Payment Data Analyst

Everfield

20h•Hybrid

About The Position

As our Payments Data Analyst, you will be the go-to person for all things Payments Business Intelligence. You will be the bridge connecting Everfield's Payments organisation with the broader Business Intelligence function. You will translate complex payments data into clear, actionable insights that drive real business decisions. In this role, you will work closely with Payment Service Providers, Business Units, and senior Payments stakeholders including the Payments Leads, Head of Operations, Head of Commercial, and CTO. Alongside two Data Engineers, you will build sustainable data pipelines and own the end-to-end journey from raw payments data to meaningful business intelligence. You will become a key member of Everfield's Business Intelligence team, a team that creates value for stakeholders across the business, including the CEO, CFO, COO, Payments leadership, and Everfield's portfolio companies. The team delivers this through actionable insights, automated reporting, in-depth analysis, and continuous improvement of data quality. The stack includes Azure Synapse for data ingestion, Databricks for transformation, Power BI for visualisation, and SQL for analytics. This is a role with real room to grow. As Everfield scales from 40 to approximately 80 portfolio companies over the next four years, the scope and impact of the BI team, and this role within it, will scale with it.

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
Design and deliver proof-of-concept solutions ready for user acceptance testing
Own the maintenance and continuous improvement of Power BI reports
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
Design and build scalable data pipelines and systems following a medallion architecture
Contribute to making data accessible for AI-powered solutions, including exposure via MCP servers and related tooling
Develop and maintain a company-wide data glossary to support governance and consistency