Etraveli Group is a leading global flight technology provider, specializing in flight sales and offering flight content delivery and fintech products. We are here to solve complexity, by connecting millions of flights and travelers across the globe, from search and selection to trip and beyond.
We partner with major global platforms such as Booking.com, Google Flights, Skyscanner, and Kayak, providing seamless flight booking and related services. Our B2B portfolio includes a separate fintech entity with its flagship product, PRECISION, a risk management solution, Sweden’s leading flight comparison site Flygresor.se, Tripstack, our B2B Flights as a Service Provider and world leader in virtual interlining, and Wenrix, the embedded AI platform for flights. We also operate our own online travel agency brands including Gotogate, Mytrip, and Flightnetwork.
Every day we strive to make the world smaller for our customers and bigger for our people. Our diverse team of more than 3200 passionate professionals is what makes us the industry’s tech wonder and the best in the world at what we do.
Major offices in Sweden (HQ), Greece, India, Canada, Israel, Poland, UK, and Uruguay.
Job Purpose
Etraveli Group is actively piloting and scaling agentic AI across the organisation, in software engineering, finance, sales analytics, and beyond. This role exists to bridge the gap between AI capability and business value: identifying the right opportunities, rapidly prototyping solutions, and ensuring every initiative is grounded in clear logic and measurable outcomes.
As AI Business Analyst, you will be a hands-on contributor; building proof-of-concepts using LLM APIs and agentic frameworks, participating in AI architecture discussions, and translating what is technically possible into what is actually worth doing. You will work closely with the Senior Director of Data & BI and collaborate with engineers, product managers, and business stakeholders across the organisation.
This is not a purely analytical role. The right person writes code, builds things quickly, and knows when a prototype is good enough to validate an idea. They are equally comfortable in a whiteboard session on AI architecture and presenting a business case to a CFO.
The role can be based in Stockholm or Uppsala.
Duties and Responsibilities
Use Case Identification & Business Cases
Identify and evaluate opportunities for agentic AI and automation across business functions (e.g. finance reconciliation, sales analytics, internal tooling)
Build structured business cases — framing the problem, quantifying the opportunity, and defining what success looks like
Work with business teams to translate their operational pain points into well-scoped AI problems
Measurement & Tracking
Define KPIs and measurement frameworks for AI pilots and production deployments
Design and maintain tracking dashboards to monitor performance and efficiency gains of active AI initiatives
Synthesise pilot results and learnings into clear summaries for leadership
Flag underperforming initiatives early and recommend adjustments
Proof-of-Concept Development
Rapidly build working prototypes for AI use cases using LLM APIs (Claude, OpenAI, Gemini), agentic frameworks, and integration tooling
Scope PoCs tightly to answer a specific feasibility or value question, not to build production systems
Document what was tested, what worked, and what the limitations are; hand off clearly to engineering teams when a PoC is ready to productionise
Stay current on the evolving LLM and agentic AI landscape and bring relevant capabilities to the attention of the team
AI Architecture Support
Participate in architecture discussions for AI initiatives, contributing a business and product perspective on design decisions
Evaluate architectural trade-offs (e.g. RAG vs fine-tuning, agent orchestration patterns, API vs embedded tooling) from the lens of what the business actually needs
Help define data requirements, integration points, and guardrails for AI systems being built by engineering teams
Contribute to the development of internal AI operating principles and governance standards
AI Change Management & Adoption
Support the organisation's transition to working with LLMs and agentic AI tools — helping teams move from curiosity to confident, productive use
Develop and deliver lightweight enablement materials, guides, and best practices that help non-technical teams understand and adopt AI tools effectively
Act as an internal resource for teams navigating questions about what LLMs can and cannot do, when to use them, and how to work with them safely
Help define and communicate responsible AI usage principles across business functions, in collaboration with leadership
Identify adoption blockers — whether cultural, practical, or technical — and work with stakeholders to address them
Track and report on AI maturity across the organisation, surfacing insights that help leadership prioritise enablement efforts
Qualifications / Personal Characteristics
Must Have
3–5 years in a business analyst, data analyst, or technical product role
Hands-on experience building with LLM APIs — you have written prompts, called APIs, and built something that works
Comfort with Python or a similar language at a prototyping level — not production engineering, but enough to build and iterate quickly
Understanding of how modern AI systems are architected — agents, tool use, retrieval-augmented generation, orchestration patterns
Strong analytical and communication skills — able to build rigorous business cases and present findings clearly to senior stakeholders
Self-sufficient and structured — able to scope ambiguous problems, drive them to a conclusion, and manage multiple workstreams
Nice to Have
Experience with the Gemini API (Claude), OpenAI API, or similar; familiarity with frameworks like LangChain, LlamaIndex, or the Anthropic Agent SDK
Exposure to agentic AI patterns — multi-step workflows, tool-use agents, MCP integrations
Experience in travel tech, e-commerce, or a fast-moving technology company
Exposure to BI tools (Looker, Tableau, Power BI) and working with data teams
Background in finance, operations, or product analytics
Why Join Us?
You will work on a core product that shapes the travel experience of millions of users worldwide, in a dynamic and evolving industry. You'll work with a passionate team dedicated to excellence, be a key player in shaping our flight and air ancillary content strategy, influence partners, and grow in a supportive environment that values innovation. If you're ready to elevate your career and make a real difference in the world of travel, apply now and become a vital part of our mission to be the best in the business!
Benefits
The culture at Etraveli Group embraces complexity and we like to keep the entrepreneurial spirit even as we grow into being a larger company.
With us you can enjoy:
A flexible working environment. We work on a hybrid-model where you can choose to work two days from home and you have two weeks per year that you can choose to work from a remote location
Modern office in the heart of the city – A bright and central location with great access to public transport, lunch spots, and parks just around the corner.
Healthcare allowance – Each employee receives a maximum allowable amount each year according to the Swedish Tax Agency to spend on health-promoting activities such as a gym card, massage etc.
Pension and health insurance – Through partners we offer a comprehensive pension and health insurance so that you can get help quickly in case of an accident.
Daily breakfast – To kick the day off just right, breakfast is available at the office every morning.
As part of this recruitment process, we will be conducting background checks. You will be able to read more information and give your consent to this process in the application form.
At Etraveli Group we value diversity; we pride ourselves on being a company represented by people of all different backgrounds. During hiring, we are committed to ensure equality and promote diversity in the workplace at every selection stage. As such, we provide the same opportunities for all candidates regardless of race, religion or belief, gender, nationality, ethnicity, sexual orientation, age, marital status, disability, or any other characteristic protected under any anti-discrimination law or regulation.
