everfield - Payment Data Analyst
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Requirements
• Self-starter with an entrepreneurial mindset and customer-centric approach. • At least 3–5 years of experience in financial data analysis within an international or complex environment. • Strong experience with NetSuite ERP (data extraction and reporting). • Hands-on experience with Python (Pandas, PySpark) and Power BI (DAX, data modelling). • Knowledge of SQL and data modelling. • Experience working in a DevOps or Agile environment. • Fluent in English. • Above all, a great colleague: enthusiastic, approachable, honest, committed, result-focused, and a team player.
Responsibilities
• Collaborate with key stakeholders to define and document reporting requirement • Develop feature roadmaps and communication plans to align delivery with business needs • Identify gaps in portfolio-level data capture and propose new variables to address them • Conduct exploratory data analysis to assess feasibility and surface opportunities for additional features • Build pragmatic interim solutions to meet reporting needs while permanent infrastructure is developed • Proactively propose alternatives when requirements cannot be fulfilled as specified • Data Visualization • Design and deliver proof-of-concept solutions ready for user acceptance testing • Own the maintenance and continuous improvement of Power BI reports • Data Ingestion, Verification & Validation • Partner with Data Engineers to extract and integrate raw data from upstream sources • Drive data quality improvements across the portfolio, including supporting portfolio companies with payments data quality assurance • Liaise with PSPs to align on definitions and calculation methodologies, ensuring consistency between their reporting and internal figures • Analyse, structure, and document raw datasets for downstream use • Data Modelling & Transformation • Design and build scalable data pipelines and systems following a medallion architecture • Artificial Intelligence • Contribute to making data accessible for AI-powered solutions, including exposure via MCP servers and related tooling • Compliance & Security • Develop and maintain a company-wide data glossary to support governance and consistency
Benefits
• Grow your career in a fast phased and growing organization. • Enable exponential growth by designing a world class data platform. • Working with the latest Data Analytics technologies. • Long term career opportunities. • Working closer to leadership teams within the Head Quarters and Portfolio Companies. • Flexible work environment with offices around Europe (Netherlands, UK, Spain, France, Poland, Germany). • Interested? We would love to hear from you!
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