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Adyen
Adyen

Global payment platform for businesses

Data Analyst

职能数据分析
级别中级
地点São Paulo, Brazil
方式现场办公
类型全职
发布2个月前
立即申请

必备技能

Python

SQL

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 Py Spark, 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(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 legallyauthorized 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 Paolo.

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.

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关于Adyen

Adyen

Adyen

Public

Adyen is a Dutch payment company with the status of an acquiring bank that allows businesses to accept e-commerce, mobile, and point-of-sale payments. It is listed on the stock exchange Euronext Amsterdam.

1,001-5,000

员工数

Netherlands

总部位置

$18B

企业估值

评价

10条评价

4.1

10条评价

工作生活平衡

2.8

薪酬

4.2

企业文化

4.3

职业发展

3.5

管理层

3.2

75%

推荐率

优点

High salary and excellent benefits

Supportive team and collaborative environment

Professional development and learning opportunities

缺点

High workload and overwhelming demands

Poor work-life balance and long hours

Disorganized management and lack of direction

薪资范围

38个数据点

Director

Director · Business Analyst - Pricing

1份报告

$207,147

年薪总额

基本工资

$180,128

股票

-

奖金

-

$207,147

$207,147

面试评价

6条评价

难度

3.0

/ 5

时长

14-28周

录用率

17%

体验

正面 0%

中性 50%

负面 50%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Skills Assessment

5

Final Technical Interview

6

Offer

常见问题

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR

Past Experience