Technical Business Analyst II

Location: Hyderabad, India

Are you energised by the intersection of data, AI, and real-world business impact? Do you thrive on turning complex problems into elegant, trusted solutions? If you are a sharp analytical thinker with a passion for quality and a curiosity for what AI can do next — this role was built for you.

About the Role

This is a pivotal role at the heart of Swiss Re's Life & Health Reinsurance transformation. As a Technical Business / Product Analyst, you will sit at the crossroads of business strategy, data intelligence, and AI-enabled delivery — helping shape the future of how L&H Re operates. You will work with brilliant minds across actuarial, underwriting, operations, and technology to bring AI-driven products from concept to production, ensuring every solution is business-aligned, rigorously tested, and genuinely trusted by the people who use it.

Key Responsibilities

Business Analysis & Product Shaping

• Build and nurture trusted relationships with internal L&H business partners across underwriting, in-force management, operations, and actuarial functions

• Collaborate with stakeholders to brainstorm ideas, shape use cases, and define MVP scope aligned with the long-term AI product vision

• Capture and translate complex business requirements into clear, actionable functional and non-functional specifications

• Ensure requirements reflect real business value, usability, and operational realities — not just technical feasibility

Data & AI Enablement

• Analyse business problems using data-driven approaches, including hands-on SQL-based analysis and structured analytical thinking

• Partner closely with AI and data teams to ensure model outputs, recommendations, and reasoning workflows align with business expectations

• Support validation of AI-enabled insights, dashboards, and decision-support workflows from a business and functional perspective

• Leverage exposure to AI/GenAI concepts, including prompt engineering, to bridge the gap between business intent and technical execution

Quality Assurance & Testing

• Define and execute functional test scenarios for data, analytics, and AI-enabled solutions with rigour and precision

• Lead UAT and functional testing cycles, ensuring solutions meet agreed business requirements before go-live

• Analyse functional defects, identify root causes, and collaborate with delivery teams to drive resolution

• Champion high-quality releases through structured test planning, execution, and sign-off processes

Delivery & Production Support

• Step up during peak cycles, bringing flexibility and dependability when critical deadlines demand it

• Support defect resolution, production incident analysis, and problem management with a calm, solutions-oriented approach

• Participate in go-live readiness activities, including validation, stakeholder sign-offs, and post-launch support

• Act as a trusted business-facing contact during early production usage, driving adoption and ensuring solution stability

About the Team

Life & Health Data & Analytics Engineering is a strategic technology partner for Swiss Re's Life & Health Reinsurance division — and we are just getting started. Sitting at the forefront of transforming the data landscape, the team builds innovative analytical products and capabilities that enable better, faster, data-driven decisions across the entire business value chain. As part of the broader Advance with AI initiative, the team is actively building and delivering AI-driven capabilities across end-to-end L&H operations and in-force management — leveraging Swiss Re's rich global data foundation and enterprise business applications to enable continuous portfolio monitoring, actionable insights, and reasoning-enabled workflows in a regulated environment. This is a team that moves with purpose, thinks boldly, and builds things that matter.

About You

You are a naturally curious, detail-oriented professional who brings both analytical depth and strong interpersonal skills to everything you do. You are equally comfortable diving into a dataset and presenting findings to a senior business stakeholder. You take quality seriously — not as a checkbox, but as a mindset. You are adaptable, collaborative, and motivated by the idea of making AI work in the real world, responsibly and effectively.

We are looking for candidates who meet these requirements:

• 5–7 years of hands-on business analysis and data analysis experience, with a strong functional testing and quality assurance background within complex data or technology environments

• Hands-on SQL experience for data analysis, validation, and investigation of data-driven solutions

• Life & Health insurance or reinsurance domain knowledge, with the ability to understand and articulate complex business processes and translate them into clear technical requirements

These are additional nice to haves:

• Experience supporting AI-driven decision support or monitoring solutions, ideally within a regulated industry

• Exposure to in-force management, portfolio analytics, or underwriting workflows within a Life & Health context

• Familiarity with AI/GenAI concepts, including prompt engineering, model governance, or explainability frameworks

• Experience navigating large, global enterprise environments with cross-functional, agile delivery teams

• Knowledge of regulatory expectations around data, model risk, or analytics in financial services

• Strong stakeholder management and communication skills, with the ability to engage confidently across technical and non-technical audiences

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week.

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.