Junior Data Analyst- Finance and Commercial

United States Digital Space LLC; Amsterdam; On-site; EUR 54,000 - 76,000; Full time

Job summary

United States Digital Space LLC is seeking a Data Analyst in Amsterdam to transform complex data into clear insights guiding commercial decisions. You will contribute to scalable analytics from dashboards to data pipelines, collaborating with senior analysts and data engineers across the business.

This role emphasizes data quality, governance, and automation to drive value. You’ll join a team focused on delivering ethical, high-impact data solutions in a cross-functional environment.

Qualifications

• Proficient in SQL and Python for data analysis and processing.
• Experience with data wrangling and transforming datasets for insights.
• Strong ability to extract meaningful insights and translate into actions.
• Excellent communication and collaboration across global teams.

Responsibilities

• Support cross-functional data needs across Commercial, Finance and Engineering teams.
• Participate in data quality, governance, and documentation of datasets.
• Automate repetitive data tasks using AI and scripting.
• Develop scalable data products and insights for commercial teams.
• Collaborate with stakeholders to ensure accurate, timely data-driven decisions.

Skills

SQL

Python

Data wrangling

Data analysis

Communication

Job description

the company provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At the company, everything we do is engineered for ambition.

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Data Analyst

In this role, you will transform complex data into clear insights that guide commercial decision-making. You will contribute to the development of scalable analytics solutions, from dashboards to data pipelines, while collaborating closely with senior data analysts, data engineers, and cross-functional partners across the business.

This is a high-impact role with a unique opportunity to develop. You'll be joining a team of experts, and we're looking for someone who is passionate about data and technology, eager to learn, and proactive in finding opportunities to create value.

What you’ll do

• Support technical contributions: Support cross-functional data needs by collaborating with stakeholders across Commercial, Finance and Engineering teams.

• Data quality and governance: Play an active role in data governance initiatives by cleaning, transforming, and documenting datasets, escalating data inconsistencies and ensuring accuracy and reliability.

• Automation: Leverage AI to automate manual and repetitive processes.

• Developing insights: Analyze datasets and translate findings into actionable insights for the commercial teams.

• Scalability: Develop and design scalable, reliable, and sustainable data products that can be re-purposed for different use cases.

Who you areMust haves:

• 1-3+ years of experience in data analysis, data wrangling, or related analytical roles.

• Proficiency in SQL and Python (Pyspark beneficial but not needed) for data analysis and processing.

• Good analytical skills: adept at extracting meaningful insights from complex datasets and translating them into actionable recommendations.

• Basic understanding of data validation, reconciliation, and data quality practices.

• Strong attention to detail, particularly in data accuracy and control-oriented environments.

• Good communication and collaboration skills, with the ability to work effectively within a global, multicultural team.

• Fluency with AI tools to automate repetitive tasks (first-draft code, boilerplate documentation, exploratory queries).

• You are proactive and have a deep curiosity for how things work and an analytical mindset that helps you solve problems.

• You are comfortable working in ambiguity and eager to shape your own path.

Plus:

• Familiarity with analytical and statistical techniques (e.g., distributions, correlations, hypothesis testing, regression analysis) and with validation frameworks.

Diversity, Equity, and Inclusion at the company

We actively seek different perspectives to sharpen our ideas. Our unique culture is a product of our diverse backgrounds and experiences. No matter who you are or where you’re from, you’re welcome to be your true self at the company.

*If you need accommodations or support during the recruitment process to perform at your best, you’ll have the opportunity to let our team know in your application. We encourage people from all backgrounds and abilities to apply.*

This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.