Business Analyst - Pricing

Data Analytics Singapore

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.

 

Business Analyst - Pricing

As a Business Analyst - Pricing in the Global Cards team, you'll be central to Adyen's financial performance in global card payments. You'll be our product team's expert on interchange and scheme fee charges for cards in APAC, ensuring the accuracy of fee passthrough to customers. You'll build insights to foster a comprehensive understanding of the complex fee network, supporting Adyen's commitment to fee transparency. By analysing large datasets on Adyen's big data platform, you'll uncover new financial optimisation opportunities. Our Global Cards team works closely with global teams, including Product, Finance, and Partnerships.

 

What you'll do:

  • Ensure merchants are charged the most optimal and accurate cost price for transactions.
  • Analyse: Identify the necessary data to address questions, extract the required data, and perform analysis.
  • Optimise: Build and refine technical pricing models, devising methods to detect anomalies and monitor them.
  • Improve: Suggest and develop processing improvements for core payment processes.
  • Configuration: Implement fee change rollouts to maintain our cost infrastructure and manage the merchant experience.

 

Who you are:

  • Academically trained, preferably in a quantitative or technical field such as Econometrics, Statistics, or Engineering;
  • Detail-oriented, aiming to deliver high-quality work;
  • Possess technical aptitude to address problems with data;
  • Skilled in data visualisation tools such as Looker and Tableau;
  • Experienced in analysing data and automating complex data handling using SQL, Python, and/or R;
  • Experience with big data tools like Pyspark, Hadoop, or Airflow is a strong advantage;
  • Excellent at analysing and communicating complex data or technical functionality with commercial teams and Adyen's merchants;
  • Comfortable in a fast-paced environment requiring excellent time management and the ability to multitask and prioritise effectively.

 

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

 

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

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

 

 

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Nuestros ingenieros están diseñando la primera plataforma de tecnología financiera que combina pagos, datos y servicios financieros. Estamos buscando a las personas más talentosas a la hora de solucionar problemas para ayudarnos a abordar un conjunto único de desafíos.

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