Optimization Data Analyst, Adyen
Payments platform built to grow businesses
Be an early applicant
Payments platform built to grow businesses
1001+ employees
Be an early applicant
1001+ employees
Company mission
To make payments choices easy for merchants.
Role
Who you are
- The ideal candidate is someone who is able to approach and understand complex problems in a structured manner, while converting the results into a compelling and actionable story for internal or external stakeholders, like our merchants
- 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
- You have at least 5 years of relevant working experience in the Data & Analytics field
- You have excellent analytical and data wrangling skills, with advanced proficiency in PySpark/ Python
- Experience using descriptive and inferential statistics (e.g., distributions, correlations, hypothesis testing, regressions)
- Expertise in leveraging data to uncover meaningful and actionable insights, paired with the ability to craft compelling data stories that effectively present findings and recommendations to executives, driving informed decision-making
- Experience with data visualization platforms (e.g., Looker, Tableau)
- Familiarity with Big Data tools and platforms such as Spark and Airflow, and proficiency in version control using Git
- Ability to design and develop efficient and scalable ETL and data pipelines for datasets, including the use of automated data validation to ensure reliability
- Ability to manage multiple priorities and deliver results in a fast-paced environment
- Excellent communication and collaboration skills, with a global perspective and ability to interface seamlessly with a global, multicultural team
- Experience in FinTech or Payments is a plus
- 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 the job involves
- We are looking for a Data Analyst to join our Optimization Data Analytics team
- This role will split focus equally between supporting our top customers, and working on automation and scaling projects, leveraging technical skills to enhance team efficiency and support self-service analytics for the Account Management organization
- Framework Development: Collaborate with cross-functional data teams to develop scalable and reusable frameworks for evaluating large datasets on pressing business questions
- Data Analysis: Determine the necessary data required to solve a wide variety of business problems; extract required data, draw conclusions, and provide recommendations. Whether it’s providing insights to our key products or facilitating new experiments with our merchants, you’ll be driving new initiatives to help Adyen grow 20x
- Be a Subject Matter Expert: Act as Adyen’s SME for both merchants and internal stakeholders on payment optimization
- Data Strategy: Shape the next generation of BI and data infrastructure. Build self-service tools to enable business users and contribute to automation and scaling projects
- Storytelling: Turn your findings into effective communication and concise, actionable advice by connecting the data to a story. You will be presenting to internal customers, but also to our merchants (the biggest and well known brands in the world) directly
- Stakeholder Management: Collaborate with Account Managers, Product teams, and other Optimization Data Analysts to align on data best practices and priorities. Gather requirements, provide data insights, and address inquiries. Communicate findings, recommendations, and progress clearly and concisely
- Technical Contributions: Write complex and high performing Python/SQL queries, perform robust data manipulations, and utilize advanced statistical techniques. Develop and optimize data pipelines using PySpark and other Big Data tools. Create and optimize ETLs, ensuring data consistency and reliability. Design and develop LookML models and Looker dashboards
Application process
- 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
Salary benchmarks
Our take
Adyen has been one of the most successful businesses in Europe over the last decade. When it went public in 2018 at a valuation of €7 billion, it raised over €1 billion and its share price popped on the first day, resulting in a valuation of €14 billion. And its valuation has continued to climb in the years since.
Adyen competes with large players like PayPal, as well as outsized startups like Stripe, to power payments and provide other infrastructure to conduct digital transactions. Disrupters in the field have been buoyed by a strong rise in eCommerce activity, where some or all of a transaction by a customer is made either online or by mobile.
Adyen has been one of the companies riding the wave by helping interested businesses to choose and then implement online payments - without the usual hoops to step through. Notable partners have included Autocanteen, a touchless self-checkout solution for the hospitality industry, and BILL, a small business-focused fintech platform.
Steph
Company Specialist at Welcome to the Jungle
Insights
36% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Sep 2015
$56m
GROWTH EQUITY VC
Dec 2014
$250m
SERIES B
Total funding: $323.9m
Company benefits
- Global exchange program
- Weekly happy hour
- Delicious healthy lunches
- Phantom share package
- Yearly trip to Amsterdam
- Paid holidays
- Work from home opportunities
Company HQ
Nieuwmarkt en Lastage, Amsterdam, Netherlands
Leadership
Pieter Van Der Does
(Co-Founder & CEO)Previously Chief Commercial Officer at Bibit (payments company) before co-founding Adyen in 2006.
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