Integration Analyst

How you will contribute
- Develop a deep understanding of data generated and consumed by OBU products, including downstream and upstream dependencies
- Partner with Data COE and Enterprise Data Backbone teams on data models, standards, governance, and integration strategies
- Define and document data requirements, mappings, transformations, and integration logic across systems and vendors
- Lead end-to-end vendor integration requirements (data exchange, workflows, interoperability)
- Translate business needs into actionable requirements for developers and product owners aligned to roadmaps and architecture
- Partner with product owners and engineering teams to ensure requirements are understood, prioritized, and implemented
- Drive alignment on data standards, quality expectations, and governance across vendor integrations
- Identify and address data gaps, inconsistencies, and quality issues
- Support vendor onboarding and integration lifecycle (requirements, validation, testing, production readiness)
- Lead requirements management through SDLC/Agile delivery with traceability from business need to deployment
- Partner with Quality/Testing to meet business and regulatory expectations for integration testing/validation
- Facilitate cross-functional alignment on dependencies, risks, and change control
- Recommend ways to optimize data flows, reduce fragmentation, and improve scalability
- Manage stakeholder expectations on priorities, timelines, constraints, decisions, and outcomes

Minimum Requirements/Qualifications
Required:
- Bachelor’s degree (Business, IT, or related); advanced degree preferred
- 10+ years data analyst experience in pharma/biotech
- Expertise in data-driven integrations and enterprise data platforms; APIs/file-based/real-time/streaming
- Hands-on experience with data models and integration patterns
- Ability to define data standards/integration approaches with enterprise data teams
- Strong data mapping, analysis, and troubleshooting across multi-system environments
- Healthcare data ecosystem knowledge (e.g., specialty pharmacy, hubs, patient services)
- Agile and hybrid SDLC experience
- Proficiency with JIRA and data/integration documentation tools
- Integration testing, UAT, and validation of external data exchanges
- Excellent communication bridging business, data, and technical teams
- CRM expertise (Veeva and/or Salesforce Life Sciences)
- Travel up to 10%

Desired skills
- Relationship management, strategic thinking, problem solving, project management, analytical thinking, leadership partnership, operate independently in complex/ambiguous environments