Business Analyst - Claritas Rx

About Claritas Rx

Claritas Rx uses AI and predictive modeling to help rare disease and specialty brands remove the barriers that keep patients from accessing and staying on the treatments they need. By uniting the most complete view of the patient journey with purpose-built technologies, we predict and resolve access challenges before they disrupt care, combining advanced analytics, real-world data, AI, and CRM capabilities to increase start and refill rates, reduce abandonment, and improve brand performance.

Our mission is to ensure patients with chronic, life-threatening diseases receive the support that enables the greatest benefit from their therapy. Simply put, our promise is progress for every patient journey.

We were named one of Inc.'s Best Workplaces in 2025 and recognized on the Inc. 5000 list for two consecutive years (2025 and 2026). Our employees enjoy a flexible, collaborative work environment, unlimited PTO, stock options, and a growing set of tools and technology to drive innovation for our customers.

The Position

Our Ascend® platform represents the next generation of our delivery capability — a standardized, scalable implementation model that enables faster, higher-quality client onboarding across our specialty pharmacy data ecosystem.

The Business Analyst (BA) is the primary technical executor of the Ascend platform configuration. The top expectation of this role is the ability to lead and manage spec negotiations with data partners — ensuring that inbound and outbound data file specifications are aligned with the Ascend data model before configuration work begins. This requires both deep technical fluency in specialty pharmacy data structures and the communication skills to drive data partners toward compliant, complete specifications without compromising go-live timelines.

Working from the Configuration Blueprint produced by the Delivery Director, the BA owns all data mapping, platform configuration, and internal quality assurance before any client-facing testing begins. As part of the Delivery and Operations team, the BA acts as the standard-vs-custom decision support layer for data: identifying when client requests require escalation to Product or Customer Engineering versus when they can be addressed within the standard data model.

Note: This role is primarily remote with occasional travel requirements.

Key Accountabilities

Data Partner Spec Negotiation (Primary Accountability)

• Lead spec negotiations with specialty pharmacy and other data partners to ensure inbound and outbound file specifications are fully aligned with the Ascend data model before configuration begins.
• Review partner-submitted data specifications for completeness, field-level accuracy, and model alignment; document gaps and drive resolution directly with the data partner.
• Negotiate field mappings, list-of-values (LOVs), file formats, and delivery cadences with data partners, escalating to the Engagement Manager only when partner alignment cannot be achieved at the working level.
• Validate test files against finalized specifications and flag discrepancies before data enters the pipeline; maintain a clear record of spec versions and sign-off status across all active partners.
• Translate data partner constraints into actionable decisions for the implementation team.

Platform Configuration & Data Mapping

• Own all platform configuration work: data mapping, configuration tooling, business logic implementation, and front-end reporting setup driven by the Configuration Blueprint.
• Review data specifications produced in collaboration with the Engagement Manager; proactively flag data model mismatches or gaps prior to configuration work beginning.
• Load data into the pipeline using configuration tooling once specifications are finalized and signed off by relevant stakeholders.
• Collaborate with Customer Engineering on the handoff of data mapping for standard data model onboarding.

Internal QA & Quality Standards

• Conduct internal QA testing of all configuration work prior to partner or client-facing testing — nothing advances to UAT without BA sign-off.
• Track and resolve defects identified during internal QA and UAT for all configuration-related issues.
• Perform quality control procedures to assure configurations and data quality meet acceptance criteria prior to go-live.
• Develop and maintain QA documentation, test case frameworks, and checklists that support repeatable, auditable testing across implementations.

Escalation & Non-Standard Request Routing

• Identify whether client requests fall within the standard Ascend data model, require configuration adjustment, or require escalation to Product or Customer Engineering.
• Document and route non-standard requests with clear business need descriptions and technical context.
• Conduct change impact analysis to assess how updates or non-standard requests may affect system performance and configuration decisions.

Cross-Functional Coordination

• Consult with Engagement Managers on data partner specs, testing timelines, and UAT scheduling.
• Coordinate with Delivery Director on receipt and interpretation of the Configuration Blueprint.
• Report blockers, capacity constraints, and escalations proactively across a typical 1-BA-to-many implementations ratio.
• Support the Delivery Director and Customer Success with UAT business validation for configuration-related questions.

Process, Documentation & Knowledge Management

• Facilitate schema normalization of system databases; maintain data dictionaries and file inventories across customer applications.
• Consult with cross-functional teams to document business requirements, operating procedures, issue resolution processes, and platform configurations.
• Develop and maintain an operating playbook detailing best practices for configuration sequencing, data partner onboarding, and documentation.
• Write clear, detailed procedures for internal training and train other Business Analysts as the team scales.
• Support creation and maintenance of standard UAT test script templates for core Ascend use cases.

Requirements

Skills & Knowledge

• Demonstrated ability to lead data partner spec negotiations across multiple external partners simultaneously.
• Excellent written and oral communication skills for both technical and non-technical audiences.
• Ability to prioritize, organize, and execute multiple tasks simultaneously across a high-volume implementation portfolio.
• Creative approach to operational problem solving and attention to detail.
• Knowledge of data management in specialty biotech and/or operations in reimbursement call centers or specialty pharmacies.
• Familiarity with healthcare data sources (transactional, clinical, behavioral) and specialty pharmacy data file types (demographics, dispense, status, inventory).
• Understanding of standard implementation lifecycle frameworks: UAT facilitation, defect triage, QA gating, and go-live readiness.
• Ability to exercise judgment within broadly defined practices and policies.

Education & Experience Required

• Bachelor's degree from a 4-year university.
• 2+ years of relevant experience in an operations role at a biopharmaceutical manufacturer, reimbursement call center, specialty pharmacy, or data management company.
• Proficiency in Microsoft Excel and analytic tools (data comparison, conditional formulas, data summary, conversion).
• Functional knowledge of the Microsoft Office suite (Word, PowerPoint, Excel).
• Background with the Business Analysis toolkit (SDLC, root cause analysis, business process modeling).
• Demonstrated ability to manage deliverables across multiple concurrent implementations or client programs.

Preferred Qualifications

• Experience with specialty pharmacy data file specifications, SFTP workflows, and data onboarding processes.
• Academic training in public health, business administration, and/or operations research.
• Case management experience in a reimbursement call center or specialty pharmacy.
• Familiarity with project management tools such as Smartsheet, JIRA, or Confluence.
• Familiarity with Google Docs, workflow diagram tools, web-based software systems, and relational databases.
• Experience working within a structured RACI model or implementation team framework.