Data Analyst II - Finance and Commercial

Posted 6 Hours Ago
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Amsterdam, NLD
Hybrid
Mid level
Fintech • Payments • Financial Services
Meet the financial technology platform helping the world’s leading businesses achieve their ambitions faster.
The Role
Transform complex data into actionable commercial insights through analytics, dashboards, data pipelines, data governance, and automated reporting. Build and maintain LookML models and Looker dashboards, support SQL and Python-based ETL improvements, clean and document datasets, and collaborate with data and revenue operations teams. Analyze business data, improve data quality, and develop scalable analytics solutions. Occasional business travel is required.
Summary Generated by Built In

This is Adyen

Adyen 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 Adyen, 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.

What you’ll do 

  • Support technical contributions: Assist in the development and optimization of Revenue Operations data pipelines using SQL, Python, and big-data tools. Contribute to ETL improvements to ensure data consistency and reliability.
  • Reporting and dashboards: Build and maintain LookML models and Looker dashboards to deliver accurate, timely insights to commercial stakeholders
  • Data quality and governance: Play an active role in data governance initiatives by cleaning, transforming, and documenting datasets, ensuring accuracy and reliability.
  • Automation: Contribute to the automation of recurring reporting processes (e.g., Quarterly Business Reviews, pipeline reporting)

Scalability: Develop scalable, reliable, and sustainable data products that can be re-purposed for different use cases.Collaboration: Work closely with cross-functional data teams and other Revenue Operations functions to align on data initiatives and technical improvements.

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

Who you are 


Must haves:

  • 2-4 years of experience in Data Analytics with proven expertise in the field.
  • Proficiency in Python and SQL for data analysis and processing.
  • Good communication and collaboration skills, with the ability to work effectively within a global, multicultural team.
  • Data Wrangling expertise: skilled in cleaning, transforming, and organizing large datasets, handling missing data, detecting outliers, and ensuring data integrity.
  • Good analytical skills: adept at extracting meaningful insights from complex datasets and translating them into actionable recommendations.
  • Flexibility for occasional business travel to support global collaboration and projects

Plus:

  • Familiarity with analytical and statistical techniques (e.g., distributions, correlations, hypothesis testing, regression analysis) and with validation frameworks.
  • Exposure to big-data tools such as PySpark, Airflow or Git.
  • A background in econometrics, data science, engineering, or other quantitative studies

Skills Required

  • 2-4 years of experience in data analytics
  • Proficiency in Python and SQL for data analysis and processing
  • Strong communication and collaboration skills in a global, multicultural team
  • Data wrangling experience, including cleaning, transforming, organizing datasets, handling missing data, detecting outliers, and ensuring data integrity
  • Strong analytical skills and ability to translate complex data into actionable recommendations
  • Flexibility for occasional business travel
  • Familiarity with analytical and statistical techniques, including distributions, correlations, hypothesis testing, and regression analysis
  • Familiarity with validation frameworks
  • Exposure to big-data tools such as PySpark, Airflow, or Git
  • Background in econometrics, data science, engineering, or another quantitative field

What the Team is Saying

Bhumika
Blaine
Ayesha
Tulasi
Robbie
Suzanne
Katie
Zachary
Savannah
Sam
Adam
Lindsay
Maxine
Sandeep
Rose
Chris
Harsh
Maxine
Sudhee
Sam
Sandeep
Pragad
Katie
Adam
Edward
Zachary
Sudhee
Adra
Bhumika
Harsh
Christianne
Sarah
Pragad
Ayesha
Savannah
Robbie
Madeline
Gargi
Gargi
Blaine
Zachary
Madeline
Gargi
Bhumika
Harsh
Rose
Katie
Megan
Harsh
João
Rose
Suzanne
Leslie
Harsh
Savannah
Rose
Rose
Catherine Ye
Catherine Ye
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The Company
HQ: Amsterdam
4,771 Employees
Year Founded: 2006

What We Do

Adyen (ADYEN:AMS) is the financial technology platform of choice for leading companies. By providing end-to-end payments capabilities, data-driven insights, and financial products in a single global solution, Adyen helps businesses achieve their ambitions faster. With offices around the world, Adyen works with the likes of Meta, Uber, H&M, eBay, and Microsoft.

Why Work With Us

At Adyen, everything we do is engineered for ambition. We started with payments, at a time when providers offered services based on a patchwork of systems built on outdated infrastructure. Ambition demanded more. So we set off to build a financial technology platform for the modern era, entirely in-house, from the ground up.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We believe that in-person collaboration is the best route to building genuine connection. We’re an office-first company that offers flexibility when needed. We trust our team to act with autonomy and make good choices.

Typical time on-site: Flexible
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