Data System Analyst

Data Systems Analyst

Leading Insurance & Financial Services Company

About the Role

An exciting opportunity to take a key role in designing and developing data products and data infrastructure that support research, analytics, and business operations across a leading insurance and financial services organization.

The role involves close collaboration with business and technical stakeholders, leading end-to-end data analysis and requirements definition processes, and translating complex business needs into advanced, scalable data solutions.

Requirements

• At least 4 years of experience as a Systems Analyst in data-focused environments. Experience in the financial services or insurance industry is a significant advantage.
• Proven experience in end-to-end Data Product analysis and specification, from understanding business requirements and defining data sources and business logic to delivering data solutions to end users.
• Strong ability to translate business needs into clear data requirements, including defining KPIs, metrics, business entities, and calculation rules.
• In-depth understanding of data modeling, Data Engineering processes, and data architecture.
• Experience with Data Quality, including defining quality rules, quality metrics, and acceptance criteria for Data Products.
• Experience working with modern data platforms, particularly Databricks and Microsoft Azure.
• Advanced SQL skills, including writing complex queries, performing independent data investigations, validation, and quality checks.
• Hands-on experience with Python, particularly in data processing and data infrastructure environments.
• Experience with technical documentation, version control, and working with Git.