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About the role
Key responsibilities & impact- Identifying and framing high-impact business problems where data, analytics, automation, and AI can create strategic value as well as looking beyond the initial request to understand the underlying business need, challenge assumptions, and reframe problems to maximize value.
- Building ROI-based business cases: articulate expected costs, benefits, and risks; quantify value (e.g., revenue uplift, cost savings, efficiency, quality, experience).
- Acting as a trusted business partner to senior stakeholders across multiple business units.
- Facilitating workshops, interviews, and working sessions to align on problems, priorities, and solution options.
- Translating business problems into clear, testable requirements (epics, user stories, acceptance criteria) plus translate business concepts into logical and conceptual data models, defining how entities, relationships, measures, and KPIs should be represented in the data platform.
- Collaborating daily with Engineers to validate feasibility and data availability, co-design solution approaches, and refine requirements as learning emerges.
- Owning the business side of the solution lifecycle – from discovery to adoption: requirements and design, testing and validation, business readiness and go-live, and post-launch optimization.
- Leading or coordinating User Acceptance Testing (UAT), including designing test cases that match real-world scenarios and edge cases.
- Mentoring and support more junior team members, especially colleagues working with business analysis and insights, sharing best practices and providing feedback on complex challenges.
- Being recognized as a go-to domain expert in your business area and share lessons learned across teams and projects.
Requirements
What you’ll need- Several years of experience as a Business Analyst preferably in data, analytics, digital, or AI-driven environments.
- Proven track record of delivering measurable business outcomes through applied analytics, automation, or AI initiatives.
- Demonstrated experience in end-to-end delivery – from discovery and business case, through requirements and solution design, to testing, deployment, adoption, and benefit tracking.
- Solid experience with stakeholder management at senior levels, including navigating conflicting priorities and driving alignment.
- Strong problem-structuring and problem-solving skills.
- Ability to break down complex challenges into clear, prioritized increments.
- Experience writing high-quality user stories, use cases, and acceptance criteria.
- Ability to convert data into insight narratives that drive decisions.
- Familiarity with AI and ML concepts
- Work with technical teams on data modelling approaches, helping to shape how business concepts are implemented in our data lakehouse architecture and in dimensional models so analytics and insights are trustworthy and easy to consume.
- Excellent communication skills in English, both written and spoken; ability to make complex and “black box” topics understandable and actionable.
- Strong facilitation skills for workshops, interviews, and cross-functional sessions.
- Curious and continuously learning – especially about AI, data, and customer behaviour.
- Collaborative – you work in cross-functional groups and share knowledge openly.
- Structured and able to manage multiple parallel initiatives without losing sight of detail or big picture.
Benefits
Comp & perks- We invest in our people
- Encouragement of T-shaped development
- Foster a culture of care, trust, and collaboration
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analyticsautomationAIbusiness case developmentrequirements gatheringdata modelinguser acceptance testinguser storiesacceptance criteriaproblem-solving
Soft Skills
stakeholder managementcommunicationfacilitationmentoringcollaborationcuriositystructured thinkingproblem structuringprioritizationadaptability
