Data Analyst, Reporting
Amsterdam
Adyen
End-to-end payments, data, and financial management in one solution. Meet the financial technology platform that helps you realize your ambitions faster.This is Adyen
Adyen provides payments, data, and financial products in a single solution for customers like Facebook, 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, Reporting
We are looking for an enthusiastic colleague to join one of our finance teams in Amsterdam. In this role, you will be looking to leverage our Big Data infrastructure to deliver actionable insights and drive the automation of external reporting. You will be working together with our product and data teams on our Big Data to automate and innovate the process of reporting. You are the BI master that builds out dashboards for internal insights or a query builder, building skills on handling Big Data. We will try to help you and find your most effective path that will leverage your skills and interests.
Whether you come from the payments space or not, we need you to be an independent and enthusiastic thinker who is curious about how the payments ecosystem works and how that fits in with global commerce.
What you’ll do
- Optimize the regulatory reporting process, following new requirements.
- Translate regulatory reporting requirements into data query languages.
- Bridge finance needs and data availability.
- Build granular reports on our Big Data infrastructure.
- Shape next generation BI dashboards.
- Collaborate with engineers and data scientists to define, test and iterate data solutions.
- Optimize and automate the regulatory reporting process.
- Back-test your knowledge of finance and gain many insights into the payments environment and new age financial products.
Who you are
- Background in a quantitative/technical field such as Econometrics, Statistics or Engineering
- Detail oriented and you want to deliver high quality work
- Motivation to lead large impactful projects
- You have a technical aptitude to address problems with data
- You have experience and are familiar in analyzing data and automating complex data handling through SQL, Python and/or R
- You have experience in data visualization tools such as Looker, Tableau
- Comfortable in a fast-paced environment that requires excellent time management and the ability to multitask and prioritize effectively
- Experience with RegTech, Financial reporting and banking is a plus (an interest in learning more is a must!)
- Experience with big data tooling i.e. Pyspark / Hadoop / Airflow is a big plus, as is Excel VBA
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.
Please note that this role is a full-time position in Amsterdam. It will require a relocation in case you live outside of the Netherlands.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Banking Big Data Data visualization Econometrics Engineering Excel Finance Hadoop Looker PySpark Python R SQL Statistics Tableau
Perks/benefits: Flex vacation Relocation support
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