Payments Data Analyst

Vivid Resourcing

Haarlem

On-site

EUR 70,000 - 85,000

Full time

14 days+
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Benefits offered by this job

Up to €85,000 per annum + Bonus
Career growth in a fast-moving organization
Flexible work environment

Job summary

A leading company is seeking a Payments Data Analyst to enhance payment operations and collaborate with various stakeholders. This mid-senior level role involves data analysis, pipeline development, and improving data quality, offering a competitive salary and opportunities for career growth.

Qualifications

  • 5 years of experience in complex or international environments.
  • Proficiency in Python, especially PySpark and Pandas.
  • Solid understanding of the payments ecosystem and experience with PSPs.

Responsibilities

  • Collaborate with stakeholders to understand reporting and data needs.
  • Conduct exploratory data analysis to test requests and suggest enhancements.
  • Design and build scalable data pipelines using a medallion architecture.

Skills

Data Analysis
Data Modeling
Python
Payments Ecosystem
Agile/DevOps

Tools

Power BI
Databricks
Synapse
Azure Data Factory

Job description

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AI & Data Specialist️ | Connecting experienced Artificial Intelligence and Data professionals with exciting payroll opportunities across the...

About the Role

As a Payments Data Analyst, you will play a key role in enhancing our payments operations by collaborating with our Payment Service Providers (PSPs), Payments Leadership (including Heads of Operations, Commercial, and CTO), and portfolio companies. You'll also work alongside two data engineers to develop scalable data pipelines and transform data into actionable insights.

You will join the Business Intelligence (BI) team as its fifth member. Our team supports multiple stakeholders—including the CEO, Finance, COO, and portfolio companies—by delivering impactful insights, automating reporting, and improving data quality.

We build our data infrastructure using Synapse for ingestion, Databricks for transformation, and Power BI for visualization. SQL is also a core tool for analysis. With Everfield expected to grow from 28 to 90 portfolio companies over the next four years, the scope of this role will expand accordingly.

Key Responsibilities:

Requirements Gathering

  • Collaborate with stakeholders to understand reporting and data needs
  • Define feature development and communication plans
  • Identify additional data points to capture at the portfolio level

Data Analysis

  • Conduct exploratory data analysis to test requests and suggest enhancements
  • Propose alternatives when requirements are not technically feasible
  • Maintain and enhance Power BI reports

Data Ingestion & Validation

  • Extract raw data from upstream systems
  • Improve data quality, structure, and efficiency
  • Support portfolio companies with QA on their payment data
  • Organize and prepare raw data for analysis

Data Modeling & Transformation

  • Design and build scalable data pipelines using a medallion architecture

Compliance & Governance

  • Maintain a comprehensive data glossary to support governance and clarity

What We’re Looking For

  • A proactive, self-motivated professional with a customer-centric and entrepreneurial mindset
  • At least 5 years of experience in complex or international environments
  • Solid understanding of the payments ecosystem and experience with PSPs
  • Experience with Synapse, Azure Data Factory, or Databricks is a plus
  • Proficiency in Python (especially PySpark, Pandas)
  • Experience working in Agile/DevOps teams
  • A team player who is approachable, honest, results-driven, and collaborative

What We Offer

  • Up to €85,000 per annum + Bonus
  • Career growth in a fast-moving, expanding organization
  • Opportunity to shape a world-class data platform
  • Work with the latest in Data & Analytics technologies
  • Close collaboration with senior leadership and portfolio companies
  • Flexible work environment with office locations across Europe (Netherlands, UK, Spain, France, Poland, Germany)
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Analyst

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