BA/SME Databricks - Finance Transformation, temporary

Work with Group Finance, BU Finance and data/analytics teams to identify and refine use cases for Databricks (e.g. finance data pipelines, advanced analytics, scenario analysis, data products). Gather and challenge business requirements and translate them into clear functional specifications for Databricks solutions. Assess which requirements should be implemented on Databricks vs. other platforms (SAP, Anaplan, BI tools), in line with the Finance technology strategy. Define and document Finance processes that rely on Databricks (e.g. data preparation for reporting, modelling workflows, analytics). Contribute to the Databricks operating model for Finance: roles, responsibilities, ways of working with Group IT / data platform teams. Evaluate solution options for Finance needs. Develop business cases for Databricks initiatives, including benefits (data quality, automation, speed, insight), effort and cost. Support prioritisation of Databricks use cases within the Finance Transformation roadmap. Translate business needs/requirements into user stories, acceptance criteria. Define test cases and acceptance criteria for Databricks solutions from a Finance perspective. Coordinate UAT with Finance users, manage defects and support resolution. Ensure Databricks initiatives remain aligned with the target Finance technology and data architecture defined by the Business Solution Architects.

Zurich is a leading multi-line insurer, serving over 82 million customers in more than 200 countries and territories with more than 65,000 employees. For over 150 years, Zurich has been transforming insurance – offering not just protection, but also prevention services that promote well-being and climate resilience. Guided by our purpose to ‘create a brighter future together,’ we aim to be one of the most responsible and impactful businesses in the world.

• Experience as Business Analyst or SME in Finance, data or analytics projects.

• Good understanding of Finance / Group Finance processes.

• Practical experience with data platforms or analytics environments; hands on exposure to Databricks is a strong advantage.

• Familiarity with concepts such as data pipelines, data modelling, data products, and analytics/BI.

• Experience working with IT / data engineering teams on shared solutions.

• Strong requirements gathering and documentation skills.

• Ability to analyse solution options and build business cases in a clear, structured way.

• Structured, analytical and solution oriented mindset.

• Ability to simplify complexity and communicate clearly to non technical audiences.

• Experience working in complex, global programmes, preferably in the insurance or financial services sector.

• Strong collaboration skills and a “one team” attitude, supporting both Finance and IT colleagues.

• Fluent in English (written and spoken); additional languages are an advantage.