Senior Data Analyst, Revenue Operations at Adyen
New York, NY 10001
About the Job
This is AdyenAdyen 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 Data AnalystWe are looking for a Senior Data Analyst to join our Revenue Operations Analytics team
The ideal candidate is someone that has a structured, technical and analytical approach to solving complex problems, translating insights into scalable, actionable data products.This role will focus on two key areas: leveraging technical expertise to enhance team efficiency and enable self-service analytics for the Commercial organization, and providing actionable insights to guide and improve decision-making
Additionally, the analyst will drive automation and scalability projects.What you'll doTechnical Contributions: Collaborate with internal analytics teams to develop and optimize Revenue Operations data pipelines using PySpark and other big data tools
Create and enhance ETLs to ensure data consistency and reliability
Design LookML models and build Looker dashboards.Data Quality and Governance: Develop and maintain a data governance strategy that ensures data quality and reliability
Own technical documentation, creating detailed and consistent records for data processes, models, and pipelines
Act as the technical subject matter expert for the Revenue Analytics team, providing troubleshooting support as needed.Automation and scalability: Automate reporting processes to drive scalability in projects and products, such as Quarterly Business Reviews (QBRs).Data Insights: Convert data into formats optimized for analysis to support commercial challenges that are faced by regional teams.Project Management: Identify business data needs, translate them into technical requirements, and ensure infrastructure and pipelines are in place for data collection and integration.Team Collaboration: Collaborate with cross-functional data teams to develop scalable and reusable frameworks for evaluating large datasets on pressing business questions
Work closely with other Revenue Operations teams, such as the Tooling & Integration team, to align on data and technical initiatives.Who you areMust haves:4+ years of experience in Data Analytics.Proficiency in Python and SQL for data analysis and processing.Good communication and collaboration skills, with the ability to work effectively within a global, multicultural team.Experience with analytical and statistical techniques, including both descriptive and predictive analytics (e.g., distributions, correlations, hypothesis testing, regression analysis).Data wrangling expertise: skilled in cleaning, transforming, and organizing large datasets, handling missing data, detecting outliers, and ensuring data integrity.Strong analytical skills: adept at extracting meaningful insights from complex datasets and translating them into actionable recommendations.Availability for business trips: As a global company with a significant portion of the team based in Amsterdam and San Francisco, flexibility for work-related travel is required to support collaboration on projects and other initiatives that may require in-person engagement.Nice to haves:Experience working with commercial teams, particularly in B2B companies that rely on commercial data for informed decision-making.Familiarity with big data tools such as Spark and Airflow.A background in econometrics, data science, engineering, or other quantitative studies.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.Adyen is an equal opportunity employer
We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.All your information will be kept confidential according to EEO guidelines.This role is based out of our New York City office
We are an office-first company and value in-person collaboration; we do not offer remote-only roles.The annual base salary for this role is $150,000 - $180,000.
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 Data AnalystWe are looking for a Senior Data Analyst to join our Revenue Operations Analytics team
The ideal candidate is someone that has a structured, technical and analytical approach to solving complex problems, translating insights into scalable, actionable data products.This role will focus on two key areas: leveraging technical expertise to enhance team efficiency and enable self-service analytics for the Commercial organization, and providing actionable insights to guide and improve decision-making
Additionally, the analyst will drive automation and scalability projects.What you'll doTechnical Contributions: Collaborate with internal analytics teams to develop and optimize Revenue Operations data pipelines using PySpark and other big data tools
Create and enhance ETLs to ensure data consistency and reliability
Design LookML models and build Looker dashboards.Data Quality and Governance: Develop and maintain a data governance strategy that ensures data quality and reliability
Own technical documentation, creating detailed and consistent records for data processes, models, and pipelines
Act as the technical subject matter expert for the Revenue Analytics team, providing troubleshooting support as needed.Automation and scalability: Automate reporting processes to drive scalability in projects and products, such as Quarterly Business Reviews (QBRs).Data Insights: Convert data into formats optimized for analysis to support commercial challenges that are faced by regional teams.Project Management: Identify business data needs, translate them into technical requirements, and ensure infrastructure and pipelines are in place for data collection and integration.Team Collaboration: Collaborate with cross-functional data teams to develop scalable and reusable frameworks for evaluating large datasets on pressing business questions
Work closely with other Revenue Operations teams, such as the Tooling & Integration team, to align on data and technical initiatives.Who you areMust haves:4+ years of experience in Data Analytics.Proficiency in Python and SQL for data analysis and processing.Good communication and collaboration skills, with the ability to work effectively within a global, multicultural team.Experience with analytical and statistical techniques, including both descriptive and predictive analytics (e.g., distributions, correlations, hypothesis testing, regression analysis).Data wrangling expertise: skilled in cleaning, transforming, and organizing large datasets, handling missing data, detecting outliers, and ensuring data integrity.Strong analytical skills: adept at extracting meaningful insights from complex datasets and translating them into actionable recommendations.Availability for business trips: As a global company with a significant portion of the team based in Amsterdam and San Francisco, flexibility for work-related travel is required to support collaboration on projects and other initiatives that may require in-person engagement.Nice to haves:Experience working with commercial teams, particularly in B2B companies that rely on commercial data for informed decision-making.Familiarity with big data tools such as Spark and Airflow.A background in econometrics, data science, engineering, or other quantitative studies.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.Adyen is an equal opportunity employer
We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.All your information will be kept confidential according to EEO guidelines.This role is based out of our New York City office
We are an office-first company and value in-person collaboration; we do not offer remote-only roles.The annual base salary for this role is $150,000 - $180,000.
