Financial Data Analyst

Everfield

1d • Hybrid

About The Position

As a Financial Data Analyst, you will work closely with Finance teams, Everfield’s Business Intelligence team, and regional teams to improve financial reporting and analytics. You will also collaborate with data engineers to create sustainable data pipelines and turn financial data into actionable insights. In this role, you will become a key member of the Business Intelligence (BI) team. The BI team creates value for various stakeholders (CEO, Finance, COO, Payments, and Everfield’s portfolio companies) by creating insights, delivering analysis, automating reporting processes, and improving data quality. The team builds pipelines with Synapse to ingest data into our data platform, uses Databricks for data transformation, and Power BI for data visualization. For analytics, the team also uses SQL and Python. The scope of the team is expected to scale with the company’s growth and maturity level. Everfield will scale from 40 portfolio companies to approximately 80 companies in the next 4 years.

Requirements

• 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.
• Self-starter with an entrepreneurial mindset and customer-centric approach.
• Enthusiastic, approachable, honest, committed, result-focused, and a team player.

Responsibilities

• Align with key stakeholders to understand reporting requirements.
• Create feature development and communication plans.
• Identify new financial data variables to be captured on a portfolio level.
• Perform exploratory data analysis to validate feasibility and propose enhancements.
• Suggest alternatives if requirements cannot be met.
• Design proof-of-concept solutions for user acceptance testing.
• Maintain and update Power BI reports and dashboards.
• Extract raw financial data from NetSuite and other upstream sources.
• Improve data quality and efficiency.
• Support portfolio companies with quality assurance of their financial data.
• Build data systems and pipelines based on a medallion architecture.
• Automate workflows using Python (Pandas, PySpark).
• Create and maintain a financial data glossary.

Benefits

• Long-term career opportunities.
• Collaborate closely with leadership teams within the headquarters and portfolio companies.
• Flexible work environment with offices around Europe (Netherlands, UK, Spain, France, Poland, Germany).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1-10 employees