Technical Business Analyst I

Mployee.me; Hyderabad; Hybrid; INR 900,000 - 1,200,000; Full time

Job summary

Swiss Re Life Health Reinsurance is seeking a Technical Business Analyst I in Hyderabad, India. You will bridge business stakeholders with AI and data teams, shaping MVPs and validating AI-enabled insights while ensuring robust, high-quality releases in a fast-moving, regulated environment.

You’ll partner with underwriting, operations, and actuarial teams to translate complex needs into functional specifications, perform SQL-based analyses, and lead go-live readiness activities.

Responsibilities

• Build and nurture trusted relationships with internal LH 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
• 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 with AI and data teams to ensure model outputs 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
• Perform UAT and functional testing, analyzing defects and collaborating with delivery teams to propose 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
• Participate in go-live readiness activities, including validation and post-go-live support
• Step up during peak cycles to meet critical delivery deadlines

Job description

Job Summary

Technical Business Analyst I

Location: Hyderabad, India

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.

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 LH 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 Res most exciting strategic initiatives.

Responsibilities

• Build and nurture trusted relationships with internal LH 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 Res 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 LH operations and in-force management - leveraging Swiss Res 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.

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

Nice to have

• 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

Hybrid work model

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