IT Business Analyst - US 360 Insights Engineering

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

Job Description

We are seeking a Principal Business Systems Analyst to help design, define, and scale technology solutions supporting commercial organizations across the US and global affiliates. You will operate at the intersection of business, product, data, and engineering, translating complex and ambiguous business problems into clear technical requirements and scalable solutions. You will partner with product managers, software engineers, data engineers, architects, data scientists, and commercial stakeholders across enterprise applications, data platforms, cloud services, analytics, APIs, and AI/GenAI capabilities. Hands-on software development is not required, but strong technical fluency is essential.

Description of the area

360 Insights Engineering builds and evolves commercial technology, data, analytics, and AI capabilities used across the US and global affiliates. The team partners across markets to identify where capabilities should be globally standardized versus locally configurable, while accounting for differences in processes, data, regulations, and operating models.

Job Responsibilities

Partner with business and product leaders to understand complex commercial problems, lead discovery, challenge assumptions, and translate needs into clear functional and technical requirementsDefine user stories, acceptance criteria, business rules, process flows, data requirements, system behaviors, and traceability from business objectives through implementation and validationDecompose large, ambiguous initiatives into well-defined capabilities and engineering-ready requirements while proactively identifying scope, dependencies, edge cases, data issues, and operational risksServe as the primary bridge between business stakeholders and technical teams, participating confidently in discussions on system architecture, APIs, databases, cloud platforms, data pipelines, integrations, authentication/authorization, and AI servicesPartner with architects and engineers to evaluate solution approaches, technical constraints, dependencies, and trade-offs, and review designs to ensure solutions satisfy business requirements and can scale across marketsUse SQL to investigate data, validate assumptions, troubleshoot issues, and support requirements definition, including relational models, joins, aggregations, data quality, and upstream/downstream dependenciesTranslate analytical and reporting needs into clear data definitions, metrics, business rules, and transformations, partnering with data engineering and analytics teams on models, pipelines, reporting, and commercial analytics capabilitiesPartner with product, engineering, and data science teams to identify AI/GenAI opportunities, translate them into measurable workflows, requirements, guardrails, and acceptance criteria, and ensure they solve real business problemsApply working knowledge of LLMs, prompting, RAG, agents, model limitations, evaluation, and enterprise AI integration patterns when shaping AI-enabled solutionsSupport products serving the US, Canada, Brazil, and other global affiliates by coordinating requirements across markets and balancing global standardization with appropriate local configurationWork effectively across distributed teams, functions, and time zones, driving alignment and clear decisions in complex, cross-functional environments

Qualifications

Education / Experience

Experience as a Business Systems Analyst, Technical Business Analyst, Product Analyst, Systems Analyst, or similar technology-facing role, with demonstrated ability to translate ambiguous business problems into structured technical requirementsStrong hands-on proficiency with SQL and the ability to independently analyze and validate dataStrong experience with Jira and Confluence, including writing high-quality user stories, acceptance criteria, requirements, and technical documentationExperience partnering directly with software engineers, data engineers, architects, product managers, data scientists, and business stakeholdersStrong analytical problem-solving, written and verbal communication, ownership, and continuous improvement mindsetExperience operating across complex, distributed, or global organizations and managing multiple priorities and dependencies

Technical Skills

Strong understanding of REST APIs, system integrations, relational databases and data models, cloud-based applications and services, distributed-system fundamentals, authentication/authorization, data pipelines, and analytics platformsAbility to read and reason about architecture diagrams, API specifications, data models, and system workflowsWorking knowledge of AWS, Azure, or GCP and modern cloud architecture patternsWorking knowledge of AI/GenAI concepts including LLMs, prompting, RAG, agents, model evaluation, model limitations, guardrails, and enterprise AI integration patternsAbility to use GenAI tools to accelerate requirements analysis, research, documentation, data exploration, process mapping, solution design, and lightweight prototyping while critically validating generated outputsAbility to recognize when AI should and should not be used, particularly with sensitive enterprise data, regulated information, and business-critical decisionsFamiliarity with commercial technology and data domains such as CRM, customer engagement, field operations, sales analytics, targeting/segmentation, marketing technology, or commercial data platforms

Additional Qualifications

Experience in commercial life sciences, pharmaceuticals, biotechnology, healthcare technology, or another regulated industry is strongly preferredExperience supporting technology products across multiple countries or global business units is preferredExperience defining or delivering AI/GenAI-enabled products, including enterprise LLM, RAG, agent, or AI evaluation use cases, is preferredExperience with large-scale analytical platforms or complex enterprise datasets is preferredAbility to create lightweight prototypes, workflow concepts, diagrams, analyses, and proof-of-concepts using AI-enabled tools where appropriateContinuously explores emerging AI capabilities and incorporates useful tools and techniques into day-to-day workExperience in highly scaled technology, retail, or digital organizations such as Google, Meta, Amazon, or comparable companies is valued where candidates demonstrate strong product, data, and systems thinking

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Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer.