Senior Data Analyst

Project description

You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.

This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.

The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.

Responsibilities

• Requirements elicitation, documenting and management.
• Create rules based on gathered requirements using internally-built language (similar to KNIME)
• Conduct insightful, ad hoc analysis to investigate possible production issues.
• Maintaining project backlog
• Participate in product increment acceptance testing and testing results analysis

Skills

Mandatory Skills Description:

• 6+ years of requirements management / business analysis experience

• Capital markets experience, candidate should be able to explain at least on financial product

• SQL knowledge, be able to write complex SQL queries

• Scripting experience (R, Python, VBA or any other language)

• Technical Knowledge, ability to read the code

• Experience in process analysis and documenting

• Strong analytical and communication skills

• Proactive team player, stress resistant

Nice-to-Have Skills Description:

• Experience working with large-scale enterprise data platforms

• Knowledge of cloud environments and modern data platform architectures

• Understanding of CI/CD practices and automated deployment pipelines

• Experience working in Agile / Scrum teams within a distributed global setup