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If you enjoy understanding a business need, designing the right solution, and staying involved until it is successfully deployed to production — this role is for you.
We are looking for an experienced Data Systems Analyst to serve as the link between business stakeholders and development & infrastructure teams.
In this role, you will own the full lifecycle of business requirements — from understanding the business need and designing the solution and data model, through hands-on development of data processing workflows and all the way to production.
The role is technology-agnostic. We are looking for someone who can step into different environments, learn them deeply, and deliver value across on-prem and cloud environments, relational and NoSQL databases, and batch and real-time processes.
The focus is on strong analytical thinking, end-to-end ownership, and the ability to translate business requirements into production-ready code — rather than expertise in a specific technology.
What you'll do
Gather and analyze business requirements with stakeholders across Insurance, Long-Term Savings, Finance, Customer Service, and Actuarial teams, and translate them into functional and technical specifications.
Design and develop data models and DWH structures supporting core business processes, reporting, analytics, and regulatory requirements.
Write complex SQL queries, optimize performance, and troubleshoot bottlenecks in high-volume production environments.
Design and implement system integrations, file transfer processes, and real-time synchronization mechanisms.
Work closely with Development and QA teams throughout the entire lifecycle, from requirements and design through delivery, including integration testing and data quality validation.
Coordinate production deployments, working with relevant teams and business units, and monitor processes following deployment.
Maintain documentation, version control, and CI/CD processes in accordance with organizational standards.
Requirements
5+ years of experience in systems analysis and data processes, including proven experience writing comprehensive functional and technical specifications.
Strong SQL skills, including writing procedures and functions, analyzing execution plans, and query optimization.
Hands-on experience developing and maintaining ETL/ELT processes in large-scale enterprise data environments.
Experience working with both relational and non-relational databases.
Strong understanding of data modeling, including dimensional modeling, Star Schema, and normalization.
Proven ability to work independently and own the process end-to-end — from understanding a business requirement to delivering production-ready code.
Experience working with business stakeholders and communicating technical concepts to non-technical audiences.
Familiarity with Agile and Scrum methodologies.
What will make you successful:
Strong analytical and problem-solving skills, with the ability to break down complex challenges into actionable solutions.
High level of ownership and accountability.
Ability to work effectively in a fast-paced environment with multiple stakeholders.
Strong communication and collaboration skills.
Technological curiosity and a willingness to learn new tools and environments.