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 Payments Pricing 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 LATAM, 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 rule-based models, devising methods to detect anomalies and monitor them.
• Improve: Suggest and develop processing improvements for core payment processes leveraging AI.
• Configuration: Implement fee change rollouts to maintain our cost infrastructure and manage the merchant experience.

Who you are:

• You have relevant experience in analysing data and automating complex data handling using SQL or Python;
• 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;
• 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;
• Full professional proficiency in English.

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 in our São Paulo office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles. 

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.

The Role

Adyen’s Regulatory Reporting Tech team is seeking a Data Analyst to join us in Amsterdam. You will help in further automating and scaling our global regulatory reporting framework to keep Adyen compliant across all markets. 

Together with the team, you will implement key technical solutions to streamline our regulatory reporting operations. If you have a strong analytical background and love solving complex problems, we want to hear from you.

What will you do

• End-to-End Project Ownership: You will lead the full lifecycle of our Statistical and Prudential reporting. Your role is to set the direction and lead these critical initiatives independently from the initial idea to the final implementation.

• Collaborative Scoping: Working side-by-side with Regulatory Analysts, you’ll brainstorm and implement the logic required to turn raw data into compliant insights. Together, you will translate these mandates into clear technical scopes, ensuring that no detail is lost in translation.
• Technical Build & Automation: Work alongside Data Engineers to build and maintain high-performance data pipelines. You will ensure that reports are fully automated and run on a reliable schedule, removing manual toil from the compliance process.
• Building Data Trust: Brainstorm and implement rigorous validation frameworks in collaboration with the team. You will be responsible for the "sanity checks" that ensure our reports are complete, accurate, and trustworthy before they are submitted to global regulators.
• Act as a Multiplier: Your influence will extend beyond your own team. You will proactively unblock other teams that depend on your work and mentor colleagues through insightful feedback and code reviews that inspire better solutions across the board

Who you are

• Technical: you are proficient in SQL, Python, and BI tools (e.g., Looker), with familiarity in big data tools or Pyspark being a strong advantage.
• Strategic: you are able to collaborate with non-technical teams and translate business requirements into technical plans.
• You have a background Regulatory, AML or Risk data and understand the importance and inner working of working within a highly regulated banking environment.
• As an expert executor, you excel at breaking down complex problems, prioritizing effectively, and aligning your work with strategic goals.

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 Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

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, Merchant Finance and Treasury

Adyen is looking for a Business Analyst to join the Merchant Finance and Treasury team in San Francisco. As Merchant Finance & Treasury we are the financial backbone of Adyen; optimizing and automating financial processes for scale, mitigating risks, and enabling growth through customer-centricity, operational excellence, innovation and integrity.

This is a varied, hands-on role in which you will execute, monitor, and reconcile high-volume daily payout processes to ensure timely and accurate disbursements to our Merchants. Your responsibilities will range from solving daily operational problems and optimising our financial processes, to ensure we scale for the future. 

What you’ll do

• Monitor our daily Payouts operation, managing exceptions, failures and rejects, working with external partners and internal teams to solve issues swiftly;
• Monitor and execute daily Cash-Management operations to ensure balances are available to cover the Payouts. 
• Improve internal daily processes, with a focus on payouts to merchants, to help scale our business;
• Provide internal stakeholders with insights into our key financial and operational processes to influence key decision making and help Adyen scale further;
• Use Data analysis to solve business problems; draw conclusions and recommendations for optimization and automation; 
• Partner with our technical and products teams to design,automate and improve our processes as well as having controls and monitoring in place; 
• Build relationships with both internal and external stakeholders to ensure effective management and communication of progress to all parties. 

Who you are

• 2-5 years work experience;
• Work experience in a high-volume payouts in accounts payable, treasury operations, acquirers or banking operations role is a plus;
• Excellent analytical skills and the ability to translate detailed requirements into business solutions;
• Knowledge about payments ecosystem (e.g. ACH) in the US is a plus;
• Experience with process improvement, optimisation and/or automation is a plus;
• Strong proficiency in Excel, as well as experience with data analysis and monitoring tools such as Looker and Grafana are a plus;
• Ability to interface and cooperate seamlessly with a global team;
• Exceptional attention to detail, a strong sense of ownership and quick to pick-up the phone to involve multiple teams;
• Ability to work independently, manage priorities, and meet strict daily deadlines.

Please note that this role is a full-time position in San Francisco. It will require a relocation in case you live outside of the city.

The annual base salary range for this role is $105,000.00 - $137,000.00; to learn more about our compensation philosophy, please click here.

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 between 3 or 4 weeks to complete. Don’t be afraid to let us know if you need more flexibility.

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.

Enterprise Risk is a function in Adyen’s Second Line organization. The function manages a wide range of risk management topics ranging from Financial risk to Technology risk and from Strategic risk to Operational risk. The function has a key role in Adyen’s risk management framework and has a strategic and advisory role by independently challenging, overseeing, and advising the rest of the company. 

Senior Data Analyst - Risk

We're looking for a proactive, technical, and thorough Data Analyst to join our Enterprise Risk team in Amsterdam. As part of the Enterprise Risk team within Adyen’s Second Line, you will work alongside risk experts and data analysts to reimagine risk management through technology, embedding new functionalities that drive automation, optimization, and data-driven decision-making. Our mission is to empower Second Line (risk) teams with innovative solutions and actionable insights while building the foundation for an automated risk management landscape. 

While financial and risk acumen are a big plus, strong technical skills in data transformation, data governance, and automation are very important for this role. What sets you apart for this role are strong technical skills in data transformation, data analytics, and stakeholder management.

What you’ll do

• Build and scale; design the foundation of Enterprise Risk’s data capabilities and identify growth areas that multiply the effectiveness of the team.
• Develop, optimize and maintain our BI infrastructure on Looker using SQL and Python. 
• Create scalable solutions to risk management that ensure data accuracy, consistency, and accessibility.
• Drive the automation of manual risk assessment processes by identifying opportunities for optimization and implementing technical solutions to improve efficiency.
• Partner closely with the different teams in Enterprise Risk to understand their needs, leverage their expertise and capacity, and simplify complexity through smart, user-focused solutions.
• Liaise with other Data teams in the Second Line and leverage their expertise to apply to Enterprise Risk’s scope.
• Champion data governance and data quality by ensuring data integrity, security, and access control through best practices.

Who you are

• An experienced data professional with a proven track record of 5+ years in a (technical) data analyst, business intelligence, or similar role.
• Proficient in Python, SQL, PySpark, and BI tools (e.g. Looker). Experience with big data tools like Spark, Hadoop, Git, and Airflow is a strong advantage.
• You enjoy working in a high-paced, technology-driven environment where you may need to shift priorities.
• You work with intention, a strong sense of ownership, and a bias for action.
• You are comfortable talking straight and challenging the status quo, specifically with the ability to interact and collaborate with a variety of internal stakeholders from diverse disciplines and cultures.
• Self-motivated, proactive, and result driven, always searching for scalable ways to streamline and add value to the business with attention to detail and high quality results.
• You hold a track record of various initiatives and implementation of them.
• An excellent communicator and collaborator, with the ability to translate complex technical concepts into clear and actionable insights for both technical and non-technical audiences.
• Experience working with risk management, financial data, and banking are a big plus

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 Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

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.

The Role

The Compliance Data team sits at the intersection of regulatory excellence and data innovation. We don't just "report" on compliance; we build the analytical engine that ensures Adyen scales safely. Our mission is to manage risk at scale through automated, platform-wide data solutions that identify risks before they become issues.

What will you do

• Automate Compliance: Replace manual, sample-based processes with scalable solutions that cover our entire global portfolio.
• Bridge the Gap: Translate complex regulatory requirements into clear data points and prioritized roadmap items 
• Build data literacy: Drive adoption of data skills to elevate data fluency, enable self-service analysis, and foster data-driven decision making.
• Monitor Risk: Design and maintain frameworks to proactively detect compliance gaps across Adyen’s global platform.
• Own Data Integrity: Partner with Engineering to refine data structures, ensuring our compliance assets are accurate, accessible, and audit-ready.
• Drive Strategy: Define and support cross-functional initiatives that transition our compliance approach from reactive to data-driven.

Who you are

• Technical: you are proficient in SQL, Python, and PySpark, specifically within Big Data using Spark, Airflow, and Git essential for our scale.
• Strategic: you are able to collaborate with non-technical teams and translate business requirements into technical plans.
• Detail-oriented: you are able to pinpoint inaccuracies and analyze behavior within large datasets with a company-wide impact.
• Automation-First: Identify and prioritize automation opportunities, balancing efficiency gains with an understanding of day-to-day operational realities
• You have a background in Compliance, Finance, Risk, or similar industries and teams and understand the importance and inner working of working within a highly regulated banking environment.

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 Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

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.

Engineering Manager: Applied (Gen)AI - Payments

The Applied Gen(AI) team is a pioneering unit within Adyen’s Payments department, dedicated to leveraging (Generative) AI to transform how we work. The team builds intelligent systems that solve real-world payment complexities at scale. Currently, the team focuses on solving high-impact operational workloads and making critical information more accessible through intelligent automation. Looking ahead, this team is positioned to potentially evolve into a center of excellence, providing internal AI consulting and driving strategic AI initiatives across the entire company.

As an Engineering Manager in this space, you will be an entrepreneurial leader tasked with contributing to the foundation of AI at Adyen. You will drive business outcomes by bridging the gap between cutting-edge AI capabilities and real-world payment operations, while fostering a high-performance culture of rapid iteration. You will be leading and growing an autonomous and experimental, small team of AI-engineers. 

What you’ll do

• Impact-Driven Leadership: Drive the team autonomously toward success by focusing on measurable business and organizational outcomes that reduce operational friction.
• Strategic Stakeholder Management: Effectively "manage up" and exercise influence across the organization to align AI initiatives with Adyen’s overarching vision.
• Formula Fit Execution: Champion the "Adyen Formula" by launching products fast and iterating based on real-world feedback to ensure constant value delivery.
• Product Discipline: Partner with product peers to lead prioritization and roadmapping, pragmatically balancing technical debt with the delivery of innovative AI features.
• People Management: Act as a dedicated mentor and coach to grow engineering talent. This role involves growing the team (hiring and headcount planning) and focusing on the development of the current team.
• Technical Guidance: Provide architectural direction for AI and software engineering projects, ensuring solutions are scalable, reliable, and secure. We expect a player-coach mindset, where you balance people management, strategy, architecture and hands-on work. 
• Team Environment: Cultivate a culture of ownership, autonomy, and open communication where constructive feedback is the norm.

Who you are

• Experienced Leader: You have 2+ years of experience leading engineering teams and 5+ years of hands-on experience in Software Engineering and AI development.
• Entrepreneurial Self-Starter: You are a dynamic individual who thrives in fast-paced environments, capable of driving initiatives from ideation to completion with minimal oversight.
• Technical Background: You possess a strong foundation in core Software Engineering (e.g. Java or Python) and have experience with deploying (Gen)AI/Machine Learning in production.
• Stakeholder-Savvy: You can clearly explain complex technical AI concepts to non-technical stakeholders and align diverse needs into a unified roadmap.
• Quality & Growth Mindset: You are not afraid to challenge the status quo and possess an innate curiosity to explore how (Gen)AI can redefine payment industry standards.
• Product Mindset: You think in terms of user needs, scalability, and long-term vision for payment and billing solutions.

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 Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

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 

We are seeking an experienced Data Analyst  to play a critical role in driving scalable optimizations and advanced analytics across Adyen’s global Performance Optimization team. As a mid-level analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver actionable insights that maximize merchant growth.

This role is ideal for an experienced analyst looking to deepen technical impact while influencing product and business outcomes at scale.

What You’ll Do

• Data-Driven Optimization: Analyze large-scale payment datasets to identify performance trends, uncover optimization opportunities, and deliver high-impact recommendations to our biggest customers, while identifying and driving scalable opportunities that benefit the broader merchant base.
• Scalable Tooling & Automation: Design and build scalable analytics solutions, automation pipelines, and self-service tools that empower internal teams and stakeholders.
• Cross-Functional Collaboration: Partner with Product, Data, and Commercial teams to translate business challenges into analytical solutions, driving continuous platform improvements.
• Advanced Problem-Solving & Experimentation: Lead complex A/B testing and data investigations, shaping data-driven strategies and validating hypotheses with analytical rigor.
• Strategic Data Storytelling: Drive strategic discussions by synthesizing complex data into compelling narratives, tailoring insights for technical and non-technical audiences, and positioning the Performance Optimization team as a key business enabler.
• Mentorship & Best Practices: Support knowledge-sharing within the Performance Optimization team, contributing to the elevation of analytical standards and technical excellence.
  
  

Who You Are

• 3–5 years of relevant experience in a data analytics, data science, or similar role, ideally in fintech, payments, or a high-growth tech environment.
• Strong proficiency in Python, SQL, and PySpark, with hands-on experience in large-scale data processing.
• Ability to design and develop efficient and scalable ETL and data pipelines for datasets, including the use of data validations to ensure reliability.
• Familiarity with big data tools (Spark, Airflow) and version control using Git.
• Solid experience with data visualization tools (e.g., Looker, Tableau) and dashboard development.
• Deep understanding of statistics, hypothesis testing, and data mining.
• Strong cross-functional collaboration and stakeholder management skills, with the ability to influence product and business outcomes.
• Proactive, self-directed, and able to manage multiple priorities in a dynamic, global environment.
• Excellent communication and storytelling skills, translating data insights into business value.
•  You speak fluently Portuguese and English

Important Information:

• Please, note that this role is a full-time position in Sao Paul o(3 days in office, 2 at home). It will require a relocation in case you live outside of these areas.
• Please apply with an English resume. Our full interview process is conducted in English.
• Applicants must be legally authorized to work in Brazil. We do not offer visa sponsorship for this position. We offer relocation package to successful candidates with legal right to work in Brazil internationally and locally to Sao Paulo. 

**Internally the role being called Optimization Data Analyst 

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 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.

Optimization Data Analyst 

We are seeking an experienced Optimization Data Analyst  to play a critical role in driving scalable optimizations and advanced analytics across Adyen’s global Performance Optimization team. As a mid-level analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver actionable insights that maximize merchant growth.

This role is ideal for an experienced analyst looking to deepen technical impact while influencing product and business outcomes at scale.

What You’ll Do

• Data-Driven Optimization: Analyze large-scale payment datasets to identify performance trends, uncover optimization opportunities, and deliver high-impact recommendations to our biggest customers, while identifying and driving scalable opportunities that benefit the broader merchant base.
• Scalable Tooling & Automation: Design and build scalable analytics solutions, automation pipelines, and self-service tools that empower internal teams and stakeholders.
• Cross-Functional Collaboration: Partner with Product, Data, and Commercial teams to translate business challenges into analytical solutions, driving continuous platform improvements.
• Advanced Problem-Solving & Experimentation: Lead complex A/B testing and data investigations, shaping data-driven strategies and validating hypotheses with analytical rigor.
• Strategic Data Storytelling: Drive strategic discussions by synthesizing complex data into compelling narratives, tailoring insights for technical and non-technical audiences, and positioning the Performance Optimization team as a key business enabler.
• Mentorship & Best Practices: Support knowledge-sharing within the Performance Optimization team, contributing to the elevation of analytical standards and technical excellence.
  
  

Who You Are

• 3–5 years of relevant experience in a data analytics, data science, or similar role, ideally in fintech, payments, or a high-growth tech environment.
• Strong proficiency in Python, SQL, and PySpark, with hands-on experience in large-scale data processing.
• Ability to design and develop efficient and scalable ETL and data pipelines for datasets, including the use of data validations to ensure reliability.
• Familiarity with big data tools (Spark, Airflow) and version control using Git.
• Solid experience with data visualization tools (e.g., Looker, Tableau) and dashboard development.
• Deep understanding of statistics, hypothesis testing, and data mining.
• Strong cross-functional collaboration and stakeholder management skills, with the ability to influence product and business outcomes.
• Proactive, self-directed, and able to manage multiple priorities in a dynamic, global environment.
• Excellent communication and storytelling skills, translating data insights into business value.
•  You speak fluently Portuguese and English

Important Information:

• Please, note that this role is a full-time position in Sao Paulo (3 days in office, 2 at home). It will require a relocation in case you live outside of these areas.
• Please apply with an English resume. Our full interview process is conducted in English.
• Applicants must be legally authorized to work in Brazil. We do not offer visa sponsorship for this position. We offer relocation package to successful candidates with legal right to work in Brazil internationally and locally to Sao Paulo. 

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 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.

Optimization Data Analyst 

We are seeking an experienced Optimization Data Analyst  to play a critical role in driving scalable optimizations and advanced analytics across Adyen’s global Performance Optimization team. As a mid-level analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver actionable insights that maximize merchant growth.

This role is ideal for an experienced analyst looking to deepen technical impact while influencing product and business outcomes at scale.

What You’ll Do

• Data-Driven Optimization: Analyze large-scale payment datasets to identify performance trends, uncover optimization opportunities, and deliver high-impact recommendations to our biggest customers, while identifying and driving scalable opportunities that benefit the broader merchant base.
• Scalable Tooling & Automation: Design and build scalable analytics solutions, automation pipelines, and self-service tools that empower internal teams and stakeholders.
• Cross-Functional Collaboration: Partner with Product, Data, and Commercial teams to translate business challenges into analytical solutions, driving continuous platform improvements.
• Advanced Problem-Solving & Experimentation: Lead complex A/B testing and data investigations, shaping data-driven strategies and validating hypotheses with analytical rigor.
• Strategic Data Storytelling: Drive strategic discussions by synthesizing complex data into compelling narratives, tailoring insights for technical and non-technical audiences, and positioning the Performance Optimization team as a key business enabler.
• Mentorship & Best Practices: Support knowledge-sharing within the Performance Optimization team, contributing to the elevation of analytical standards and technical excellence.
  
  

Who You Are

• 3–5 years of relevant experience in a data analytics, data science, or similar role, ideally in fintech, payments, or a high-growth tech environment.
• Strong proficiency in Python, SQL, and PySpark, with hands-on experience in large-scale data processing.
• Ability to design and develop efficient and scalable ETL and data pipelines for datasets, including the use of data validations to ensure reliability.
• Familiarity with big data tools (Spark, Airflow) and version control using Git.
• Solid experience with data visualization tools (e.g., Looker, Tableau) and dashboard development.
• Deep understanding of statistics, hypothesis testing, and data mining.
• Strong cross-functional collaboration and stakeholder management skills, with the ability to influence product and business outcomes.
• Proactive, self-directed, and able to manage multiple priorities in a dynamic, global environment.
• Excellent communication and storytelling skills, translating data insights into business value.
•  You speak fluently Portuguese and English

Important Information:

• Please, note that this role is a full-time position in Sao Paulo (3 days in office, 2 at home). It will require a relocation in case you live outside of these areas.
• Please apply with an English resume. Our full interview process is conducted in English.
• Applicants must be legally authorized to work in Brazil. We do not offer visa sponsorship for this position. We offer relocation package to successful candidates with legal right to work in Brazil internationally and locally to Sao Paulo. 

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 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.

Senior Identity Governance Analyst

Adyen’s Enterprise Access Management team is looking for a Senior Identity Governance Analyst to help us establish the guardrails for our identity environment. We need a professional who can bridge the gap between business logic and technical implementation to help ensure our access models are secure and scalable.

What You’ll Do

• Coordinate periodic access certification campaigns and audits across key directory services and SaaS platforms.
• Collaborate with business owners to define role-based access controls (RBAC) and approval hierarchies during application onboarding.
• Analyze joiner-mover-leaver (JML) workflows to maintain data hygiene and ensure access remains aligned with current organizational structures.
• Provide oversight for privileged account management to verify documented approval and ongoing business necessity for administrative access.
• Develop governance standards for non-human identities and AI agents to ensure visibility and adherence to security policies.
• Translate governance policies into actionable technical requirements for integration with identity automation and internal platforms.
• Act as a primary point of contact for internal and external auditors to support compliance reporting and control validation.
• Develop and maintain governance metrics and reporting - including certification completion rates, orphaned account tracking, and separation-of-duties violation monitoring - to measure program effectiveness.

Who You Are

• Professional experience in identity governance, risk, or compliance within an enterprise environment.
• Hands-on experience with identity governance platforms such as SailPoint, Okta Identity Governance, Saviynt, or similar IGA solutions, including access certifications, role management, and lifecycle policy configuration.
• Experience supporting compliance frameworks such as PCI DSS v4, ISO 27001, ISO 27002 or SOC 2, including evidence collection and control validation for internal and external audits.
• Strong understanding of identity lifecycles, least-privilege principles, and RBAC frameworks.
• Proven track record of managing data-driven audit and remediation projects independently.
• Analytical mindset focused on identifying process improvements and implementing scalable governance solutions.
• Collaborative team player who thrives on solving complex identity challenges.
• Strong communication skills with the ability to translate governance requirements for both technical and non-technical stakeholders.
• Experience in financial services, payments, or fintech is a plus.

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 Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

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.

Team Lead, Performance Optimization

We are looking for a Team Lead to build, mentor, and guide a hybrid team of Optimization Managers and Data Analysts. This team is key to driving customer growth, combining consultative merchant engagement with large-scale analytics, experimentation, and automated solutions.

In this role, you’ll lead initiatives that optimize authorization rates, manage risk, and improve cost efficiency, while acting as a trusted advisor to merchants. Success requires a blend of people leadership, technical strategy, commercial insight, and cross-functional collaboration to ensure our products deliver maximum impact.

What you’ll do

• Build, coach, and scale a high-performing hybrid team of strategists and data analysts, setting clear expectations around quality, impact, and technical excellence
• Lead merchant-facing optimization engagements, ensuring recommendations are data-driven, product-aligned, and deliver measurable improvements in risk, fraud, and cost efficiency
• Guide the team in designing and implementing automated data solutions, utilizing Adyen products, big data platforms, and analytics tools to identify risks and opportunities. Champion scalable solutions (e.g., automated processes, dashboards, ETL pipelines) that improve operational efficiency without sacrificing quality
• Own team prioritization across merchant work, up-skilling, and strategic initiatives; manage senior stakeholders and communicate clear trade-offs
• Partner cross-functionally with Commercial, Product, Risk, and Operations to translate merchant insights into roadmap influence and position the team as subject matter experts in payments, fraud, and risk

Who you are

• 7+ years of experience bridging Data Analytics/Data Science and payments
• 2+ years of experience in a formal people leadership role, with a proven ability to lead teams that balance technical depth, customer impact, and operational excellence
• Strong technical expertise in Python, SQL, PySpark, and scalable data processing; hands-on experience with big data platforms and ETL pipelines
• Experience in automation, analytics tooling, and driving scalable solutions in a data-driven organization
• Excellent stakeholder management skills, with the ability to influence Product and Commercial partners through data storytelling, structured thinking, and actionable insights
• Clear communicator and confident presenter, able to engage senior external and internal stakeholders
• Entrepreneurial mindset with strong prioritization skills, a high sense of ownership, and the ability to thrive in a fast-paced, global environment

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 Shanghai office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.