Collect, analyze, harmonize, and validate large data sets across multiple source systems.
Design, document, and maintain data structures, data mappings, and ETL flows.
Ensure data quality, consistency, and traceability to support regulatory reporting requirements.
Collaborate with business stakeholders to gather, clarify, and document requirements, ensuring formal sign-off.
Analyze financial and accounting data, including balance sheet structures and financial instruments.
Create and maintain metadata documentation, including data lineage, sources, assumptions, and reporting obligations.
Support the functional design of end-to-end data and reporting solutions, including controls and reconciliation processes.
Work with SQL databases (e.g., Snowflake, Oracle, MS SQL) to extract, transform, and analyze data.
Utilize AI tools to improve efficiency and identify opportunities for process automation and innovation.
Manage tasks and collaborate within Agile teams using Jira.

5-10 years of relevant work history (Senior level).
Proven experience in working with large data sets and professional proficiency in SQL (Snowflake, Oracle, MS SQL, etc.).
Ability to define and document data structures and ETL flows within and across applications.
Good knowledge of accounting and balance sheet structures, including various financial instruments.
Experience in documenting metadata (data origins, assumptions) to meet regulatory obligations.
Strong communication skills with the ability to drive discussions with business stakeholders and formalize requirements.
Skills in utilizing AI to make work efficient and introduce new use cases.
Working proficiency in JIRA.

Senior Data Analyst

Key skills