Technical Business Analyst I

Swiss Re; Hyderabad; Hybrid; INR 900,000 - 1,400,000; Full time

Job summary

Swiss Re is seeking a Technical Business Analyst for Life & Health Data & Analytics Engineering to shape AI-driven capabilities across the L&H portfolio. You will bridge business stakeholders, AI/data teams, and technology delivery, ensuring solutions are well-specified, tested, and adopted in a regulated environment.

In this role you will build trusted relationships, translate requirements into actionable specs, and participate in UAT, functional testing, and go-live readiness to ensure

Qualifications

• 2–3 years hands-on business analysis and data analysis experience.
• Strong functional testing and QA background within complex data or technology solutions, including experience defining test scenarios, performing UAT, and managing defect resolution.
• Hands-on SQL experience for data analysis, validation, and investigation within data platforms or analytics environments.
• Life & Health insurance or reinsurance domain experience.
• Experience working with data platforms, analytics solutions, or AI-enabled products.

Responsibilities

• 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 document complex business requirements, translating them into clear, actionable functional and non-functional specifications that reflect real business value and operational realities
• Analyze business problems using data-driven approaches, leveraging SQL-based analysis to uncover insights and support decision-making
• Translate business requirements into structured analytical thinking, working closely with AI and data teams to ensure model outputs, recommendations, and reasoning align with business expectations
• Support validation of AI-enabled insights, dashboards, and workflows from a business and functional perspective
• Define and execute functional test scenarios for data, analytics, and AI-enabled solutions, ensuring solutions meet agreed business requirements
• Perform UAT and functional testing, analyzing defects, identifying root causes, and collaborating with delivery teams to propose effective solutions
• Ensure high-quality releases through structured test planning and execution
• Support defect resolution, production incident analysis, and problem management, acting as a business-facing point of contact during early production usage
• Participate in go-live readiness activities, including validation, sign-offs, and post-go-live support to ensure adoption and stability
• Step up during peak cycles, demonstrating flexibility and dependability to meet critical delivery deadlines

Skills

Business analysis

Data analysis

SQL

QA/testing

Stakeholder management

Job description

Are you passionate about bridging the worlds of data, AI, and business to drive meaningful impact in the Life & Health reinsurance space? Do you thrive at the intersection of analytical rigour, quality thinking, and stakeholder collaboration? If so, this could be the role for you.

About the Role

As a Technical Business Analyst within Life & Health Re, you will play a pivotal role in shaping and delivering AI-driven capabilities that are transforming how Swiss Re manages and monitors its global L&H portfolio. You will act as the critical bridge between business stakeholders, AI/data teams, and technology delivery — ensuring that solutions are not only well-specified and rigorously tested, but trusted, adopted, and built to last. This is a high-impact role at the heart of one of Swiss Re's most exciting strategic initiatives.

Key Responsibilities

• 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 document complex business requirements, translating them into clear, actionable functional and non-functional specifications that reflect real business value and operational realities
• Analyze business problems using data-driven approaches, leveraging SQL-based analysis to uncover insights and support decision-making
• Translate business requirements into structured analytical thinking, working closely with AI and data teams to ensure model outputs, recommendations, and reasoning align with business expectations
• Support validation of AI-enabled insights, dashboards, and workflows from a business and functional perspective
• Define and execute functional test scenarios for data, analytics, and AI-enabled solutions, ensuring solutions meet agreed business requirements
• Perform UAT and functional testing, analyzing defects, identifying root causes, and collaborating with delivery teams to propose effective solutions
• Ensure high-quality releases through structured test planning and execution
• Support defect resolution, production incident analysis, and problem management, acting as a business-facing point of contact during early production usage
• Participate in go-live readiness activities, including validation, sign-offs, and post-go-live support to ensure adoption and stability
• Step up during peak cycles, demonstrating flexibility and dependability to meet critical delivery deadlines

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.

About You

You are a curious, detail-oriented professional who brings both analytical depth and strong communication skills to everything you do. You are equally comfortable diving into data as you are facilitating a requirements workshop with senior business stakeholders. You take quality seriously — not as a checkbox, but as a mindset — and you bring structure, rigour, and a collaborative spirit to complex, fast-moving delivery environments. You are energised by the opportunity to work on cutting-edge AI solutions and are motivated by seeing your work make a real difference in how business decisions are made.

We are looking for candidates who meet these requirements:

• 2–3 years of hands-on business analysis and data analysis experience, with a proven ability to translate complex business needs into clear functional specifications
• Strong functional testing and QA background within complex data or technology solutions, including experience defining test scenarios, performing UAT, and managing defect resolution
• Hands-on SQL experience for data analysis, validation, and investigation within data platforms or analytics environments
• Life & Health insurance or reinsurance domain experience, with an understanding of underwriting, in-force management, or actuarial workflows
• Experience working with data platforms, analytics solutions, or AI-enabled products, with the ability to validate outputs and support business adoption

These are additional nice to haves:

• Exposure to AI / GenAI concepts, including prompt engineering, and an interest in how these technologies are applied in a business context
• Experience supporting AI-driven decision support or monitoring solutions
• Familiarity with model governance, explainability, or regulatory expectations in a data or AI context
• Exposure to in-force management, portfolio analytics, or underwriting workflows
• Experience working in large, global enterprise environments with cross-functional, agile delivery teams
• Familiarity with structured stakeholder management in complex, matrixed organizations

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 Corporate Solutions

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer. We anticipate and manage risks, from natural catastrophes and climate change to cybercrime.

Swiss Re Corporate Solutions is the commercial insurance arm of the Swiss Re Group. We offer innovative insurance solutions to large and midsized multinational corporations from our approximately 50 locations worldwide. We help clients mitigate their risk exposure, whilst our industry-leading claims service provides them with additional peace of mind.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. Swiss Re Corporate Solutions embraces 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.

Swiss Re is an equal opportunity employer. It is our practice to recruit, hire and promote without regard to race, religion, color, national origin, sex, disability, age, pregnancy, sexual orientations, marital status, military status, or any other characteristic protected by law. Decisions on employment are solely based on an individual's qualifications for the position being filled.

During the recruitment process, reasonable accommodations for disabilities are available upon request. If contacted for an interview, please inform the Recruiter/HR Professional of the accommodation needed.

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.

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