AI-Native Business Analyst, Oper

• We are looking for someone with a consulting background who is ready to go deep on a product and an industry and love technology:
• 2 to 3 years of experience in consulting (Big-4, boutique strategy/tech, or implementation consulting)
• Fluent in German and English
• You love structuring problems: messy customer conversations come out of your hands as clean documents, frameworks, and next steps
• You genuinely enjoy customer and end-user interaction: workshops energize you rather than drain you
• Technical affinity: you are comfortable reading API documentation, understanding integration patterns, and configuring software. You do not need to code, but you should not be afraid of anything technical either
• AI-native: you can name the tools, the workflows, and the concrete recent examples where AI gave you real leverage. You see AI as a default part of how you work
• Action-oriented, with a knack for getting things done in ambiguous situations
• Comfortable in a fast-growing, evolving SaaS environment
• Fluent in German (required)
• Fluent in English (required)

Desirable

• We are looking for a Business Analyst (DACH) to join our Customer Success team
• You will start with one of our flagship Austrian customers, owning the delivery work that turns their business needs into a configured, live Oper platform. As we continue to grow in DACH, you will expand into a broader portfolio of German-speaking lenders, becoming the trusted delivery partner who guides them from kickoff to value
• This is a role for someone who genuinely enjoys structuring messy problems, sitting in a workshop with bankers and product owners, and translating what they hear into something concrete the engineering team can build and the customer can run. It is also a role for someone who is AI-native, who uses modern AI tooling as a core part of how they think, write, and ship
• Run discovery workshops with business and IT stakeholders at our DACH customers
• Capture functional and business requirements in clear, well-structured documentation
• Map requirements to Oper's product: identify what works out-of-the-box, what needs configuration, and what genuinely needs engineering
• Translate business needs into user stories and functional specifications the squad can act on
• Manage stakeholder expectations throughout the project lifecycle
• Review technical API documentation from core banking systems, CRMs, and online banking platforms
• Work with Oper engineering to identify and define integration points
• Document data flows, contracts, and edge cases so nothing surprises us at go-live
• Make smart, pragmatic recommendations on what to integrate now vs. later
• Configure mortgage products, business rules, and customer journeys inside the Oper platform
• Validate that configurations match the agreed scope and pass acceptance testing
• Lead training sessions for end users and customer champions
• Stay close to the customer through go-live and early adoption, then hand over cleanly to the Customer Success team
• Use AI tools to scaffold documentation, draft specs, summarize workshops, and accelerate analysis, automate processes,…
• Identify where AI compounds your work and where it does not, and design your workflow accordingly
• Help us push the bar on what an AI-native delivery function looks like at Oper
• Reporting to the Head of Customer Success (Co-Founder)
• Close collaboration with the Customer Success, Product, and Engineering teams