Data Analyst(Netherlands)

CubeMatch Ltd.; United States; On-site; USD 70,000 - 100,000; Full time

Job summary

CubeMatch Ltd. is seeking an experienced Data Analyst to support a Finance and Risk Data transformation initiative in the United States. This role involves analysing complex datasets using Python, ensuring data accuracy and compliance with regulatory standards like BCBS239.

The ideal candidate will develop interactive dashboards in Power BI, document analytical processes, and collaborate with various teams to enhance data governance and reporting accuracy.

Qualifications

• Strong experience in data analysis using Python.
• Proven experience in developing dashboards and reports using Power BI.
• Experience in finance or risk environments with complex datasets.

Responsibilities

• Analyse finance and risk datasets using Python.
• Support standardisation of data business logic across reporting.
• Develop interactive dashboards in Power BI.
• Ensure compliance with BCBS239 requirements.
• Collaborate with various teams for data governance.

Skills

Data analysis using Python

Developing dashboards in Power BI

Working with large datasets

Understanding of data governance principles

Familiarity with BCBS239

Tools

Power BI

Python (Pandas, NumPy)

SQL

Job description

Job Description

CubeMatch is seeking an experienced Data Analyst to support a Finance and Risk Data transformation initiative focused on standardising data business logic across the entire reporting chain. This role will play a key part in analysing complex datasets using Python, ensuring data accuracy, consistency, and regulatory compliance, particularly aligned with BCBS239 requirements for data lineage and governance.

Key Responsibilities

• Analyse complex finance and risk datasets using Python to identify inconsistencies, patterns, and opportunities for standardisation.
• Support the standardisation of data business logic across the full reporting lifecycle, ensuring consistency and transparency.
• Develop and maintain interactive dashboards and visualisations in Power BI to communicate analytical results and insights to stakeholders.
• Ensure data complies with BCBS239 regulatory requirements, including documenting and maintaining clear data lineage.
• Collaborate with Finance, Risk, Data, and DevOps teams to support data governance, reporting accuracy, and process improvements.
• Assist in defining and validating data definitions, transformations, and business rules.
• Contribute to data quality assessments and support remediation of data-related issues.
• Work within a SCRUM-based agile environment, participating in sprint planning, stand‑ups, and retrospectives.
• Document analytical processes, methodologies, and outputs to support transparency and audit readiness.
• Support pilot project objectives and provide recommendations for broader implementation.

Qualifications / Essential Skills & Attributes

• Strong experience in data analysis using Python (e.g., Pandas, NumPy, data manipulation and analysis).
• Proven experience in developing dashboards and reports using Power BI.
• Experience working with large and complex datasets in finance or risk environments.
• Understanding of data governance principles and data lineage requirements.
• Familiarity with BCBS239 regulatory principles (or similar financial data governance regulations).
• Knowledge of SQL and relational databases is highly desirable.
• Basic knowledge of data modelling concepts is an advantage.

As an equal opportunity employer, all employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.