product team, partnering with Product Managers, Business Analysts, Product Owners, and Engineering to translate complex business and regulatory requirements into clear, system-level specifications.
• The Systems Analyst will focus on deep system behavior, data flows, and integrations, ensuring that highly complex logic—such as drug pricing, benefit coverage, and provider data—is accurately designed, implemented, and maintained at scale.

• USC or GC only

Location:

Minneapolis, MN (Onsite)

Duration: 6 Months (Possibility of Extension)

• Translate business requirements into detailed system requirements, technical user stories, and implementation-ready specifications.
• Analyze end-to-end system behavior across DCE and PS, including front-end inputs, back-end services, APIs, and downstream dependencies.
• Define complex business logic at a system level, including:
• Drug pricing and cost calculations (deductibles, tiers, phases).
• Eligibility and plan benefit logic.
• Provider search filtering, ranking, and network inclusion logic.
• Ensure requirements are complete, consistent, and aligned to business intent.

• Map and document data flows across multiple systems, including:
  Pharmacy pricing engines, formulary data, and benefit services. (DCE). Provider directories, network data, and search/indexing services. (PS)
• Define API interactions, service orchestration, and data mappings between systems.
• Identify data dependencies, transformation rules, and edge cases that impact user-facing outputs.
• Ensure data accuracy and traceability from source systems to user experience.

• Complement Business Analysts by taking requirements to a deeper technical level. (the “how,” not just the “what”)
• Partner with Product Managers and Product Owners to:
  Clarify feasibility and constraints. Identify technical trade-offs early.
• Participate in feature refinement and backlog grooming to ensure engineering-ready stories.
• Serve as the primary liaison between product and engineering, ensuring shared understanding of system behavior.
• Create technical artifacts such as Data flow diagrams , Sequence diagrams and Service interaction models.
• Support engineering teams with Requirement clarification, Data mapping and logic validation.
• Ensure features are fully defined, testable, and aligned with system architecture before development.

• Partner with QA to define test scenarios aligned to system logic and edge cases.
• Validate that outputs (e.g., drug cost calculations, provider results) are Accurate , Consistent and Compliant with business rules
• Support UAT readiness and defect triage, particularly where issues stem from data or system logic.
• Investigate and resolve complex production issues, including Incorrect drug pricing or cost outputs and missing or inaccurate provider results.
• Perform root cause analysis across systems and data pipelines.
• Identify opportunities to improve Data quality and latency, System performance and scalability and Integration reliability.
• Drive enhancements that improve consumer trust and experience.

• These tools depend on highly complex, multi-system logic (pricing, eligibility, provider data)
• Errors directly impact consumer trust, compliance, and conversion
• Success requires deep understanding of data + systems, not just UX or business flows , ability to trace outputs back through multiple dependencies and strong partnership across Product, BA, Engineering, and data teams.

• 3+ years of experience in Systems Analysis, Technical Analysis, or similar role
• Strong experience with APIs, integrations, and distributed systems , Data modeling, mapping, and analysis and writing technical requirements and system specifications.
• Experience supporting Agile product teams. (Scrum/SAFe)
• Ability to analyze complex rule-based systems and data-driven outputs.

• Experience with Healthcare, pharmacy, or provider data systems. Pricing engines, eligibility systems, or search platforms.
• Familiarity with Drug pricing concepts. (formularies, tiers, benefit phases) and provider directories and network logic.
• Exposure to AI/ML or personalization engines.